_id large_stringlengths 24 24 | hash large_stringlengths 16 16 | vocab_hash large_stringlengths 16 16 | vocab_size int64 1 2.4M | model_type large_stringclasses 4
values | num_merges float64 0 4.41M ⌀ | has_normalizer bool 2
classes | has_pre_tokenizer bool 2
classes | has_post_processor bool 2
classes | has_decoder bool 2
classes | num_added_tokens int64 0 479k | normalizer_type large_stringclasses 11
values | pre_tokenizer_type large_stringclasses 10
values | decoder_type large_stringclasses 9
values | normalizer_types listlengths 0 11.3k ⌀ | pre_tokenizer_types listlengths 1 35 ⌀ | decoder_types listlengths 0 24 ⌀ | tokenizer_id int64 0 24.8k | id large_stringlengths 7 122 | author stringlengths 2 41 ⌀ | base_models dict | downloads int64 0 206M | downloads_all_time int64 0 2.81B | gated stringclasses 3
values | created_at timestamp[us, tz=UTC]date 2022-03-02 23:29:04 2025-11-03 14:41:54 | last_modified timestamp[us, tz=UTC]date 2020-12-11 21:34:15 2026-03-29 10:14:05 ⌀ | library_name stringclasses 36
values | likes int64 0 13.1k | trending_score float64 0 47 | model_index stringlengths 30 911k ⌀ | pipeline_tag stringclasses 46
values | safetensors stringlengths 30 122 ⌀ | siblings listlengths 0 10k ⌀ | sha stringlengths 40 40 ⌀ | tags listlengths 2 1.82k ⌀ | gguf stringclasses 789
values | config stringlengths 2 53.7k ⌀ | transformers_info dict | card_data stringlengths 234 905k ⌀ | card stringlengths 0 638k ⌀ | spaces null | licenses listlengths 1 3 ⌀ | datasets listlengths 1 289 ⌀ | languages listlengths 1 1.81k ⌀ | safetensors_params float64 0 1,019B ⌀ | gguf_params float64 0 122B ⌀ | metrics listlengths 1 15 ⌀ | architectures listlengths 1 6 ⌀ | tasks listlengths 1 6 ⌀ | modalities listlengths 1 4 ⌀ | input_modalities listlengths 1 3 ⌀ | output_modalities listlengths 1 4 ⌀ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
655160d07490049d624e609e | 3ca6be4fb6a7da23 | e6c14d62e5b603c1 | 46,337 | BPE | 77,738 | true | false | true | true | 9 | Sequence | null | Sequence | [
"NFKC",
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 1,008 | genne/otter3.1.4n_7B | genne | null | 15 | 85,738 | False | 2023-11-12T23:33:36Z | 2023-11-16T05:36:06Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"config.json",
"generation_config.json",
"pytorch_model-00001-of-00003.bin",
"pytorch_model-00002-of-00003.bin",
"pytorch_model-00003-of-00003.bin",
"pytorch_model.bin.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 2b274cafb16c59948f4bb71b6044f338084a7fa5 | [
"transformers",
"pytorch",
"llama",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": "[PAD]", "unk_token": "<unk>", "use_default_system_prompt": false}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
64df794756731bec6243b21b | e23b6bdbe047bb7e | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 46 | aiplanet/effi-13b | aiplanet | null | 801 | 89,622 | False | 2023-08-18T13:59:35Z | 2023-08-20T04:16:56Z | transformers | 10 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"adapter_config.json",
"adapter_model.bin",
"config.json",
"generation_config.json",
"pytorch_model-00001-of-00003.bin",
"pytorch_model-00002-of-00003.bin",
"pytorch_model-00003-of-00003.bin",
"pytorch_model.bin.index.json",
"special_tokens_map.json",
"tokenizer.... | 37e746d687b38f5199f5eb0c7ea22647d1d88fb9 | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:kaist-ai/CoT-Collection",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<s>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "</s>", "lstrip": false, "normalized": false, "rstrip... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["kaist-ai/CoT-Collection"], "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["accuracy"], "model_name": null, "pipeline_tag": "text-generation", "tags": null} | # Model card for aiplanet/effi-13b
effi-13B parameters is a causal decoder-only model built by AI Planet based on Llama-2-13b-chat-hf and fine tuned using the 1.8 Million coversations from CoT dataset available in huggingface datasets. The model is made available under the Apache 2.0 license.
## Why use effi-13B-Inst... | null | [
"apache-2.0"
] | [
"kaist-ai/CoT-Collection"
] | null | null | null | [
"accuracy"
] | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67a41d51ab94d3ad64788e16 | 848b60b6cd304b65 | ffc911e785abe60e | 151,665 | BPE | 151,387 | true | true | true | true | 22 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 15 | unsloth/Qwen2.5-0.5B-unsloth-bnb-4bit | unsloth | {
"models": [
{
"_id": "66e6cfeb6998c3d86c14e163",
"id": "Qwen/Qwen2.5-0.5B"
}
],
"relation": "quantized"
} | 70,140 | 190,568 | False | 2025-02-06T02:24:17Z | 2025-04-28T04:13:33Z | transformers | 3 | 0 | null | text-generation | {"parameters": {"F32": 60294, "BF16": 179099520, "U8": 324826424}, "total": 503986238} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 78aa76add6b52793c6efcc89e832a169873df796 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"unsloth",
"qwen",
"zho",
"eng",
"fra",
"spa",
"por",
"deu",
"ita",
"rus",
"jpn",
"kor",
"vie",
"tha",
"ara",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-0.5B",
"base_model:quantized:Qwen/Qwen2.5-0.5B",
"license:... | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "quantization_config": {"load_in_4bit": true, "load_in_8bit": false, "quant_method": "bitsandbytes"}, "tokenizer_config": {"bos_token": null, "eos_token": "<|endoftext|>", "pad_token": "<|vision_pad|>", "unk_token": null}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "Qwen/Qwen2.5-0.5B", "datasets": null, "eval_results": null, "language": ["zho", "eng", "fra", "spa", "por", "deu", "ita", "rus", "jpn", "kor", "vie", "tha", "ara"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "... | <div>
<p style="margin-bottom: 0;">
<strong>See <a href="https://huggingface.co/collections/unsloth/qwen-25-66fe4c08fb9ada518e8a0d3f">our collection</a> for versions of Qwen2.5 including 4-bit formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em>Unsloth's <a href="https://unsloth.ai/blog/dynamic-... | null | [
"apache-2.0"
] | null | [
"zho",
"eng",
"fra",
"spa",
"por",
"deu",
"ita",
"rus",
"jpn",
"kor",
"vie",
"tha",
"ara"
] | 503,986,238 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
664ab3f2b9aa0e198384cbf7 | 803e3c8528c55bf1 | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 352 | failspy/Smaug-Llama-3-70B-Instruct-abliterated-v3 | failspy | null | 8,387 | 126,750 | False | 2024-05-20T02:22:42Z | 2024-05-22T05:46:05Z | transformers | 14 | 0 | null | text-generation | {"parameters": {"BF16": 70553706496}, "total": 70553706496} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00030.safetensors",
"model-00002-of-00030.safetensors",
"model-00003-of-00030.safetensors",
"model-00004-of-00030.safetensors",
"model-00005-of-00030.safetensors",
"model-00006-of-00030.safetensors",
"model-0... | 6769510451a893c9dc661d14c9d2c1a7711f02a0 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:llama3",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|e... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "llama3", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # Smaug-Llama-3-70B-Instruct-abliterated-v3 Model Card
[My Jupyter "cookbook" to replicate the methodology can be found here, refined library coming soon](https://huggingface.co/failspy/llama-3-70B-Instruct-abliterated/blob/main/ortho_cookbook.ipynb)
I'll be honest: it just kinda bothered me Smaug isn't evil enough.
... | null | [
"llama3"
] | null | null | 70,553,706,496 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
663b5b1573144935ec5a34f9 | f0b30459222b62d4 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 36 | KevSun/Engessay_grading_ML | KevSun | null | 78 | 85,761 | False | 2024-05-08T10:59:33Z | 2024-07-28T10:24:50Z | transformers | 14 | 0 | null | text-classification | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | 3de133614f5b91172eb35d3e1e93a8de4a38bad4 | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"arxiv:2406.01198",
"license:mit",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForSequenceClassification"], "model_type": "roberta", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<s>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "cls_token": {"__type": "AddedToken", "content": "<s>", "lstrip": false, "normalized"... | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | This model is primarily designed for the **automatic grading of English essays**, particularly those written by second language (L2) learners.
The training dataset used is the English Language Learner Insight, Proficiency, and Skills Evaluation (ELLIPSE) Corpus.
This freely available resource comprises approximately ... | null | [
"mit"
] | null | null | null | null | null | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6319b68c8b8425c8fe62df1a | 35f8a93a304f6b78 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 6 | microsoft/trocr-large-str | microsoft | null | 133 | 88,080 | False | 2022-09-08T09:31:56Z | 2023-01-24T17:17:11Z | transformers | 17 | 0 | null | image-to-text | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"preprocessor_config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 1105e441eaa192e99f3991d2958134348c623f4f | [
"transformers",
"pytorch",
"vision-encoder-decoder",
"image-text-to-text",
"trocr",
"image-to-text",
"arxiv:2109.10282",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["VisionEncoderDecoderModel"], "model_type": "vision-encoder-decoder", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<s>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "cls_token": {"__type": "AddedToken", "content": "<s>", "lstrip": false, "nor... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["trocr", "image-to-text"], "widget": [{"src": "https://raw.githubusercontent.com/ku21fan/S... | # TrOCR (large-sized model, fine-tuned on STR benchmarks)
TrOCR model fine-tuned on the training sets of IC13, IC15, IIIT5K, SVT. It was introduced in the paper [TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models](https://arxiv.org/abs/2109.10282) by Li et al. and first released in [this r... | null | null | null | null | null | null | null | [
"AutoModelForImageTextToText",
"vision-encoder-decoder",
"VisionEncoderDecoderModel"
] | [
"image-text-to-text",
"image-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
673d51e0d7c4609107c9188d | 64d08e5aaeb5ca63 | f7c384c23bf1ce7c | 128,257 | BPE | 280,147 | false | true | true | true | 257 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 579 | allenai/Llama-3.1-Tulu-3-8B-DPO | allenai | {
"models": [
{
"_id": "673b92458a71c90d8b1054f6",
"id": "allenai/Llama-3.1-Tulu-3-8B-SFT"
}
],
"relation": "finetune"
} | 5,963 | 109,260 | False | 2024-11-20T03:05:04Z | 2025-06-11T05:03:09Z | transformers | 30 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"metadata.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"notice.txt",
"pytorch_model-... | a7beb67e33ffd01cc87ac3b46cadc1000985b8db | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"conversational",
"en",
"dataset:allenai/llama-3.1-tulu-3-8b-preference-mixture",
"arxiv:2411.15124",
"base_model:allenai/Llama-3.1-Tulu-3-8B-SFT",
"base_model:finetune:allenai/Llama-3.1-Tulu-3-8B-SFT",
"license:llama3.1",
... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}{{ '<|system|>\n' + message['content'] + '\n' }}{% elif message['role'] == 'user' %}{{ '<|user|>\n' + message['content'... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["allenai/Llama-3.1-Tulu-3-8B-SFT"], "datasets": ["allenai/llama-3.1-tulu-3-8b-preference-mixture"], "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "llama3.1", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-gene... | <img src="https://huggingface.co/datasets/allenai/blog-images/resolve/main/tulu3/Tulu3-logo.png" alt="Tulu 3 banner" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Llama-3.1-Tulu-3-8B-DPO
Tülu3 is a leading instruction following model family, offering fully open-source data, code, and ... | null | [
"llama3.1"
] | [
"allenai/llama-3.1-tulu-3-8b-preference-mixture"
] | [
"en"
] | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
64c8b9a90b2ba05b2f53aff6 | b239d9ef1db07906 | 309608fdedb28a41 | 41,316 | Unigram | null | true | true | true | true | 9,319 | Precompiled | Sequence | Metaspace | [
"Precompiled"
] | [
"WhitespaceSplit",
"Metaspace"
] | [
"Metaspace"
] | 1,009 | MaggiePai/long-t5-encodec-tglobal-base_squadv2 | MaggiePai | null | 14 | 85,240 | False | 2023-08-01T07:52:09Z | 2023-09-08T12:41:23Z | transformers | 0 | 0 | null | null | {"parameters": {"F32": 261700224}, "total": 261700224} | [
".gitattributes",
"added_tokens.json",
"config.json",
"generation_config.json",
"model.safetensors",
"optimizer.pt",
"pytorch_model.bin",
"rng_state.pth",
"scheduler.pt",
"special_tokens_map.json",
"spiece.model",
"tokenizer.json",
"tokenizer_config.json",
"trainer_state.json",
"training... | 8a2c9f26d3e316c468e676738c6fa005ccf8afd7 | [
"transformers",
"pytorch",
"safetensors",
"longt5",
"text2text-generation",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LongT5ForConditionalGeneration"], "model_type": "longt5", "tokenizer_config": {"eos_token": "</s>", "pad_token": "<pad>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | 261,700,224 | null | null | [
"AutoModelForSeq2SeqLM",
"longt5",
"LongT5ForConditionalGeneration"
] | [
"text2text-generation"
] | null | null | null |
6615f3466bfa20cb637f71e3 | 419c74e24d160c7e | cad4902422b140fb | 64,000 | BPE | 110,029 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 895 | wenbopan/Faro-Yi-34B-DPO | wenbopan | null | 8,352 | 126,166 | False | 2024-04-10T02:02:46Z | 2024-04-10T03:16:31Z | transformers | 1 | 0 | null | text-generation | {"parameters": {"BF16": 34388917248}, "total": 34388917248} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"mergekit_config.yml",
"model-00001-of-00007.safetensors",
"model-00002-of-00007.safetensors",
"model-00003-of-00007.safetensors",
"model-00004-of-00007.safetensors",
"model-00005-of-00007.safetensors",
"model-00006-of-00007... | 81f02facef3537cfee390b2d610ab0d1c90be2b5 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"en",
"zh",
"dataset:wenbopan/Chinese-dpo-pairs",
"dataset:Intel/orca_dpo_pairs",
"dataset:argilla/ultrafeedback-binarized-preferences-cleaned",
"dataset:jondurbin/truthy-dpo-v0.1",
"arxiv:2303.08774",
"license:mit"... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|startoftext|>", "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content']... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["wenbopan/Chinese-dpo-pairs", "Intel/orca_dpo_pairs", "argilla/ultrafeedback-binarized-preferences-cleaned", "jondurbin/truthy-dpo-v0.1"], "eval_results": null, "language": ["en", "zh"], "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null... | # Faro-Yi-9B-DPO
This is the DPO version of [wenbopan/Faro-Yi-34B](https://huggingface.co/wenbopan/Faro-Yi-34B). Compared to Faro-Yi-34B and [Yi-34B-200K](https://huggingface.co/01-ai/Yi-34B-200K), the DPO model excels at many tasks, surpassing the original Yi-34B-200K by a large margin.
## How to Use
Faro-Yi-34B-DPO... | null | [
"mit"
] | [
"wenbopan/Chinese-dpo-pairs",
"Intel/orca_dpo_pairs",
"argilla/ultrafeedback-binarized-preferences-cleaned",
"jondurbin/truthy-dpo-v0.1"
] | [
"en",
"zh"
] | 34,388,917,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66b521300cb364e6552e3a30 | e23b6bdbe047bb7e | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 46 | realtreetune/rho-1b-sft-GSM8K | realtreetune | {
"models": [
{
"_id": "6617878c7a67ace575367288",
"id": "microsoft/rho-math-1b-v0.1"
}
],
"relation": "finetune"
} | 250 | 87,625 | False | 2024-08-08T19:49:04Z | 2024-10-03T05:41:51Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"BF16": 1100048384}, "total": 1100048384} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | b28fda3216f8178c1f37c3c764196e3ca2439a30 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:2410.01679",
"arxiv:1910.09700",
"base_model:microsoft/rho-math-1b-v0.1",
"base_model:finetune:microsoft/rho-math-1b-v0.1",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": null, "unk_token": "<unk>", "use_default_system_prompt": false}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["microsoft/rho-math-1b-v0.1"], "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # SFT Checkpoint for Rho 1B on SFT
Refer to [https://arxiv.org/abs/2410.01679](https://arxiv.org/abs/2410.01679) for more info.
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a ... | null | null | null | null | 1,100,048,384 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6790abc1dabae4baac885d48 | 1774aa5af215e36a | 6b3612a55f8124d9 | 151,657 | BPE | 151,387 | true | true | true | true | 14 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 576 | ByteDance-Seed/UI-TARS-72B-DPO | ByteDance-Seed | null | 561 | 90,683 | False | 2025-01-22T08:26:41Z | 2025-01-25T15:07:01Z | transformers | 151 | 0 | null | image-text-to-text | {"parameters": {"BF16": 73405560320}, "total": 73405560320} | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.json",
"config.json",
"merges.txt",
"model-00001-of-00031.safetensors",
"model-00002-of-00031.safetensors",
"model-00003-of-00031.safetensors",
"model-00004-of-00031.safetensors",
"model-00005-of-00031.safetensors",
"model-0000... | 43a70a29275e7d1569bb3f3dda5be4a2ff976d5f | [
"transformers",
"safetensors",
"qwen2_vl",
"image-text-to-text",
"multimodal",
"gui",
"conversational",
"en",
"arxiv:2501.12326",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["Qwen2VLForConditionalGeneration"], "model_type": "qwen2_vl", "processor_config": {"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpfu... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": ["multimodal", "gui"]} | null | null | [
"apache-2.0"
] | null | [
"en"
] | 73,405,560,320 | null | null | [
"AutoModelForImageTextToText",
"qwen2_vl",
"Qwen2VLForConditionalGeneration"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
662b113e329e32634322660e | 365b144a43eebf69 | 0f9ba3ea9625076d | 128,258 | BPE | 280,147 | false | true | true | true | 258 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 830 | dfurman/Llama-3-8B-Orpo-v0.1 | dfurman | {
"models": [
{
"_id": "661f97d48e7f3438386f755d",
"id": "meta-llama/Meta-Llama-3-8B"
}
],
"relation": "finetune"
} | 7,830 | 122,941 | False | 2024-04-26T02:28:14Z | 2024-09-17T16:28:49Z | transformers | 1 | 0 | [{"name": "Llama-3-8B-Orpo-v0.1", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "IFEval (0-Shot)", "type": "HuggingFaceH4/ifeval", "args": {"num_few_shot": 0}}, "metrics": [{"type": "inst_level_strict_acc and prompt_level_strict_acc", "value": 30, "name": "strict accur... | text-generation | {"parameters": {"F16": 8030277632}, "total": 8030277632} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"... | 2b49a35092f4be8a554905a8638aa112d294d391 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"orpo",
"llama 3",
"rlhf",
"sft",
"conversational",
"en",
"dataset:mlabonne/orpo-dpo-mix-40k",
"base_model:meta-llama/Meta-Llama-3-8B",
"base_model:finetune:meta-llama/Meta-Llama-3-8B",
"license:llama3",
"model-index",
"text-ge... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|im_start|>", "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["meta-llama/Meta-Llama-3-8B"], "datasets": ["mlabonne/orpo-dpo-mix-40k"], "language": ["en"], "library_name": "transformers", "license": "llama3", "tags": ["orpo", "llama 3", "rlhf", "sft"], "model-index": [{"name": "Llama-3-8B-Orpo-v0.1", "results": [{"task": {"type": "text-generation", "name": "Text G... | # dfurman/Llama-3-8B-Orpo-v0.1
This is an ORPO fine-tune of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on 4k samples of [mlabonne/orpo-dpo-mix-40k](https://huggingface.co/datasets/mlabonne/orpo... | null | [
"llama3"
] | [
"mlabonne/orpo-dpo-mix-40k"
] | [
"en"
] | 8,030,277,632 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
64b260d561fd81bcef9505cf | 2d0341bd3a73bae6 | ef4806e2ade9022f | 32,100 | Unigram | null | true | true | true | true | 103 | Sequence | Metaspace | Metaspace | [
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 32 | marianna13/flan-t5-base-summarization | marianna13 | null | 8 | 85,023 | False | 2023-07-15T09:03:17Z | 2023-07-15T09:43:46Z | transformers | 3 | 0 | null | summarization | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"spiece.model",
"tokenizer.json",
"tokenizer_config.json"
] | 85b418bd1211d850deb350f6967b2ab7d3111af1 | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"summarization",
"en",
"dataset:ChristophSchuhmann/gutenberg-wiki-arxiv-pubmed-soda-summaries",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["T5ForConditionalGeneration"], "model_type": "t5", "tokenizer_config": {"eos_token": "</s>", "pad_token": "<pad>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["ChristophSchuhmann/gutenberg-wiki-arxiv-pubmed-soda-summaries"], "eval_results": null, "language": ["en"], "library_name": "transformers", "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "summarization", "tags": null} | # Usage
```python
from transformers import pipeline
max_length = 50
min_length = 10
model_id = "marianna13/flan-t5-base-summarization"
summarizer = pipeline("summarization", model=model_id, max_length=max_length, min_length=min_length)
text = ''' For I am convinced that neither death nor life, neither angels nor de... | null | null | [
"ChristophSchuhmann/gutenberg-wiki-arxiv-pubmed-soda-summaries"
] | [
"en"
] | null | null | null | [
"t5",
"T5ForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation",
"summarization"
] | [
"text"
] | [
"text"
] | [
"text"
] |
683318a1c092c29d62a5d3cd | 75f1f03b998ca5e7 | 71eb2350f7e620d2 | 256,000 | BPE | 580,604 | true | true | true | true | 249 | Replace | Split | Sequence | [
"Replace"
] | [
"Split"
] | [
"Replace",
"ByteFallback",
"Fuse"
] | 980 | MERaLiON/MERaLiON-2-10B-ASR | MERaLiON | {
"models": [
{
"_id": "667928d58601cd537f63c846",
"id": "google/gemma-2-9b-it"
}
],
"relation": "finetune"
} | 1,346 | 127,590 | False | 2025-05-25T13:18:25Z | 2026-03-20T08:44:51Z | transformers | 10 | 0 | null | automatic-speech-recognition | {"parameters": {"BF16": 10106437888}, "total": 10106437888} | [
".gitattributes",
"MERaLiON-Public-Licence-v3.pdf",
"README.md",
"config.json",
"configuration_meralion2.py",
"generation_config.json",
"model-00001-of-00005.safetensors",
"model-00002-of-00005.safetensors",
"model-00003-of-00005.safetensors",
"model-00004-of-00005.safetensors",
"model-00005-of-... | 7fbc25efacdfaf7f94f8272bfaf072fbb0e88895 | [
"transformers",
"safetensors",
"meralion2",
"automatic-speech-recognition",
"meralion",
"meralion-2",
"custom_code",
"en",
"zh",
"ms",
"ta",
"id",
"th",
"vi",
"dataset:MERaLiON/Multitask-National-Speech-Corpus-v1",
"arxiv:2412.09818",
"arxiv:2501.01034",
"arxiv:2409.06635",
"base... | null | {"architectures": ["MERaLiON2ForConditionalGeneration"], "auto_map": {"AutoConfig": "configuration_meralion2.MERaLiON2Config", "AutoModelForSpeechSeq2Seq": "modeling_meralion2.MERaLiON2ForConditionalGeneration"}, "model_type": "meralion2", "tokenizer_config": {"bos_token": "<bos>", "chat_template": "{{ bos_token }}{% f... | {
"auto_model": "AutoModelForSpeechSeq2Seq",
"custom_class": "modeling_meralion2.MERaLiON2ForConditionalGeneration",
"pipeline_tag": "automatic-speech-recognition",
"processor": null
} | {"base_model": ["openai/whisper-large-v3", "google/gemma-2-9b-it"], "datasets": ["MERaLiON/Multitask-National-Speech-Corpus-v1"], "eval_results": null, "language": ["en", "zh", "ms", "ta", "id", "th", "vi"], "library_name": "transformers", "license": "other", "license_name": "meralion-public-license-v3", "license_link"... | null | null | [
"other",
"meralion-public-license-v3",
"https://huggingface.co/datasets/MERaLiON/MERaLiON_Public_Licence/blob/main/MERaLiON-Public-Licence-v3.pdf"
] | [
"MERaLiON/Multitask-National-Speech-Corpus-v1"
] | [
"en",
"zh",
"ms",
"ta",
"id",
"th",
"vi"
] | 10,106,437,888 | null | [
"wer",
"bleu"
] | [
"meralion2",
"modeling_meralion2.MERaLiON2ForConditionalGeneration",
"MERaLiON2ForConditionalGeneration",
"AutoModelForSpeechSeq2Seq"
] | [
"automatic-speech-recognition"
] | [
"multimodal"
] | [
"audio"
] | [
"text"
] |
66a0c935e7303199535d1118 | 1e0a2493163c0c63 | 6622292dca275a2d | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 18 | NousResearch/Meta-Llama-3.1-70B | NousResearch | null | 423 | 86,631 | False | 2024-07-24T09:28:21Z | 2024-07-26T02:02:06Z | transformers | 7 | 0 | null | text-generation | {"parameters": {"BF16": 70553706496}, "total": 70553706496} | [
".gitattributes",
"LICENSE",
"README.md",
"USE_POLICY.md",
"config.json",
"generation_config.json",
"model-00001-of-00030.safetensors",
"model-00002-of-00030.safetensors",
"model-00003-of-00030.safetensors",
"model-00004-of-00030.safetensors",
"model-00005-of-00030.safetensors",
"model-00006-o... | beb678ba5bd7eb1aafeffa01e2a2b3b5e93d1dd3 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-3",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"arxiv:2204.05149",
"license:llama3.1",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "eos_token": "<|end_of_text|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en", "de", "fr", "it", "pt", "hi", "es", "th"], "library_name": null, "license": "llama3.1", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["facebook", "meta", "pytorc... | ## Model Information
The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes (text in/text out). The Llama 3.1 instruction tuned text only models (8B, 70B, 405B) are optimized for multilingual dialogue us... | null | [
"llama3.1"
] | null | [
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th"
] | 70,553,706,496 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6628dde03b9b111a587311f8 | ea0d23b75fcf1975 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 371 | holistic-ai/rejection_detection | holistic-ai | {
"models": [
{
"_id": "621ffdc036468d709f174349",
"id": "distilbert/distilroberta-base"
}
],
"relation": "quantized"
} | 6,179 | 113,666 | False | 2024-04-24T10:24:32Z | 2025-08-19T10:50:51Z | transformers | 1 | 0 | [{"name": "distilroberta-base-rejection-v1", "results": []}] | text-classification | {"parameters": {"F32": 82119938}, "total": 82119938} | [
".gitattributes",
"README.md",
"config.json",
"distilroberta-base-rejection-v1_emissions.csv",
"emissions.csv",
"merges.txt",
"model.safetensors",
"onnx/config.json",
"onnx/merges.txt",
"onnx/model.onnx",
"onnx/special_tokens_map.json",
"onnx/tokenizer.json",
"onnx/tokenizer_config.json",
... | e8ef4844f267151bca74e2d27240ccfd607b3b8c | [
"transformers",
"onnx",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"rejection",
"no_answer",
"chatgpt",
"en",
"dataset:argilla/notus-uf-dpo-closest-rejected",
"base_model:distilbert/distilroberta-base",
"base_model:quantized:distilbert/distilroberta-base",
"... | null | {"architectures": ["RobertaForSequenceClassification"], "model_type": "roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": "distilroberta-base", "datasets": ["argilla/notus-uf-dpo-closest-rejected"], "eval_results": [], "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["accuracy", "recall", "precision", "f1"], "model_name": "distilroberta-base-rejection... | # Model Card: distilroberta-base-rejection-v1
This model was originally developed and fine-tuned by **[Protect AI](https://protectai.com/)**. It is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base), trained on multiple datasets containing rejection responses from LLMs and standa... | null | [
"apache-2.0"
] | [
"argilla/notus-uf-dpo-closest-rejected"
] | [
"en"
] | 82,119,938 | null | [
"accuracy",
"recall",
"precision",
"f1"
] | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
646a5d1c13396ee0a566c0b9 | 8d41a1c0df4c43e0 | 8507af116e525098 | 57,531 | Unigram | null | true | true | true | true | 14 | Sequence | Metaspace | Metaspace | [
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 560 | ahmed-masry/unichart-chartqa-960 | ahmed-masry | null | 201 | 103,611 | False | 2023-05-21T18:04:12Z | 2023-05-21T18:08:15Z | transformers | 2 | 0 | null | image-text-to-text | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"preprocessor_config.json",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | e5eb1e52c1d775e0f3febaddc7fc3559e80cb989 | [
"transformers",
"pytorch",
"vision-encoder-decoder",
"image-text-to-text",
"license:gpl-3.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["VisionEncoderDecoderModel"], "model_type": "vision-encoder-decoder", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": {"__type": "AddedToken", "content": "<mask>", "lstrip": true, "normalized": true, "rstrip": false, "single_word": false}, "pad_token": ... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "gpl-3.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | null | null | [
"gpl-3.0"
] | null | null | null | null | null | [
"AutoModelForImageTextToText",
"vision-encoder-decoder",
"VisionEncoderDecoderModel"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
67ceb33c980da38a8280f6fe | 07ff74a08c136fbc | d78bd30bd01e3278 | 55,083 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 1,010 | sergeyzh/BERTA | sergeyzh | {
"models": [
{
"_id": "667d103dd466824f963395d3",
"id": "sergeyzh/LaBSE-ru-turbo"
}
],
"relation": "finetune"
} | 10,415 | 135,421 | False | 2025-03-10T09:39:08Z | 2025-03-10T09:41:08Z | sentence-transformers | 37 | 0 | null | sentence-similarity | {"parameters": {"F32": 128345088}, "total": 128345088} | [
".gitattributes",
"1_Pooling/config.json",
"README.md",
"config.json",
"config_sentence_transformers.json",
"model.safetensors",
"modules.json",
"sentence_bert_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 914c8c8aed14042ed890fc2c662d5e9e66b2faa7 | [
"sentence-transformers",
"safetensors",
"bert",
"feature-extraction",
"russian",
"pretraining",
"embeddings",
"sentence-similarity",
"transformers",
"ru",
"en",
"dataset:IlyaGusev/gazeta",
"dataset:zloelias/lenta-ru",
"dataset:HuggingFaceFW/fineweb-2",
"dataset:HuggingFaceFW/fineweb",
... | null | {"architectures": ["BertModel"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": "sergeyzh/LaBSE-ru-turbo", "datasets": ["IlyaGusev/gazeta", "zloelias/lenta-ru", "HuggingFaceFW/fineweb-2", "HuggingFaceFW/fineweb"], "eval_results": null, "language": ["ru", "en"], "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "p... | ## BERTA
Модель для расчетов эмбеддингов предложений на русском и английском языках получена методом дистилляции эмбеддингов [ai-forever/FRIDA](https://huggingface.co/ai-forever/FRIDA) (размер эмбеддингов - 1536, слоёв - 24) в [sergeyzh/LaBSE-ru-turbo](https://huggingface.co/sergeyzh/LaBSE-ru-turbo) (размер эмбеддин... | null | [
"mit"
] | [
"IlyaGusev/gazeta",
"zloelias/lenta-ru",
"HuggingFaceFW/fineweb-2",
"HuggingFaceFW/fineweb"
] | [
"ru",
"en"
] | 128,345,088 | null | null | [
"BertModel",
"AutoModel",
"bert"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
621ffdc136468d709f17dc6b | 41a000f2f9024404 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 13 | mariagrandury/roberta-base-finetuned-sms-spam-detection | mariagrandury | {
"models": [
{
"_id": "621ffdc036468d709f174350",
"id": "FacebookAI/roberta-base"
}
],
"relation": "finetune"
} | 71 | 85,616 | False | 2022-03-02T23:29:05Z | 2023-10-18T20:27:47Z | transformers | 5 | 0 | [{"name": "roberta-base-finetuned-sms-spam-detection", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "sms_spam", "type": "sms_spam", "args": "plain_text"}, "metrics": [{"type": "accuracy", "value": 0.998, "name": "Accuracy", "verified": false}]}]}] | text-classification | {"parameters": {"I64": 514, "F32": 124647170}, "total": 124647684} | [
".gitattributes",
".gitignore",
"README.md",
"config.json",
"merges.txt",
"model.safetensors",
"pytorch_model.bin",
"runs/Feb22_11-38-11_fbb39283dbe4/1645529963.0816956/events.out.tfevents.1645529963.fbb39283dbe4.83.1",
"runs/Feb22_11-38-11_fbb39283dbe4/events.out.tfevents.1645529963.fbb39283dbe4.83... | 228e35806fa368df2345b964563498b58087d84a | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"dataset:sms_spam",
"base_model:FacebookAI/roberta-base",
"base_model:finetune:FacebookAI/roberta-base",
"license:mit",
"model-index",
"text-embeddings-inference",
"endpoint... | null | {"architectures": ["RobertaForSequenceClassification"], "model_type": "roberta", "tokenizer_config": {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": "roberta-base", "datasets": ["sms_spam"], "license": "mit", "metrics": ["accuracy"], "tags": ["generated_from_trainer"], "model-index": [{"name": "roberta-base-finetuned-sms-spam-detection", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "sms_spam... | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-base-finetuned-sms-spam-detection
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-bas... | null | [
"mit"
] | [
"sms_spam"
] | null | 124,647,684 | null | [
"accuracy"
] | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
64248a1e56027738f92fc663 | db1f70281be29946 | 2fb7ed124e7316ec | 1,024 | BPE | 766 | true | true | true | true | 2 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 253 | hf-tiny-model-private/tiny-random-GPTNeoXForCausalLM | hf-tiny-model-private | null | 261 | 84,765 | False | 2023-03-29T18:57:34Z | 2023-03-29T18:57:39Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"config.json",
"generation_config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 5ba76e03f78dd016cd603ecb7a54b2db6e899b92 | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPTNeoXForCausalLM"], "model_type": "gpt_neox", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"gpt_neox",
"AutoModelForCausalLM",
"GPTNeoXForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
666238db2139ed9a00d1ed0e | e23b6bdbe047bb7e | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 46 | realtreetune/rho-1b-sft-MATH | realtreetune | {
"models": [
{
"_id": "6617878c7a67ace575367288",
"id": "microsoft/rho-math-1b-v0.1"
}
],
"relation": "finetune"
} | 58 | 85,535 | False | 2024-06-06T22:31:55Z | 2025-01-07T15:43:31Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"BF16": 1100048384}, "total": 1100048384} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | f4d0f86bfce159f0042cca9116a52c0b972f34aa | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:2410.01679",
"arxiv:1910.09700",
"base_model:microsoft/rho-math-1b-v0.1",
"base_model:finetune:microsoft/rho-math-1b-v0.1",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": null, "unk_token": "<unk>", "use_default_system_prompt": false}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["microsoft/rho-math-1b-v0.1"], "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # SFT Checkpoint for Rho 1B on MATH
Refer to [https://arxiv.org/abs/2410.01679](https://arxiv.org/abs/2410.01679) for more info.
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This ... | null | null | null | null | 1,100,048,384 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66688eec02fc753af910702e | 803e3c8528c55bf1 | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 352 | abacusai/Smaug-Llama-3-70B-Instruct-32K | abacusai | null | 8,401 | 125,672 | False | 2024-06-11T17:52:44Z | 2024-08-06T14:18:26Z | transformers | 21 | 0 | [{"name": "Smaug-Llama-3-70B-Instruct-32K", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "IFEval (0-Shot)", "type": "HuggingFaceH4/ifeval", "args": {"num_few_shot": 0}}, "metrics": [{"type": "inst_level_strict_acc and prompt_level_strict_acc", "value": 77.61, "name": ... | text-generation | {"parameters": {"BF16": 70553706496}, "total": 70553706496} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00030.safetensors",
"model-00002-of-00030.safetensors",
"model-00003-of-00030.safetensors",
"model-00004-of-00030.safetensors",
"model-00005-of-00030.safetensors",
"model-00006-of-00030.safetensors",
"model-0... | f05df8ff2eca6c5635f77c89217836e4aa02cdf6 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"dataset:aqua_rat",
"dataset:microsoft/orca-math-word-problems-200k",
"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"arxiv:2309.10400",
"arxiv:2106.09685",
"license:llama3",
"model-index",
"text-generation-infe... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|e... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"datasets": ["aqua_rat", "microsoft/orca-math-word-problems-200k", "m-a-p/CodeFeedback-Filtered-Instruction"], "library_name": "transformers", "license": "llama3", "model-index": [{"name": "Smaug-Llama-3-70B-Instruct-32K", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name":... | # Smaug-Llama-3-70B-Instruct-32K
### Built with Meta Llama 3
This is a 32K version of Smaug-Llama-3-70B-Instruct. It uses PoSE (https://arxiv.org/abs/2309.10400) and LoRA (https://arxiv.org/abs/2106.09685) adapter transfer. More details are coming soon.
Needle-In-A-Haystack (https://github.com/jzhang38/EasyContext) ... | null | [
"llama3"
] | [
"aqua_rat",
"microsoft/orca-math-word-problems-200k",
"m-a-p/CodeFeedback-Filtered-Instruction"
] | null | 70,553,706,496 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc136468d709f17a5ba | 8a8c94e1a59f5186 | ef4806e2ade9022f | 32,100 | Unigram | null | true | true | true | true | 103 | Precompiled | Sequence | Metaspace | [
"Precompiled"
] | [
"WhitespaceSplit",
"Metaspace"
] | [
"Metaspace"
] | 11 | deep-learning-analytics/GrammarCorrector | deep-learning-analytics | null | 52 | 85,123 | False | 2022-03-02T23:29:05Z | 2021-12-23T02:51:34Z | transformers | 13 | 0 | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"spiece.model",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json"
] | 6ca90bd771c373a0542d4257a5c34d26cd0d3c59 | [
"transformers",
"pytorch",
"tf",
"t5",
"text2text-generation",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["T5ForConditionalGeneration"], "model_type": "t5", "tokenizer_config": {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | null | ## Model description
T5 model trained for Grammar Correction. This model corrects grammatical mistakes in input sentences
### Dataset Description
The T5-base model has been trained on C4_200M dataset.
### Model in Action 🚀
```
import torch
from transformers import T5Tokenizer, T5ForConditionalGeneration
model_name =... | null | null | null | null | null | null | null | [
"t5",
"T5ForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation"
] | null | null | null |
66196605c153e4a0a297742c | 88cd37e502d27a0a | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 88 | Kukedlc/NeuralSynthesis-7b-v0.4-slerp | Kukedlc | {
"models": [
{
"_id": "6610c4115983d51627b68e1e",
"id": "Kukedlc/NeuralSynthesis-7B-v0.1"
},
{
"_id": "6607b954c3f9e7bca178edbd",
"id": "allknowingroger/MultiverseEx26-7B-slerp"
}
],
"relation": "merge"
} | 7,821 | 122,030 | False | 2024-04-12T16:49:09Z | 2024-05-25T17:09:46Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"BF16": 7241732096}, "total": 7241732096} | [
".config/.last_opt_in_prompt.yaml",
".config/.last_survey_prompt.yaml",
".config/.last_update_check.json",
".config/active_config",
".config/config_sentinel",
".config/configurations/config_default",
".config/default_configs.db",
".config/gce",
".config/logs/2024.04.16/13.22.03.134292.log",
".conf... | bb3bd36fce162f472668dbd91960cd1525b45f30 | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"allknowingroger/MultiverseEx26-7B-slerp",
"Kukedlc/NeuralSynthesis-7B-v0.1",
"base_model:Kukedlc/NeuralSynthesis-7B-v0.1",
"base_model:merge:Kukedlc/NeuralSynthesis-7B-v0.1",
"base_model:allknowi... | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": "<unk>", "unk_token": "<unk>", "use_default_system_prompt": false}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["allknowingroger/MultiverseEx26-7B-slerp", "Kukedlc/NeuralSynthesis-7B-v0.1"], "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["merge",... | # NeuralSynthesis-7b-v0.4-slerp
NeuralSynthesis-7b-v0.4-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [allknowingroger/MultiverseEx26-7B-slerp](https://huggingface.co/allknowingroger/MultiverseEx26-7B-slerp)
* [Ku... | null | [
"apache-2.0"
] | null | null | 7,241,732,096 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
62561e7fb26568008af13222 | 83bf28f8b6767a2f | ae88e903e2b563a1 | 50,295 | BPE | 50,000 | false | true | true | true | 39 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 85 | Salesforce/codegen-6B-mono | Salesforce | null | 994 | 86,370 | False | 2022-04-13T00:51:11Z | 2025-01-31T21:27:06Z | transformers | 40 | 1 | null | text-generation | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 62dfb58dbc7b5f04a3bc9b3ce0786fc82f1871b8 | [
"transformers",
"pytorch",
"codegen",
"text-generation",
"arxiv:2203.13474",
"license:bsd-3-clause",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["CodeGenForCausalLM"], "model_type": "codegen", "tokenizer_config": {"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "bsd-3-clause", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # CodeGen (CodeGen-Mono 6B)
## Model description
CodeGen is a family of autoregressive language models for **program synthesis** from the paper: [A Conversational Paradigm for Program Synthesis](https://arxiv.org/abs/2203.13474) by Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savare... | null | [
"bsd-3-clause"
] | null | null | null | null | null | [
"AutoModelForCausalLM",
"codegen",
"CodeGenForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f175ef9 | 1ad26bd5d805f2cc | 3bdf4d6ab819bf13 | 50,258 | BPE | 49,996 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 1,011 | IlyaGusev/rugpt3medium_sum_gazeta | IlyaGusev | null | 501 | 90,580 | False | 2022-03-02T23:29:04Z | 2022-07-13T15:36:49Z | transformers | 4 | 0 | null | summarization | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 2de06384e4ce5e24d78fce769e94cc524eaf09e8 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"causal-lm",
"summarization",
"ru",
"dataset:IlyaGusev/gazeta",
"license:apache-2.0",
"text-generation-inference",
"deploy:azure",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["IlyaGusev/gazeta"], "eval_results": null, "language": ["ru"], "library_name": null, "license": ["apache-2.0"], "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["causal-lm", "summarization"], "inference": false, "widget": [... | # RuGPT3MediumSumGazeta
## Model description
This is the model for abstractive summarization for Russian based on [rugpt3medium_based_on_gpt2](https://huggingface.co/sberbank-ai/rugpt3medium_based_on_gpt2).
## Intended uses & limitations
#### How to use
Colab: [link](https://colab.research.google.com/drive/1eR-ev... | null | [
"apache-2.0"
] | [
"IlyaGusev/gazeta"
] | [
"ru"
] | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"summarization",
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc136468d709f17a211 | 53ecf467267e2824 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 0 | cross-encoder/ms-marco-TinyBERT-L4 | cross-encoder | {
"models": [
{
"_id": "621ffdc136468d709f17e8fb",
"id": "nreimers/TinyBERT_L-4_H-312_v2"
}
],
"relation": "quantized"
} | 131 | 84,981 | False | 2022-03-02T23:29:05Z | 2025-08-29T14:35:39Z | sentence-transformers | 1 | 0 | null | text-ranking | {"parameters": {"I64": 512, "F32": 14350561}, "total": 14351073} | [
".gitattributes",
"CERerankingEvaluator_results.csv",
"README.md",
"config.json",
"flax_model.msgpack",
"model.safetensors",
"onnx/model.onnx",
"onnx/model_O1.onnx",
"onnx/model_O2.onnx",
"onnx/model_O3.onnx",
"onnx/model_O4.onnx",
"onnx/model_qint8_arm64.onnx",
"onnx/model_qint8_avx512.onnx... | 77fdad72b1dc120e5aac6f876b3950b836e3470a | [
"sentence-transformers",
"pytorch",
"jax",
"onnx",
"safetensors",
"openvino",
"bert",
"text-classification",
"transformers",
"text-ranking",
"en",
"dataset:sentence-transformers/msmarco",
"base_model:nreimers/TinyBERT_L-4_H-312_v2",
"base_model:quantized:nreimers/TinyBERT_L-4_H-312_v2",
... | null | {"architectures": ["BertForSequenceClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": ["nreimers/TinyBERT_L-4_H-312_v2"], "datasets": ["sentence-transformers/msmarco"], "eval_results": null, "language": ["en"], "library_name": "sentence-transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-ranking", "... | # Cross-Encoder for MS Marco
This model was trained on the [MS Marco Passage Ranking](https://github.com/microsoft/MSMARCO-Passage-Ranking) task.
The model can be used for Information Retrieval: Given a query, encode the query will all possible passages (e.g. retrieved with ElasticSearch). Then sort the passages in a... | null | [
"apache-2.0"
] | [
"sentence-transformers/msmarco"
] | [
"en"
] | 14,351,073 | null | null | [
"BertForSequenceClassification",
"bert",
"AutoModelForSequenceClassification"
] | [
"text-ranking",
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6549eb8fa480d1330176f2ae | 8bc6b61a7b6c29c2 | 4c6e091e8dffb5aa | 30,003 | BPE | 29,740 | false | true | true | true | 7 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 299 | nayohan/polyglot-ko-12.8b-Inst | nayohan | {
"models": [
{
"_id": "6349f4cb69e9c86c3d085ce0",
"id": "EleutherAI/polyglot-ko-12.8b"
}
],
"relation": "finetune"
} | 5 | 84,266 | False | 2023-11-07T07:47:27Z | 2023-11-17T17:03:46Z | transformers | 1 | 0 | null | text-generation | {"parameters": {"F32": 12892815360}, "total": 12892815360} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00011.safetensors",
"model-00002-of-00011.safetensors",
"model-00003-of-00011.safetensors",
"model-00004-of-00011.safetensors",
"model-00005-of-00011.safetensors",
"model-00006-of-00011.safetensors",
"model-0... | 59d6a09f08ae4385e0cfc9504c533c940f10a72e | [
"transformers",
"safetensors",
"gpt_neox",
"text-generation",
"polyglot-ko",
"gpt-neox",
"KoQuality",
"ko",
"dataset:DILAB-HYU/KoQuality",
"base_model:EleutherAI/polyglot-ko-12.8b",
"base_model:finetune:EleutherAI/polyglot-ko-12.8b",
"license:apache-2.0",
"text-generation-inference",
"endp... | null | {"architectures": ["GPTNeoXForCausalLM"], "model_type": "gpt_neox", "tokenizer_config": {"eos_token": "<|endoftext|>", "pad_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "EleutherAI/polyglot-ko-12.8b", "datasets": ["DILAB-HYU/KoQuality"], "eval_results": null, "language": ["ko"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["polyglot-ko", "gpt-ne... | This model is a instruct-tuned poylglot-ko-12.8b model, using 10% [Kullm, OIG, KoAlpaca] Instruction dataset.
len10_k100_mrand_n0.01.json -> 29step
## Training hyperparameters
- learning_rate: 5e-5
- seed: 42
- distributed_type: multi-GPU (A100 40G) + CPU offloading (512GB)
- num_devices: 1
- train_batch_size: 4
- g... | null | [
"apache-2.0"
] | [
"DILAB-HYU/KoQuality"
] | [
"ko"
] | 12,892,815,360 | null | null | [
"gpt_neox",
"AutoModelForCausalLM",
"GPTNeoXForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
673ade7679b5a48d37e7b92a | 01d574ae3b5f557d | f4a363c0b2dfd1b8 | 32,768 | BPE | 32,256 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 1,012 | SmallDoge/Doge-60M | SmallDoge | null | 182 | 84,509 | False | 2024-11-18T06:28:06Z | 2025-08-08T03:11:18Z | transformers | 4 | 0 | null | text-generation | {"parameters": {"BF16": 54575680}, "total": 54575680} | [
".gitattributes",
"Doge.png",
"README.md",
"config.json",
"configuration_doge.py",
"generation_config.json",
"model.safetensors",
"modeling_doge.py",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 69a75fcb2cf2749970f77a090da18dfa41a4e27b | [
"transformers",
"safetensors",
"doge",
"text-generation",
"pt",
"conversational",
"custom_code",
"en",
"dataset:HuggingFaceTB/smollm-corpus",
"arxiv:2412.11834",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DogeForCausalLM"], "auto_map": {"AutoConfig": "configuration_doge.DogeConfig", "AutoModelForCausalLM": "modeling_doge.DogeForCausalLM"}, "model_type": "doge", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set too... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["HuggingFaceTB/smollm-corpus"], "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["pt", "doge"]} | null | null | [
"apache-2.0"
] | [
"HuggingFaceTB/smollm-corpus"
] | [
"en"
] | 54,575,680 | null | null | [
"doge",
"AutoModelForCausalLM",
"DogeForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6822fea10e9d33f090d00694 | 672581c517642e35 | 8f79a7c5a8d80f7a | 151,666 | BPE | 151,387 | true | true | true | true | 23 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 1,013 | FractalAIResearch/Fathom-R1-14B | FractalAIResearch | {
"models": [
{
"_id": "678e14e3ccefc7605ae5d807",
"id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-14B"
}
],
"relation": "finetune"
} | 271 | 88,862 | False | 2025-05-13T08:11:13Z | 2025-06-05T11:28:36Z | transformers | 289 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"images/RL_graph.png",
"images/image.png",
"model-00001-of-00006.safetensors",
"model-00002-of-00006.safetensors",
"model-00003-of-00006.safetensors",
"model-00004-of-00006.safetensors",
"model-00005-of-00006.safetensors",
"model-00006-of-00006.safet... | 785c629b2f4a032233576f711669b5c470ab4c76 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"dataset:FractalAIResearch/Fathom-V0.4-SFT-Shortest-Chains",
"dataset:FractalAIResearch/Fathom-V0.6-Iterative-Curriculum-Learning",
"arxiv:2503.21934",
"arxiv:2502.16666",
"arxiv:2502.08226",
"base_model:deepseek-ai/Dee... | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_fi... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["deepseek-ai/DeepSeek-R1-Distill-Qwen-14B"], "datasets": ["FractalAIResearch/Fathom-V0.4-SFT-Shortest-Chains", "FractalAIResearch/Fathom-V0.6-Iterative-Curriculum-Learning"], "eval_results": null, "language": null, "library_name": "transformers", "license": "mit", "license_name": null, "license_link": n... | # 🧮 Fathom-R1-14B: $499 Training Recipe for Unlocking Math Reasoning at o4-mini level using R1-distilled-14B model under 16K context
<div align="center">
[](https://huggingface.co/collections/FractalAI... | null | [
"mit"
] | [
"FractalAIResearch/Fathom-V0.4-SFT-Shortest-Chains",
"FractalAIResearch/Fathom-V0.6-Iterative-Curriculum-Learning"
] | null | null | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6678d74c8edbae2088a60bb6 | 6e6a83dc4b556c95 | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 111 | 4yo1/llama3-eng-ko-8-llama | 4yo1 | null | 7 | 84,208 | False | 2024-06-24T02:17:48Z | 2024-07-02T09:06:49Z | transformers | 1 | 0 | null | translation | {"parameters": {"F16": 8030261248}, "total": 8030261248} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"... | e2c5c277fae6b14e4a8f6c45075f0518199d3e95 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-3-ko",
"translation",
"en",
"ko",
"dataset:4yo1/llama3_enkor_testing_short",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|e... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["4yo1/llama3_enkor_testing_short"], "eval_results": null, "language": ["en", "ko"], "library_name": "transformers", "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "translation", "tags": ["llama-3-ko"]} | ### Model Card for Model ID
### Model Details
Model Card: LLaMA3-ENG-KO-8B with Fine-Tuning
Model Overview
Model Name: LLaMA3-ENG-KO-8B
Model Type: Transformer-based Language Model
Model Size: 8 billion parameters
by: 4yo1
Languages: English and Korean
### Model Description
LLaMA3-ENG-KO-8B is a language model pr... | null | [
"mit"
] | [
"4yo1/llama3_enkor_testing_short"
] | [
"en",
"ko"
] | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"translation",
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc136468d709f17bac4 | 382b5a4eb98f0296 | d965e4a9140ecf72 | 21,128 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 33 | hfl/rbtl3 | hfl | null | 665 | 85,428 | False | 2022-03-02T23:29:05Z | 2021-05-19T19:22:46Z | transformers | 4 | 0 | null | fill-mask | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"flax_model.msgpack",
"pytorch_model.bin",
"special_tokens_map.json",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 9cad8535fa548d05b09d43bb95eef67845981908 | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"zh",
"arxiv:1906.08101",
"arxiv:2004.13922",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertForMaskedLM"], "model_type": "bert", "tokenizer_config": {}} | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["zh"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["bert"]} | # This is a re-trained 3-layer RoBERTa-wwm-ext-large model.
## Chinese BERT with Whole Word Masking
For further accelerating Chinese natural language processing, we provide **Chinese pre-trained BERT with Whole Word Masking**.
**[Pre-Training with Whole Word Masking for Chinese BERT](https://arxiv.org/abs/1906.08101... | null | [
"apache-2.0"
] | null | [
"zh"
] | null | null | null | [
"AutoModelForMaskedLM",
"bert",
"BertForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
664d431472484e774b0ff88a | 6fd72ee981da14d6 | 1dbd56bba92f6891 | 128,258 | BPE | 280,147 | false | true | true | true | 258 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 821 | dphn/dolphin-2.9.1-llama-3-70b | dphn | {
"models": [
{
"_id": "661f95a2c658c6f9ca862ed9",
"id": "meta-llama/Meta-Llama-3-70B"
}
],
"relation": "finetune"
} | 8,781 | 125,857 | False | 2024-05-22T00:57:56Z | 2024-06-14T14:17:43Z | transformers | 57 | 0 | [{"name": "out", "results": []}] | text-generation | {"parameters": {"BF16": 70553739264}, "total": 70553739264} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00030.safetensors",
"model-00002-of-00030.safetensors",
"model-00003-of-00030.safetensors",
"model-00004-of-00030.safetensors",
"model-00005-of-00030.safetensors",
"model-00006-of-00030.safetensors",
"model-0... | 31adf616c3c9176d147e0a62e9fedb7bf97678ac | [
"transformers",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"axolotl",
"conversational",
"dataset:cognitivecomputations/Dolphin-2.9",
"dataset:teknium/OpenHermes-2.5",
"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"dataset:cognitivecomputations/dolphin-coder",
"da... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "meta-llama/Meta-Llama-3-70B", "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "microsoft/orca-math-word-problems-200k", "Locutusque/function-calling-chatml... | null | null | [
"llama3"
] | [
"cognitivecomputations/Dolphin-2.9",
"teknium/OpenHermes-2.5",
"m-a-p/CodeFeedback-Filtered-Instruction",
"cognitivecomputations/dolphin-coder",
"cognitivecomputations/samantha-data",
"microsoft/orca-math-word-problems-200k",
"Locutusque/function-calling-chatml",
"internlm/Agent-FLAN"
] | null | 70,553,739,264 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
659c23e3cae577864a48bc77 | 5e41919eba1231ff | 1a7fc436c6cafc1d | 64,002 | BPE | 110,029 | true | false | true | true | 5 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 1,014 | brucethemoose/Yi-34B-200K-DARE-merge-v7 | brucethemoose | null | 7,967 | 122,287 | False | 2024-01-08T16:33:39Z | 2024-03-11T20:05:50Z | transformers | 6 | 0 | [{"name": "Yi-34B-200K-DARE-merge-v7", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config": "ARC-Challenge", "split": "test", "args": {"num_few_shot": 25}}, "metrics": [{"type": "acc_norm", "value": 68.09, "nam... | text-generation | {"parameters": {"BF16": 34388945920}, "total": 34388945920} | [
".gitattributes",
"README.md",
"config.json",
"mergekit_config.yml",
"model-00001-of-00007.safetensors",
"model-00002-of-00007.safetensors",
"model-00003-of-00007.safetensors",
"model-00004-of-00007.safetensors",
"model-00005-of-00007.safetensors",
"model-00006-of-00007.safetensors",
"model-0000... | 9458ceab3dcf6b392f6b0ee6d01df40b6fc13a45 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"mergekit",
"merge",
"Yi",
"en",
"arxiv:2311.03099",
"arxiv:2306.01708",
"license:other",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|startoftext|>", "eos_token": "<|endoftext|>", "pad_token": "<unk>", "unk_token": "<unk>", "use_default_system_prompt": false}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": [], "language": ["en"], "library_name": "transformers", "license": "other", "license_name": "yi-license", "license_link": "https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE", "tags": ["mergekit", "merge", "Yi"], "model-index": [{"name": "Yi-34B-200K-DARE-merge-v7", "results": [{"task": {"type": "text... | # Possibly made obsolete by: https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-megamerge-v8
# Yi 34B 200K DARE Merge v7
A merge of several Yi 34B 200K models using the new DARE Ties method via mergekit. The goal is to create a merge model that excels at 32K+ context performance.
## Prompt template: Orca-Vicun... | null | [
"other",
"yi-license",
"https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE"
] | null | [
"en"
] | 34,388,945,920 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
64eb8a892800cf7e9cb2541b | 86c3518498e95334 | ade5e378ce727196 | 32,001 | BPE | 61,249 | true | false | true | true | 4 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 591 | TheBloke/WizardCoder-Python-13B-V1.0-GPTQ | TheBloke | {
"models": [
{
"_id": "64e986b6f6d7c8bdfb793ad8",
"id": "WizardLMTeam/WizardCoder-Python-13B-V1.0"
}
],
"relation": "quantized"
} | 37 | 84,228 | False | 2023-08-27T17:40:25Z | 2023-09-27T12:46:30Z | transformers | 76 | 0 | [{"name": "WizardCoder-Python-13B-V1.0", "results": [{"task": {"type": "text-generation"}, "dataset": {"name": "HumanEval", "type": "openai_humaneval"}, "metrics": [{"type": "pass@1", "value": 0.64, "name": "pass@1", "verified": false}]}]}] | text-generation | {"parameters": {"I32": 12687769600, "F16": 330234880}, "total": 13018004480} | [
".gitattributes",
"LICENSE.txt",
"Notice",
"README.md",
"USE_POLICY.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"model.safetensors",
"quantize_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | f08ee3a77f87a20bdf4921a21e38381db99c5674 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"code",
"arxiv:2304.12244",
"arxiv:2306.08568",
"arxiv:2308.09583",
"arxiv:2303.08774",
"base_model:WizardLMTeam/WizardCoder-Python-13B-V1.0",
"base_model:quantized:WizardLMTeam/WizardCoder-Python-13B-V1.0",
"license:llama2",
"model-... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"bits": 4, "quant_method": "gptq"}, "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<s>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "cont... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "WizardLM/WizardCoder-Python-13B-V1.0", "library_name": "transformers", "license": "llama2", "metrics": ["code_eval"], "tags": ["code"], "inference": false, "model_creator": "WizardLM", "model_type": "llama", "prompt_template": "Below is an instruction that describes a task. Write a response that appropr... | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<d... | null | [
"llama2"
] | null | null | 13,018,004,480 | null | [
"code_eval"
] | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
64583f135fc3b8a21ea9262e | d58697367cf86b5c | 84fb34b2e1636fc5 | 30,527 | WordPiece | null | true | true | true | true | 6 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 1,015 | uclanlp/keyphrase-mpnet-v1 | uclanlp | null | 6,401 | 113,202 | False | 2023-05-08T00:15:15Z | 2025-03-05T22:40:32Z | sentence-transformers | 2 | 0 | null | sentence-similarity | null | [
".gitattributes",
"1_Pooling/config.json",
"README.md",
"config.json",
"config_sentence_transformers.json",
"modules.json",
"pytorch_model.bin",
"sentence_bert_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 9055f342ca3da1c71d0fe316627d9e74884200d7 | [
"sentence-transformers",
"pytorch",
"mpnet",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:2303.15422",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["MPNetModel"], "model_type": "mpnet", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "sentence-similarity", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "tr... | # keyphrase-mpnet-v1
This is a [sentence-transformers](https://www.SBERT.net) model specialized for phrases: It maps phrases to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search. In the original paper, this model is used for calculating semantic-based evaluation metrics ... | null | null | null | null | null | null | null | [
"MPNetModel",
"AutoModel",
"mpnet"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
67c56643929c8cad05178f40 | 848b60b6cd304b65 | ffc911e785abe60e | 151,665 | BPE | 151,387 | true | true | true | true | 22 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 15 | mixedbread-ai/mxbai-rerank-base-v2 | mixedbread-ai | null | 115,225 | 258,669 | False | 2025-03-03T08:20:19Z | 2025-08-20T05:12:54Z | transformers | 60 | 0 | null | text-ranking | null | [
".gitattributes",
"LICENSE",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 3334116c32105657feed9b0a733f451c012ee61a | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"text-ranking",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"ff",
"fi",
"fr",
"fy",
"ga",
"gd",
"gl",
... | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Aliba... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["af", "am", "ar", "as", "az", "be", "bg", "bn", "br", "bs", "ca", "cs", "cy", "da", "de", "el", "en", "eo", "es", "et", "eu", "fa", "ff", "fi", "fr", "fy", "ga", "gd", "gl", "gn", "gu", "ha", "he", "hi", "hr", "ht", "hu", "hy", "id", "ig", "is", ... | <br><br>
<p align="center">
<svg xmlns="http://www.w3.org/2000/svg" xml:space="preserve" viewBox="0 0 2020 1130" width="150" height="150" aria-hidden="true"><path fill="#e95a0f" d="M398.167 621.992c-1.387-20.362-4.092-40.739-3.851-61.081.355-30.085 6.873-59.139 21.253-85.976 10.487-19.573 24.09-36.822 40.662-51.515 16... | null | [
"apache-2.0"
] | null | [
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"ff",
"fi",
"fr",
"fy",
"ga",
"gd",
"gl",
"gn",
"gu",
"ha",
"he",
"hi",
"hr",
"ht",
"hu",
"hy",
"id",
"ig"... | null | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-ranking",
"text-generation"
] | [
"text"
] | [
"text"
] | [
"logits",
"text"
] |
672f592b9c230081b8fa6f79 | 848b60b6cd304b65 | ffc911e785abe60e | 151,665 | BPE | 151,387 | true | true | true | true | 22 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 15 | Qwen/Qwen2.5-Coder-32B-Instruct-GPTQ-Int8 | Qwen | {
"models": [
{
"_id": "672b1f9e956e6880fdb8c1e5",
"id": "Qwen/Qwen2.5-Coder-32B-Instruct"
}
],
"relation": "quantized"
} | 873 | 87,131 | False | 2024-11-09T12:44:27Z | 2024-11-18T12:55:16Z | transformers | 21 | 0 | null | text-generation | {"parameters": {"I32": 31205621760, "F16": 1558254592}, "total": 32763876352} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00009.safetensors",
"model-00002-of-00009.safetensors",
"model-00003-of-00009.safetensors",
"model-00004-of-00009.safetensors",
"model-00005-of-00009.safetensors",
"model-00006-of-0... | 5772063af4a0219bcae4f1401b0ee5da989014ce | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"code",
"codeqwen",
"chat",
"qwen",
"qwen-coder",
"conversational",
"en",
"arxiv:2409.12186",
"arxiv:2309.00071",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-Coder-32B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-Coder-32B-In... | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "quantization_config": {"bits": 8, "quant_method": "gptq"}, "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["Qwen/Qwen2.5-Coder-32B-Instruct"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct/blob/main/LICENSE", "metrics": null, "model_name": null, ... | # Qwen2.5-Coder-32B-Instruct-GPTQ-Int8
## Introduction
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 billion parameters, to meet the needs of different developers. Qwe... | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct/blob/main/LICENSE"
] | null | [
"en"
] | 32,763,876,352 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
661c68585d7ae9f8689fdb21 | 41a000f2f9024404 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 13 | lytang/MiniCheck-RoBERTa-Large | lytang | null | 2,175 | 95,330 | False | 2024-04-14T23:35:52Z | 2024-09-22T16:14:02Z | transformers | 5 | 0 | null | text-classification | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"cost-vs-bacc.png",
"merges.txt",
"performance_focused.png",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 74c8919647e61ed0f71bc177d94f10930f090068 | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"en",
"arxiv:2404.10774",
"license:mit",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForSequenceClassification"], "model_type": "roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-classification", "tags": null} | # MiniCheck-RoBERTa-Large
[](https://colab.research.google.com/drive/1s-5TYnGV3kGFMLp798r5N-FXPD8lt2dm?usp=sharing)
This is a fact-checking model from our work:
📃 [**MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents**](https://arxiv.o... | null | [
"mit"
] | null | [
"en"
] | null | null | null | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
661ff7c250fab5fc3159aa9c | 88cd37e502d27a0a | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 88 | GritLM/GritLM-8x7B-KTO | GritLM | null | 8,396 | 124,907 | False | 2024-04-17T16:24:34Z | 2024-06-14T13:52:15Z | transformers | 3 | 0 | null | text-generation | {"parameters": {"BF16": 46702792704}, "total": 46702792704} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00019.safetensors",
"model-00002-of-00019.safetensors",
"model-00003-of-00019.safetensors",
"model-00004-of-00019.safetensors",
"model-00005-of-00019.safetensors",
"model-00006-of-00019.safetensors",
"model-0... | 938913477064fcc498757c5136d9899bb6e713ed | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"conversational",
"custom_code",
"dataset:GritLM/tulu2",
"arxiv:2402.01306",
"arxiv:2402.09906",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["MixtralForCausalLM"], "auto_map": {"AutoModel": "GritLM/GritLM-8x7B--modeling_gritlm8x7b.MixtralModel", "AutoModelForCausalLM": "GritLM/GritLM-8x7B--modeling_gritlm8x7b.MixtralForCausalLM", "AutoModelForSequenceClassification": "GritLM/GritLM-8x7B--modeling_gritlm8x7b.MixtralForSequenceClassificatio... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["GritLM/tulu2"], "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": null, "inference": true} | # Model Summary
A [**KTO**](https://arxiv.org/abs/2402.01306) version of https://huggingface.co/GritLM/GritLM-8x7B
> GritLM is a generative representational instruction tuned language model. It unifies text representation (embedding) and text generation into a single model achieving state-of-the-art performance on bo... | null | [
"apache-2.0"
] | [
"GritLM/tulu2"
] | null | 46,702,792,704 | null | null | [
"mixtral",
"MixtralForCausalLM",
"AutoModelForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6606e0f10be1fbe3b9fb8cec | f4a32640a2a642e8 | 3f5617f282b50422 | 30,521 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 1,016 | crypter70/IndoBERT-Sentiment-Analysis | crypter70 | {
"models": [
{
"_id": "621ffdc136468d709f17c83f",
"id": "indobenchmark/indobert-base-p1"
}
],
"relation": "finetune"
} | 439 | 85,553 | False | 2024-03-29T15:40:33Z | 2024-03-29T20:23:57Z | transformers | 2 | 0 | [{"name": "IndoBERT-Sentiment-Analysis", "results": [{"task": {"name": "Text Classification", "type": "text-classification"}, "dataset": {"name": "indonlu", "type": "indonlu", "config": "smsa", "split": "validation", "args": "smsa"}, "metrics": [{"name": "Accuracy", "type": "accuracy", "value": 0.9452380952380952, "ver... | text-classification | {"parameters": {"F32": 124443651}, "total": 124443651} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.txt"
] | e4f806186f3e4adebe369bef85b328bc3c819eb2 | [
"transformers",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"id",
"en",
"dataset:indonlu",
"base_model:indobenchmark/indobert-base-p1",
"base_model:finetune:indobenchmark/indobert-base-p1",
"license:mit",
"model-index",
"text-embeddings-inference",
"endpoints_co... | null | {"architectures": ["BertForSequenceClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": "indobenchmark/indobert-base-p1", "datasets": ["indonlu"], "language": ["id", "en"], "license": "mit", "metrics": ["accuracy"], "tags": ["generated_from_trainer"], "widget": [{"text": "Doi asik bgt orangnya"}, {"example_title": "Example 1"}, {"text": "Ada pengumuman nih gaiss, besok liburr"}, {"example_t... | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# IndoBERT-Sentiment-Analysis
This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indoben... | null | [
"mit"
] | [
"indonlu"
] | [
"id",
"en"
] | 124,443,651 | null | [
"accuracy"
] | [
"BertForSequenceClassification",
"bert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
644c233f194e124dacbc8462 | dab37a375cc83085 | ade5e378ce727196 | 32,001 | BPE | 61,249 | true | false | true | true | 4 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 197 | TheBloke/stable-vicuna-13B-HF | TheBloke | null | 841 | 91,795 | False | 2023-04-28T19:49:19Z | 2023-06-05T00:09:56Z | transformers | 96 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"pytorch_model-00001-of-00003.bin",
"pytorch_model-00002-of-00003.bin",
"pytorch_model-00003-of-00003.bin",
"pytorch_model.bin.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model... | 2b099b2be0dafb2606ae9808c0f6183fe4bff7bc | [
"transformers",
"pytorch",
"llama",
"text-generation",
"causal-lm",
"en",
"dataset:OpenAssistant/oasst1",
"dataset:nomic-ai/gpt4all_prompt_generations",
"dataset:tatsu-lab/alpaca",
"arxiv:2302.13971",
"license:cc-by-nc-sa-4.0",
"text-generation-inference",
"endpoints_compatible",
"region:u... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<s>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "</s>", "lstrip": false, "normalized": true, "rstrip":... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["OpenAssistant/oasst1", "nomic-ai/gpt4all_prompt_generations", "tatsu-lab/alpaca"], "eval_results": null, "language": ["en"], "library_name": null, "license": "cc-by-nc-sa-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags... | <!-- header start -->
<div style="width: 100%;">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<div style="display: flex; flex-direction: column; a... | null | [
"cc-by-nc-sa-4.0"
] | [
"OpenAssistant/oasst1",
"nomic-ai/gpt4all_prompt_generations",
"tatsu-lab/alpaca"
] | [
"en"
] | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65c2170e55c4f06fa98645ff | d49b8fd5deacd284 | 3aba7be11585fdda | 122,753 | BPE | 171,540 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 220 | openbmb/MiniCPM-2B-dpo-bf16-llama-format | openbmb | null | 208 | 84,340 | False | 2024-02-06T11:25:02Z | 2024-09-07T05:35:30Z | transformers | 12 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00003.safetensors",
"model-00002-of-00003.safetensors",
"model-00003-of-00003.safetensors",
"model.safetensors.index.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model... | 526622dd5cc6753560519a9fa1de61fcc4ef4f06 | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"MiniCPM",
"ModelBest",
"THUNLP",
"conversational",
"en",
"zh",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": null, "unk_token": "<unk>", "use_default_system_prompt": false, "chat_template": "{% for message in messages %}{% if message['role'] == 'user' %}{{'<\u7528\u6237>' + message['content... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en", "zh"], "library_name": null, "license": "other", "license_name": "gml", "license_link": "https://github.com/OpenBMB/General-Model-License/blob/main/%E9%80%9A%E7%94%A8%E6%A8%A1%E5%9E%8B%E8%AE%B8%E5%8F%AF%E5%8D%8F%E8%AE%AE-%E6%9D%A5%E6%BA%90%... | <div align="center">
<h1>
MiniCPM
</h1>
</div>
<p align="center">
<a href="https://shengdinghu.notion.site/MiniCPM-c805a17c5c8046398914e47f0542095a?pvs=4" target="_blank">MiniCPM 技术报告</a><a href="https://shengdinghu.notion.site/MiniCPM-Unveiling-the-Potential-of-End-side-Large-Language-Models-d4d3a8c426424654a4e80e4... | null | [
"other",
"gml",
"https://github.com/OpenBMB/General-Model-License/blob/main/%E9%80%9A%E7%94%A8%E6%A8%A1%E5%9E%8B%E8%AE%B8%E5%8F%AF%E5%8D%8F%E8%AE%AE-%E6%9D%A5%E6%BA%90%E8%AF%B4%E6%98%8E-%E5%AE%A3%E4%BC%A0%E9%99%90%E5%88%B6-%E5%95%86%E4%B8%9A%E6%8E%88%E6%9D%83.md"
] | null | [
"en",
"zh"
] | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66366a5496d319c9864d5c6a | d2c12b300476c042 | 71902f73ac381369 | 105,879 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 626 | Wilsen/fine-tuned-bert-base-multilingual-uncased-sentiment-customer-reviews-on-banks | Wilsen | null | 1 | 46 | False | 2024-05-04T17:03:16Z | 2024-05-18T05:37:12Z | transformers | 1 | 0 | null | text-classification | {"parameters": {"F32": 167360261}, "total": 167360261} | [
".gitattributes",
"README.md",
"checkpoint-1728-20240518T050248Z-001.zip",
"config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.txt"
] | 8adc6d47d0dc78a805e8f021bba64e9e2cace854 | [
"transformers",
"safetensors",
"bert",
"text-classification",
"en",
"doi:10.57967/hf/2346",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForSequenceClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | ### Model Description
This model is a finetuning model of the bert-base-multilingual-uncased-sentiment model to predict sentiment on the customer reviews on banks dataset in numbers of stars between 0 and 4
**Developed by:** Wilsen Vesakha Lymantama
### Dataset source
https://huggingface.co/datasets/TrainingDataPro... | null | null | null | [
"en"
] | 167,360,261 | null | null | [
"BertForSequenceClassification",
"bert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6888b080a7123dc82b281edd | 7428ef9ae5ef868f | 67da9c236fa81925 | 151,669 | BPE | 151,387 | true | true | true | true | 26 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 47 | Qwen/Qwen3-30B-A3B-Thinking-2507-FP8 | Qwen | {
"models": [
{
"_id": "6888aae7c54baad7997d7b4b",
"id": "Qwen/Qwen3-30B-A3B-Thinking-2507"
}
],
"relation": "quantized"
} | 27,676 | 288,074 | False | 2025-07-29T11:29:04Z | 2025-07-30T16:02:13Z | transformers | 63 | 0 | null | text-generation | null | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"tokenizer.json",
"... | 60d80c83c53c3b611c642dbb8c942b3f90c5948a | [
"transformers",
"safetensors",
"qwen3_moe",
"text-generation",
"conversational",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-30B-A3B-Thinking-2507",
"base_model:quantized:Qwen/Qwen3-30B-A3B-Thinking-2507",
"license:apache-2.0",
"endpoints_compatible",
"fp8",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen3MoeForCausalLM"], "model_type": "qwen3_moe", "quantization_config": {"quant_method": "fp8"}, "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["Qwen/Qwen3-30B-A3B-Thinking-2507"], "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen3-30B-A3B-Thinking-2507-FP8/blob/main/LICENSE", "metrics": null, "model_name": nu... | null | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen3-30B-A3B-Thinking-2507-FP8/blob/main/LICENSE"
] | null | null | null | null | null | [
"qwen3_moe",
"AutoModelForCausalLM",
"Qwen3MoeForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
655b4480727df37c77b4ccb7 | 7573ff43c7304560 | 013e90dbff8a972e | 31,980 | BPE | 31,843 | true | true | false | true | 8 | NFKC | Metaspace | Metaspace | [
"NFKC"
] | [
"Metaspace"
] | [
"Metaspace"
] | 575 | Azurro/APT3-275M-Base | Azurro | null | 2,598 | 88,982 | False | 2023-11-20T11:35:28Z | 2024-09-30T12:13:41Z | transformers | 2 | 0 | null | text-generation | {"parameters": {"F32": 275663616}, "total": 275663616} | [
".gitattributes",
"README.md",
"allamo_config_ckpt.pt",
"allamo_model_ckpt.pt",
"allamo_optimizer_ckpt.pt",
"apt3-275m-base.png",
"config.json",
"generation_config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | b6e65736ee2ac5f3b3e51e6b8b3d931d5ee90d96 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"ALLaMo",
"pl",
"dataset:chrisociepa/wikipedia-pl-20230401",
"license:cc-by-nc-4.0",
"text-generation-inference",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["chrisociepa/wikipedia-pl-20230401"], "eval_results": null, "language": ["pl"], "library_name": "transformers", "license": "cc-by-nc-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["llama", "ALLaMo"], "inference": fa... | # APT3-275M-Base
## Introduction
At [Azurro](https://azurro.pl), we consistently place importance on using the Open Source technologies, both while working on the projects and in our everyday lives. We have decided to share a base language model trained by us. We are confident that smaller language models have great ... | null | [
"cc-by-nc-4.0"
] | [
"chrisociepa/wikipedia-pl-20230401"
] | [
"pl"
] | 275,663,616 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66eac7b89d5c385fb0fc0680 | e2c43495aed6e9fb | e6ffdc5dd5f1fd86 | 256,000 | BPE | 580,604 | true | false | true | true | 217 | Replace | null | Sequence | [
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse"
] | 106 | AIDC-AI/Ovis1.6-Gemma2-9B | AIDC-AI | null | 33,608 | 168,434 | False | 2024-09-18T12:29:44Z | 2025-08-15T15:19:36Z | transformers | 273 | 0 | null | image-text-to-text | null | [
".gitattributes",
"NOTICE",
"README.md",
"config.json",
"configuration_ovis.py",
"generation_config.json",
"model-00001-of-00005.safetensors",
"model-00002-of-00005.safetensors",
"model-00003-of-00005.safetensors",
"model-00004-of-00005.safetensors",
"model-00005-of-00005.safetensors",
"model.... | 12bef7aa20342acad19134979ba275b49ead2523 | [
"transformers",
"safetensors",
"ovis",
"text-generation",
"MLLM",
"image-text-to-text",
"conversational",
"custom_code",
"en",
"dataset:AIDC-AI/Ovis-dataset",
"arxiv:2405.20797",
"license:apache-2.0",
"region:us"
] | null | {"architectures": ["Ovis"], "auto_map": {"AutoConfig": "configuration_ovis.OvisConfig", "AutoModelForCausalLM": "modeling_ovis.Ovis"}, "model_type": "ovis", "tokenizer_config": {"bos_token": "<bos>", "chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported')... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "modeling_ovis.Ovis",
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": null, "datasets": ["AIDC-AI/Ovis-dataset"], "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": ["MLLM"]} | # Ovis1.6-Gemma2-9B
<div align="center">
<img src=https://cdn-uploads.huggingface.co/production/uploads/637aebed7ce76c3b834cea37/3IK823BZ8w-mz_QfeYkDn.png width="30%"/>
</div>
<span style="color: #ED7D31; font-size: 22px;">It is recommended to use the latest version: [Ovis2.5](https://huggingface.co/collections/AIDC... | null | [
"apache-2.0"
] | [
"AIDC-AI/Ovis-dataset"
] | [
"en"
] | null | null | null | [
"ovis",
"AutoModelForCausalLM",
"modeling_ovis.Ovis",
"Ovis"
] | [
"image-text-to-text",
"text-generation"
] | [
"text",
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
663874450c9bde9a3fd963e4 | 3f287b04362fff24 | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 158 | typhoon-ai/llama-3-typhoon-v1.5-8b | typhoon-ai | null | 8,029 | 123,157 | False | 2024-05-06T06:10:13Z | 2025-03-31T10:47:10Z | transformers | 9 | 0 | null | text-generation | {"parameters": {"BF16": 8030261248}, "total": 8030261248} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokeniz... | c341c4a2b748336a53fa398ac566ec94374ad30a | [
"transformers",
"safetensors",
"llama",
"text-generation",
"pretrained",
"conversational",
"th",
"en",
"arxiv:2312.13951",
"license:llama3",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|e... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["th", "en"], "library_name": null, "license": "llama3", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["pretrained"]} | null | null | [
"llama3"
] | null | [
"th",
"en"
] | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
63140439c093ff968e0f2adc | ddacdaddb2d34550 | 0602b91d20d6a709 | 51,200 | BPE | 42,185 | true | true | false | true | 375 | Sequence | Sequence | Metaspace | [
"NFKC",
"BertNormalizer"
] | [
"Metaspace"
] | [
"Metaspace"
] | 187 | circulus/kovit-caption-v1 | circulus | null | 4 | 83,461 | False | 2022-09-04T01:49:45Z | 2022-09-04T02:25:06Z | transformers | 0 | 0 | null | image-text-to-text | null | [
".gitattributes",
"config.json",
"preprocessor_config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | e71faf9bb0a8810909ca6a5356943ef31ba989a8 | [
"transformers",
"pytorch",
"vision-encoder-decoder",
"image-text-to-text",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["VisionEncoderDecoderModel"], "model_type": "vision-encoder-decoder", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"AutoModelForImageTextToText",
"vision-encoder-decoder",
"VisionEncoderDecoderModel"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
6897fb74fbdb3aa762dd8215 | 7428ef9ae5ef868f | 67da9c236fa81925 | 151,669 | BPE | 151,387 | true | true | true | true | 26 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 47 | xihc-ucb/Qwen3-0.6B-train-Quasar-0809 | xihc-ucb | null | 12 | 83,427 | False | 2025-08-10T01:52:52Z | 2025-08-20T01:49:32Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"BF16": 596049920}, "total": 596049920} | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.jinja",
"config.json",
"configuration_fp8_qwen3.py",
"generation_config.json",
"merges.txt",
"model.safetensors",
"modeling_fp8_qwen3.py",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 44a524be0dc7ae404e82e34483be4c7b8a655d67 | [
"transformers",
"safetensors",
"fp8_qwen3",
"text-generation",
"conversational",
"custom_code",
"arxiv:1910.09700",
"region:us"
] | null | {"architectures": ["FP8Qwen3ForCausalLM"], "auto_map": {"AutoConfig": "configuration_fp8_qwen3.FP8Qwen3Config", "AutoModel": "modeling_fp8_qwen3.FP8Qwen3Model", "AutoModelForCausalLM": "modeling_fp8_qwen3.FP8Qwen3ForCausalLM", "AutoModelForQuestionAnswering": "modeling_fp8_qwen3.FP8Qwen3ForQuestionAnswering", "AutoMode... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "modeling_fp8_qwen3.FP8Qwen3ForCausalLM",
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": []} | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated... | null | null | null | null | 596,049,920 | null | null | [
"AutoModelForCausalLM",
"FP8Qwen3ForCausalLM",
"fp8_qwen3",
"modeling_fp8_qwen3.FP8Qwen3ForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
685d6a8d0952c34471e00748 | e7adbf9f9090315b | 9a5b3c15caa98e84 | 262,400 | BPE | 514,906 | true | true | true | true | 6,670 | Replace | Split | Sequence | [
"Replace"
] | [
"Split"
] | [
"Replace",
"ByteFallback",
"Fuse"
] | 342 | unsloth/gemma-3n-E2B-it-unsloth-bnb-4bit | unsloth | {
"models": [
{
"_id": "684b11e729c32c69e56d1db9",
"id": "google/gemma-3n-E2B-it"
}
],
"relation": "quantized"
} | 4,055 | 101,722 | False | 2025-06-26T15:43:09Z | 2025-07-11T04:26:26Z | transformers | 9 | 0 | null | image-text-to-text | {"parameters": {"F32": 195632, "BF16": 3575594432, "U8": 1922191478}, "total": 5439438272} | [
".gitattributes",
"README.md",
"chat_template.jinja",
"config.json",
"generation_config.json",
"model-00001-of-00003.safetensors",
"model-00002-of-00003.safetensors",
"model-00003-of-00003.safetensors",
"model.safetensors.index.json",
"preprocessor_config.json",
"processor_config.json",
"speci... | 3d26ffdd2276698f582562bf01511aa625bc6f30 | [
"transformers",
"safetensors",
"gemma3n",
"image-text-to-text",
"gemma3",
"unsloth",
"gemma",
"google",
"conversational",
"en",
"arxiv:1905.07830",
"arxiv:1905.10044",
"arxiv:1911.11641",
"arxiv:1904.09728",
"arxiv:1705.03551",
"arxiv:1911.01547",
"arxiv:1907.10641",
"arxiv:1903.00... | null | {"architectures": ["Gemma3nForConditionalGeneration"], "model_type": "gemma3n", "quantization_config": {"load_in_4bit": true, "load_in_8bit": false, "quant_method": "bitsandbytes"}, "tokenizer_config": {"bos_token": "<bos>", "eos_token": "<end_of_turn>", "pad_token": "<pad>", "unk_token": "<unk>", "use_default_system_p... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": "google/gemma-3n-E2B-it", "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "gemma", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": ["gemma3", "unsloth", "transformers", "g... | null | null | [
"gemma"
] | null | [
"en"
] | 5,439,438,272 | null | null | [
"AutoModelForImageTextToText",
"gemma3n",
"Gemma3nForConditionalGeneration"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
66693e582dccbaa8c3921daf | 2254bee6185a0801 | c1324bba18ff21b8 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 1,017 | OpenBuddy/openbuddy-llama3-70b-v21.2-32k | OpenBuddy | null | 8,418 | 124,301 | False | 2024-06-12T06:21:12Z | 2024-10-16T09:03:39Z | transformers | 2 | 0 | [{"name": "openbuddy-llama3-70b-v21.2-32k", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "IFEval (0-Shot)", "type": "HuggingFaceH4/ifeval", "args": {"num_few_shot": 0}}, "metrics": [{"type": "inst_level_strict_acc and prompt_level_strict_acc", "value": 70.1, "name": "... | text-generation | {"parameters": {"BF16": 70553706496}, "total": 70553706496} | [
".gitattributes",
"Evaluation.txt",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00030.safetensors",
"model-00002-of-00030.safetensors",
"model-00003-of-00030.safetensors",
"model-00004-of-00030.safetensors",
"model-00005-of-00030.safetensors",
"model-00006-of-00030.safe... | a4552b09f1b34142087defbb1f7ae2d6698b65d4 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-3",
"conversational",
"zh",
"en",
"fr",
"de",
"ja",
"ko",
"it",
"fi",
"license:other",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% for message in messages %}{{'<|role|>' + message['role'] + '<|says|>' + message['content'] + '<|end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|role|>assistant<|says|... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"language": ["zh", "en", "fr", "de", "ja", "ko", "it", "fi"], "license": "other", "license_name": "llama3", "license_link": "https://llama.meta.com/llama3/license/", "pipeline_tag": "text-generation", "tags": ["llama-3"], "model-index": [{"name": "openbuddy-llama3-70b-v21.2-32k", "results": [{"task": {"type": "text-ge... | # OpenBuddy - Open Multilingual Chatbot
GitHub and Usage Guide: [https://github.com/OpenBuddy/OpenBuddy](https://github.com/OpenBuddy/OpenBuddy)
Website and Demo: [https://openbuddy.ai](https://openbuddy.ai)
Evaluation result of this model: [Evaluation.txt](Evaluation.txt)
![Demo](https://raw.githubusercontent.com... | null | [
"other",
"llama3",
"https://llama.meta.com/llama3/license/"
] | null | [
"zh",
"en",
"fr",
"de",
"ja",
"ko",
"it",
"fi"
] | 70,553,706,496 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67164b514dd96ad5eaf6f05b | 848b60b6cd304b65 | ffc911e785abe60e | 151,665 | BPE | 151,387 | true | true | true | true | 22 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 15 | Infermatic/magnum-v4-72b-FP8-Dynamic | Infermatic | null | 152 | 85,105 | False | 2024-10-21T12:38:41Z | 2024-10-21T13:20:12Z | transformers | 6 | 0 | null | text-generation | {"parameters": {"BF16": 2493554688, "F8_E4M3": 70212648960}, "total": 72706203648} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00016.safetensors",
"model-00002-of-00016.safetensors",
"model-00003-of-00016.safetensors",
"model-00004-of-00016.safetensors",
"model-00005-of-00016.safetensors",
"model-... | ad50c6902010adb1d2cfa9447d5cc8fded7f6150 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"fp8",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "quantization_config": {"quant_method": "fp8"}, "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["chat"]} | ### This quant was made for [infermatic.ai](https://infermatic.ai/)
### Dynamic FP8 quant of [anthracite-org/magnum-v4-72b](https://huggingface.co/anthracite-org/magnum-v4-72b) made with AutoFP8.
T... | null | [
"apache-2.0"
] | null | [
"en"
] | 72,706,203,648 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65436ce9899592bf119d380a | a8494991189ef0b1 | 0e4a6f76168da02d | 57,226 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 1,018 | Seznam/simcse-dist-mpnet-czeng-cs-en | Seznam | null | 97 | 83,576 | False | 2023-11-02T09:33:29Z | 2024-10-18T17:12:12Z | transformers | 3 | 0 | null | sentence-similarity | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 49248760f28d1ba048c6c7cbff0b54326ecef6a0 | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"cs",
"en",
"arxiv:2104.08821",
"license:cc-by-nc-sa-4.0",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertModel"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["cs", "en"], "library_name": null, "license": "cc-by-nc-sa-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "sentence-similarity", "tags": null} | ## SimCSE
SimCSE-Dist-MPNet-CzEng is the [Seznam/Seznam/dist-mpnet-czeng-cs-en](https://huggingface.co/Seznam/dist-mpnet-czeng-cs-en) model fine-tuned with the [SimCSE](https://arxiv.org/abs/2104.08821) objective.
This model was created at Seznam.cz as part of a project to create high-quality small Czech semantic emb... | null | [
"cc-by-nc-sa-4.0"
] | null | [
"cs",
"en"
] | null | null | null | [
"BertModel",
"AutoModel",
"bert"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
64bdceeb565b827f7eba0c05 | d5228d5f2e1c944b | 2f8d5857ae5fa330 | 50,277 | BPE | 50,009 | true | true | true | true | 25 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 1,019 | lamini/lamini_docs_finetuned | lamini | null | 1,136 | 87,257 | False | 2023-07-24T01:07:55Z | 2024-02-29T07:13:15Z | transformers | 9 | 0 | null | text-generation | {"parameters": {"F32": 70426672}, "total": 70426672} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model.safetensors",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin"
] | 7fb0b3eb43736cfd3db4a8baaf43ae73ec93f922 | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPTNeoXForCausalLM"], "model_type": "gpt_neox", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | This model was finetuned on EleutherAI/pythia-70m. The dataset used was lamini documents in the form of Q/A which tell more about how to use the platform. This is a sample task. | null | [
"apache-2.0"
] | null | null | 70,426,672 | null | null | [
"gpt_neox",
"AutoModelForCausalLM",
"GPTNeoXForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
64e2485ae422a5091f1879cc | e23b6bdbe047bb7e | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 46 | czurita/nsql-llama-2-7B-sharded-bf16-2GB | czurita | null | 17 | 83,046 | False | 2023-08-20T17:07:38Z | 2023-08-20T17:28:23Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"BF16": 6738415616}, "total": 6738415616} | [
".gitattributes",
"README.md",
"config.json",
"model-00001-of-00007.safetensors",
"model-00002-of-00007.safetensors",
"model-00003-of-00007.safetensors",
"model-00004-of-00007.safetensors",
"model-00005-of-00007.safetensors",
"model-00006-of-00007.safetensors",
"model-00007-of-00007.safetensors",
... | 68fc01c03d8c641f8e8389583a7e1b79be92e770 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:llama2",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<s>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "</s>", "lstrip": false, "normalized": false, "rstrip... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "llama2", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null, "inference": {"parameters": {"do_sample": false, "max_length": 200}}, "widget": [... | Resharded version of https://huggingface.co/NumbersStation/nsql-llama-2-7B for low RAM enviroments (e.g. Colab, Kaggle) in safetensors.
---
# NSQL-Llama-2-7B
## Model Description
NSQL is a family of autoregressive open-source large foundation models (FMs) designed specifically for SQL generation tasks.
In this rep... | null | [
"llama2"
] | null | null | 6,738,415,616 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66f175131a2b32f80503f9a7 | af8f34566d80cb0d | 478e8ebb5343b763 | 99,574 | Unigram | null | true | false | true | true | 8 | Sequence | null | Sequence | [
"Replace",
"Replace"
] | null | [
"ByteFallback",
"Replace",
"Fuse",
"Replace"
] | 583 | llm-jp/llm-jp-3-1.8b-instruct | llm-jp | null | 1,833 | 88,598 | False | 2024-09-23T14:02:59Z | 2024-09-26T18:20:47Z | transformers | 25 | 0 | null | text-generation | {"parameters": {"BF16": 1867614208}, "total": 1867614208} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 413b7929df092690b0f9449f3045baaf8deba0a5 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"en",
"ja",
"license:apache-2.0",
"text-generation-inference",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{{bos_token}}{% for message in messages %}{% if message['role'] == 'user' %}{{ '\\n\\n### \u6307\u793a:\\n' + message['content'] }}{% elif message['role'] == 'system' %}{{ '\u4ee5\u4e0b\u306f\u3001\... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en", "ja"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": null, "programming_language": ["C", "C++", "C#", "Go... | # llm-jp-3-1.8b-instruct
This repository provides large language models developed by the [Research and Development Center for Large Language Models](https://llmc.nii.ac.jp/) at the [National Institute of Informatics](https://www.nii.ac.jp/en/).
| Model Variants |
| :--- |
| [llm-jp-3-1.8b](https://huggingface.co/ll... | null | [
"apache-2.0"
] | null | [
"en",
"ja"
] | 1,867,614,208 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
685bee183ae1578c4820904b | b0609c327dbce148 | 7248e27b8830e293 | 128,166 | BPE | 264,306 | false | true | true | true | 209 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 1,020 | tencent/Hunyuan-A13B-Instruct | tencent | null | 22,754 | 142,316 | False | 2025-06-25T12:39:52Z | 2025-08-21T08:36:52Z | transformers | 616 | 0 | null | text-generation | null | [
".gitattributes",
"LICENSE",
"Notice.txt",
"README.md",
"README_CN.md",
"config.json",
"configuration_hunyuan.py",
"generation_config.json",
"hunyuan.py",
"model-00001-of-00033.safetensors",
"model-00002-of-00033.safetensors",
"model-00003-of-00033.safetensors",
"model-00004-of-00033.safeten... | 290ddb9a56ed23c2c83a1c8081533e58925df952 | [
"transformers",
"safetensors",
"hunyuan_v1_moe",
"text-generation",
"conversational",
"custom_code",
"license:other",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["HunYuanMoEV1ForCausalLM"], "auto_map": {"AutoConfig": "configuration_hunyuan.HunYuanConfig", "AutoModel": "hunyuan.HunYuanModel", "AutoModelForCausalLM": "hunyuan.HunYuanMoEV1ForCausalLM"}, "model_type": "hunyuan_v1_moe", "tokenizer_config": {"bos_token": "<|startoftext|>", "eos_token": "<|eos|>", "... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "other", "license_name": "tencent-hunyuan-a13b", "license_link": "https://github.com/Tencent-Hunyuan/Hunyuan-A13B/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": null, "tags... | <p align="center">
<img src="https://dscache.tencent-cloud.cn/upload/uploader/hunyuan-64b418fd052c033b228e04bc77bbc4b54fd7f5bc.png" width="400"/> <br>
</p><p></p>
<p align="center">
🤗 <a href="https://huggingface.co/tencent/Hunyuan-A13B-Instruct"><b>Hugging Face</b></a> |
🖥️&nbs... | null | [
"other",
"tencent-hunyuan-a13b",
"https://github.com/Tencent-Hunyuan/Hunyuan-A13B/blob/main/LICENSE"
] | null | null | null | null | null | [
"AutoModelForCausalLM",
"hunyuan_v1_moe",
"HunYuanMoEV1ForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
660fec7b683188e1ffeb9fa9 | 800447a0e445c9d5 | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 1,021 | h2oai/h2o-danube2-1.8b-chat | h2oai | null | 551 | 84,543 | False | 2024-04-05T12:20:11Z | 2024-04-22T10:32:16Z | transformers | 62 | 0 | null | text-generation | {"parameters": {"BF16": 1831201280}, "total": 1831201280} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | 6d8114cb4160755a092babed10a7d383cc10b1db | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"gpt",
"llm",
"large language model",
"h2o-llmstudio",
"conversational",
"en",
"arxiv:2401.16818",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% for message in messages %}{% if message['role'] == 'user' %}{{ '<|prompt|>' + message['content'] + eos_token }}{% elif message['role'] == 'system' %}{{ raise_exception('System role not suppor... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["gpt", "llm", "large language model", "h2o-llmstudio"], "... | # Model Card
## Summary
h2o-danube2-1.8b-chat is a chat fine-tuned model by H2O.ai with 1.8 billion parameters. We release three versions of this model:
| Model Name | Description |
|:----------------------------------------------------------... | null | [
"apache-2.0"
] | null | [
"en"
] | 1,831,201,280 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
675356e859a4826a6f459979 | cb3f886e13ad7505 | 1f1d26e73b02d1f3 | 49,152 | BPE | 48,891 | false | true | false | true | 19 | null | Sequence | ByteLevel | null | [
"Digits",
"ByteLevel"
] | [
"ByteLevel"
] | 70 | ibm-granite/granite-3.1-2b-base | ibm-granite | null | 2,153 | 99,587 | False | 2024-12-06T19:56:24Z | 2025-04-16T14:59:16Z | transformers | 14 | 0 | null | text-generation | {"parameters": {"BF16": 2533525504}, "total": 2533525504} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | bcf4e33e7debde263041db41869f9cdbeaae3f01 | [
"transformers",
"safetensors",
"granite",
"text-generation",
"language",
"granite-3.1",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GraniteForCausalLM"], "model_type": "granite", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "pad_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["language", "granite-3.1"], "new_version": "ibm-granite/granite-3.3-2b-b... | # Granite-3.1-2B-Base
**Model Summary:**
Granite-3.1-2B-Base extends the context length of Granite-3.0-2B-Base from 4K to 128K using a progressive training strategy by increasing the supported context length in increments while adjusting RoPE theta until the model has successfully adapted to desired length of 128K. T... | null | [
"apache-2.0"
] | null | null | 2,533,525,504 | null | null | [
"granite",
"AutoModelForCausalLM",
"GraniteForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc136468d709f1802ac | 53ecf467267e2824 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 0 | sentence-transformers/distilbert-base-nli-stsb-quora-ranking | sentence-transformers | null | 328 | 84,557 | False | 2022-03-02T23:29:05Z | 2025-03-06T13:33:11Z | sentence-transformers | 0 | 0 | null | sentence-similarity | {"parameters": {"F32": 66362880}, "total": 66362880} | [
".gitattributes",
"1_Pooling/config.json",
"README.md",
"binary_similarity_evaluation_results.csv",
"config.json",
"config_sentence_transformers.json",
"model.safetensors",
"modules.json",
"onnx/model.onnx",
"onnx/model_O1.onnx",
"onnx/model_O2.onnx",
"onnx/model_O3.onnx",
"onnx/model_O4.onn... | 81e1f64f4fa86ab172735ba0371fb8af595aa74f | [
"sentence-transformers",
"pytorch",
"tf",
"onnx",
"safetensors",
"openvino",
"distilbert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DistilBertModel"], "model_type": "distilbert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "sentence-transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "sentence-similarity", "tags": ["sentence-transformers", "feature-extraction",... | # sentence-transformers/distilbert-base-nli-stsb-quora-ranking
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becom... | null | [
"apache-2.0"
] | null | null | 66,362,880 | null | null | [
"AutoModel",
"distilbert",
"DistilBertModel"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
669fed4b4d95f13eb6f283fc | c6de6331832e687a | 6622292dca275a2d | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 142 | TroyDoesAI/Llama-3.1-8B-Instruct | TroyDoesAI | null | 47 | 88,486 | False | 2024-07-23T17:50:03Z | 2024-07-23T18:16:14Z | transformers | 3 | 0 | null | text-generation | {"parameters": {"BF16": 8030261248}, "total": 8030261248} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"... | 3c168bd163fe098ebf4f7f7cbc731c53fee91d5a | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:wtfpl",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|e... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "wtfpl", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | Fixed the config file for those who could not run the original on Meta Page.
This is to help people with this error message:
```
ValueError: `rope_scaling` must be a dictionary with two fields, `type` and `factor`, got {'factor': 8.0, 'high_freq_factor': 4.0, 'low_freq_factor': 1.0, 'original_max_position_embeddings'... | null | [
"wtfpl"
] | null | null | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
666bc408736f25082ccd4697 | 34093184d10f76a9 | 35b001f3a491f9f9 | 151,646 | BPE | 151,387 | true | true | true | true | 3 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 53 | natong19/Qwen2-7B-Instruct-abliterated | natong19 | null | 1,395 | 88,805 | False | 2024-06-14T04:16:08Z | 2024-06-14T05:50:35Z | transformers | 5 | 0 | null | text-generation | {"parameters": {"BF16": 7615616512}, "total": 7615616512} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"tokenizer.json",
"tokenizer_con... | 127962453ae87879719a82a97384ac1859787a25 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] +... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["chat"]} | # Qwen2-7B-Instruct-abliterated
## Introduction
Abliterated version of [Qwen2-7B-Instruct](https://huggingface.co/Qwen/Qwen2-7B-Instruct) using [failspy](https://huggingface.co/failspy)'s notebook.
The model's strongest refusal directions have been ablated via weight orthogonalization, but the model may still refuse ... | null | [
"apache-2.0"
] | null | [
"en"
] | 7,615,616,512 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
660beaa2052bcb821c95a7a8 | 88cd37e502d27a0a | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 88 | nlpai-lab/KULLM3 | nlpai-lab | {
"models": [
{
"_id": "657874e50c22bb8984c717f7",
"id": "upstage/SOLAR-10.7B-v1.0"
}
],
"relation": "finetune"
} | 48 | 84,286 | False | 2024-04-02T11:23:14Z | 2024-04-30T08:50:44Z | transformers | 49 | 0 | null | text-generation | {"parameters": {"F16": 10731524096}, "total": 10731524096} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"kullm3_instruction_evaluation.png",
"kullm_logo.png",
"model-00001-of-00005.safetensors",
"model-00002-of-00005.safetensors",
"model-00003-of-00005.safetensors",
"model-00004-of-00005.safetensors",
"model-00005-of-00005.saf... | 651f4d276bb50ea8584a398f349e3e3e2ba05967 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"en",
"ko",
"base_model:upstage/SOLAR-10.7B-v1.0",
"base_model:finetune:upstage/SOLAR-10.7B-v1.0",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = \"\... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["upstage/SOLAR-10.7B-v1.0"], "datasets": null, "eval_results": null, "language": ["en", "ko"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | <a href="https://github.com/nlpai-lab/KULLM">
<img src="kullm_logo.png" width="50%"/>
</a>
# KULLM3
Introducing KULLM3, a model with advanced instruction-following and fluent chat abilities.
It has shown remarkable performance in instruction-following, speficially by closely following gpt-3.5-turbo.
To our knowled... | null | [
"apache-2.0"
] | null | [
"en",
"ko"
] | 10,731,524,096 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66f4d9121155b4d67df507ce | 3a33b0b3420cd806 | 848f17b3cc76e170 | 32,100 | Unigram | null | true | true | true | true | 103 | Sequence | Metaspace | Metaspace | [
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 148 | Marqo/marqo-ecommerce-embeddings-B | Marqo | null | 155,341 | 404,679 | False | 2024-09-26T03:46:26Z | 2024-11-12T02:17:46Z | open_clip | 40 | 0 | null | null | {"parameters": {"F32": 203155968}, "total": 203155968} | [
".gitattributes",
"README.md",
"bar_chart_1.png",
"config.json",
"marqo_fashionSigLIP.py",
"model.safetensors",
"open_clip_config.json",
"open_clip_model.safetensors",
"open_clip_pytorch_model.bin",
"preprocessor_config.json",
"special_tokens_map.json",
"spiece.model",
"tokenizer.json",
"t... | 6854090aa39b2a9d70f390d83ae9e70cf9d9004e | [
"open_clip",
"safetensors",
"siglip",
"clip",
"ecommerce",
"multimodal retrieval",
"transformers",
"openCLIP",
"custom_code",
"dataset:Marqo/amazon-products-eval",
"dataset:Marqo/google-shopping-general-eval",
"license:apache-2.0",
"region:us"
] | null | {"auto_map": {"AutoConfig": "marqo_fashionSigLIP.MarqoFashionSigLIPConfig", "AutoModel": "marqo_fashionSigLIP.MarqoFashionSigLIP", "AutoProcessor": "marqo_fashionSigLIP.MarqoFashionSigLIPProcessor"}, "model_type": "siglip", "tokenizer_config": {"eos_token": "</s>", "pad_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": null,
"processor": null
} | {"base_model": null, "datasets": ["Marqo/amazon-products-eval", "Marqo/google-shopping-general-eval"], "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["clip", "ecommerce... | <div style="display: flex; align-items: center; gap: 10px;">
<a href="https://www.marqo.ai/blog/introducing-marqos-ecommerce-embedding-models">
<img src="https://img.shields.io/badge/Model_Release-Blog-blue?logo=font-awesome&logoColor=white&style=flat&logo=pencil-alt" alt="Blog">
</a>
<a href="https://github.... | null | [
"apache-2.0"
] | [
"Marqo/amazon-products-eval",
"Marqo/google-shopping-general-eval"
] | null | 203,155,968 | null | null | [
"AutoModel",
"siglip"
] | [
null
] | null | null | null |
657ae4b7c8c6e8dceea00c2a | e23b6bdbe047bb7e | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 46 | swap-uniba/LLaMAntino-2-7b-hf-ITA | swap-uniba | null | 2,916 | 90,600 | False | 2023-12-14T11:19:19Z | 2024-01-22T08:16:22Z | transformers | 7 | 0 | null | text-generation | {"parameters": {"F32": 2048, "F16": 6738415616}, "total": 6738417664} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"pytorch_model-00001-of-00002.bin",
"pytorch_model-00002-of-00002.bin",
"pytorch_model.bin.index.json",
"special_tokens_... | 482f52189638e5e2c3f5a0b8fb9a7eb525770f4b | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"text-generation-inference",
"it",
"arxiv:2312.09993",
"license:llama2",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<s>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "</s>", "lstrip": false, "normalized": false, "rstrip... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["it"], "library_name": null, "license": "llama2", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["text-generation-inference"]} | # Model Card for LLaMAntino-2-7b-ITA
*Last Update: 22/01/2024*<br>
## Model description
<!-- Provide a quick summary of what the model is/does. -->
**LLaMAntino-2-7b** is a *Large Language Model (LLM)* that is an italian-adapted **LLaMA 2**.
This model aims to provide Italian NLP researchers with a base model for n... | null | [
"llama2"
] | null | [
"it"
] | 6,738,417,664 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65d0da08f8ab7fc6691f92aa | aeae723420cfe020 | 7c4c85b636f4813b | 64,000 | BPE | 110,029 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 1,022 | ConvexAI/Luminex-34B-v0.2 | ConvexAI | {
"models": [
{
"_id": "659173bf9e16fa7510829591",
"id": "jondurbin/bagel-34b-v0.2"
}
],
"relation": "finetune"
} | 7,840 | 120,266 | False | 2024-02-17T16:08:40Z | 2024-03-04T16:33:55Z | transformers | 10 | 0 | [{"name": "Luminex-32B-v0.2", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config": "ARC-Challenge", "split": "test", "args": {"num_few_shot": 25}}, "metrics": [{"type": "acc_norm", "value": 74.49, "name": "norm... | text-generation | {"parameters": {"F16": 34388917248}, "total": 34388917248} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"huggingface-metadata.txt",
"model-00001-of-00007.safetensors",
"model-00002-of-00007.safetensors",
"model-00003-of-00007.safetensors",
"model-00004-of-00007.safetensors",
"model-00005-of-00007.safetenso... | 7dd541d58a3f8ec8da9f7fb59588e72bdadddbbe | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"conversational",
"base_model:jondurbin/bagel-34b-v0.2",
"base_model:finetune:jondurbin/bagel-34b-v0.2",
"license:other",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{%- for idx in range(0, messages|length) -%}\n{%- if messages[idx]['role'] == 'user' -%}\n{%- if idx > 1 -%}\n{{- bos_token + '[INST] ' + messages[idx]['content'] + ' [/INST]' -}}\n{%- else -%}\n{{-... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "jondurbin/bagel-34b-v0.2", "license": "other", "license_name": "yi-license", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE", "model-index": [{"name": "Luminex-32B-v0.2", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Re... | 
# ConvexAI/Luminex-34B-v0.2
This model is [SimpleSmaug-34b](https://huggingface.co/fblgit/UNA-SimpleSmaug-34b-v1beta) with LaserRMT applied.
[Join our Discord!](https://discord.gg/rJXGjmxqzS)
### Evaluation Results
Coming Soon
### Contamination Results
Coming So... | null | [
"other",
"yi-license",
"https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE"
] | null | null | 34,388,917,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc136468d709f17f010 | a2ff85d8cedaf0ee | 291a9305acaae14c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 260 | pritamdeka/S-PubMedBert-MS-MARCO-SCIFACT | pritamdeka | null | 180 | 83,828 | False | 2022-03-02T23:29:05Z | 2023-07-02T11:43:37Z | sentence-transformers | 5 | 0 | null | sentence-similarity | null | [
".gitattributes",
"1_Pooling/config.json",
"README.md",
"config.json",
"config_sentence_transformers.json",
"modules.json",
"pytorch_model.bin",
"sentence_bert_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 01cee073c3ae85ac7cbcec01d64a214f9c8c4b41 | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertModel"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "sentence-similarity", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "tr... | # S-PubMedBert-MS-MARCO-SCIFACT
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model be... | null | null | null | null | null | null | null | [
"BertModel",
"AutoModel",
"bert"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
6402f8de923fe7905840e0e0 | 160ff155961a6bcb | 95e12a961ee8f7f8 | 197,285 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 532 | l3cube-pune/indic-sentence-similarity-sbert | l3cube-pune | null | 20,115 | 220,144 | False | 2023-03-04T07:53:02Z | 2023-06-11T15:08:45Z | sentence-transformers | 7 | 0 | null | sentence-similarity | null | [
".gitattributes",
"1_Pooling/config.json",
"README.md",
"config.json",
"config_sentence_transformers.json",
"modules.json",
"pytorch_model.bin",
"sentence_bert_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | b07ef91a96390f3e35ce94ddb42340861519bf07 | [
"sentence-transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"multilingual",
"en",
"hi",
"mr",
"kn",
"ta",
"te",
"ml",
"gu",
"or",
"pa",
"bn",
"arxiv:2304.11434",
"arxiv:2211.11187",
"license:cc-by-4.0",
"text-embeddings-inference... | null | {"architectures": ["BertModel"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["multilingual", "en", "hi", "mr", "kn", "ta", "te", "ml", "gu", "or", "pa", "bn"], "library_name": null, "license": "cc-by-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "sentence-similarity... | # IndicSBERT-STS
This is a IndicSBERT model (<a href='https://huggingface.co/l3cube-pune/indic-sentence-bert-nli'>l3cube-pune/indic-sentence-bert-nli</a>) trained on the STS dataset of ten major Indian Languages. <br>
The single model works for English, Hindi, Marathi, Kannada, Tamil, Telugu, Gujarati, Oriya, Punjabi,... | null | [
"cc-by-4.0"
] | null | [
"multilingual",
"en",
"hi",
"mr",
"kn",
"ta",
"te",
"ml",
"gu",
"or",
"pa",
"bn"
] | null | null | null | [
"BertModel",
"AutoModel",
"bert"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
6647ca7b7a1ed3e001324bca | 803e3c8528c55bf1 | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 352 | princeton-nlp/Llama-3-Instruct-8B-SimPO | princeton-nlp | null | 73 | 82,318 | False | 2024-05-17T21:22:03Z | 2024-06-17T11:46:13Z | transformers | 60 | 0 | null | text-generation | {"parameters": {"BF16": 8030261248}, "total": 8030261248} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"... | b3d3584bc6ae41a6bdf6d709b66383209757521a | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:2405.14734",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|e... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | This is a model released from the preprint: *[SimPO: Simple Preference Optimization with a Reference-Free Reward](https://arxiv.org/abs/2405.14734)* Please refer to our [repository](https://github.com/princeton-nlp/SimPO) for more details. | null | null | null | null | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65149d714a2ce8042b3ea7db | 58967ba68263f0aa | 2f8d5857ae5fa330 | 50,277 | BPE | 50,009 | true | true | true | true | 25 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 86 | wtang06/mpt-125m-c4 | wtang06 | null | 1,871 | 91,728 | False | 2023-09-27T21:24:01Z | 2023-10-16T22:10:45Z | transformers | 1 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"adapt_tokenizer.py",
"attention.py",
"blocks.py",
"config.json",
"configuration_mpt.py",
"custom_embedding.py",
"fc.py",
"ffn.py",
"flash_attn_triton.py",
"generation_config.json",
"hf_prefixlm_converter.py",
"meta_init_context.py",
"modeling_mpt.py",
"n... | f13efec5c8498cb52998eb9ed347207f077b5f9d | [
"transformers",
"pytorch",
"mpt",
"text-generation",
"custom_code",
"en",
"dataset:c4",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["MPTForCausalLM"], "auto_map": {"AutoConfig": "configuration_mpt.MPTConfig", "AutoModelForCausalLM": "modeling_mpt.MPTForCausalLM"}, "model_type": "mpt", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "modeling_mpt.MPTForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["c4"], "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # mpt-125m-c4
## Model Description
Pretrained model for MPT-125M trained on C4 dataset
## Training data
Trained on HuggingFace C4 dataset
## Training procedure
This model was trained on C4 for ~2.5B tokens. Training time was ~1 hour with 104 A100-40gb GPUs.
## Intended Use and Limitations
This model is primaril... | null | [
"apache-2.0"
] | [
"c4"
] | [
"en"
] | null | null | null | [
"modeling_mpt.MPTForCausalLM",
"AutoModelForCausalLM",
"mpt",
"MPTForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6732f81db318faa97fb0ecee | 13e75c78378d66a3 | da23da390f4072db | 100,008 | BPE | 99,757 | true | true | true | true | 8 | Sequence | Sequence | ByteLevel | [] | [
"Split",
"Split",
"Split",
"Split",
"Split",
"Digits",
"ByteLevel"
] | [
"ByteLevel"
] | 1,023 | deepseek-ai/JanusFlow-1.3B | deepseek-ai | null | 289 | 83,625 | False | 2024-11-12T06:39:25Z | 2025-01-27T13:32:44Z | transformers | 150 | 0 | null | any-to-any | {"parameters": {"BF16": 2046367504}, "total": 2046367504} | [
".gitattributes",
"README.md",
"arch.png",
"config.json",
"model.safetensors",
"preprocessor_config.json",
"processor_config.json",
"special_tokens_map.json",
"teaser.png",
"tokenizer.json",
"tokenizer_config.json"
] | ba759449ee790649850a00d39caddb0acf1c9132 | [
"transformers",
"safetensors",
"multi_modality",
"muiltimodal",
"text-to-image",
"unified-model",
"any-to-any",
"arxiv:2411.07975",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["MultiModalityCausalLM"], "model_type": "multi_modality", "tokenizer_config": {"bos_token": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "chat_template": "{%- set found_item = false -%}\n{%- for message in messages -%}\n {%- if message['role'] == 'system' -%}\n {%- set found_item = true -%}... | {
"auto_model": "MultiModalityCausalLM",
"custom_class": null,
"pipeline_tag": null,
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "mit", "license_name": "deepseek", "license_link": "LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "any-to-any", "tags": ["muiltimodal", "text-to-image", "unified-model"]} | ## 1. Introduction
We present JanusFlow, a powerful framework that unifies image understanding and generation in a single model.
JanusFlow introduces a minimalist architecture that integrates autoregressive
language models with rectified flow, a state-of-the-art method in generative modeling. Our
key finding demonstr... | null | [
"mit",
"deepseek",
"LICENSE"
] | null | null | 2,046,367,504 | null | null | [
"multi_modality",
"MultiModalityCausalLM"
] | [
null,
"text-to-image",
"any-to-any"
] | [
"vision",
"multimodal"
] | [
"text",
"any"
] | [
"any",
"image"
] |
661402ead16a3fbb488d4479 | 54895f2d8faef315 | e6ffdc5dd5f1fd86 | 256,000 | BPE | 580,604 | true | true | true | true | 249 | Replace | Split | Sequence | [
"Replace"
] | [
"Split"
] | [
"Replace",
"ByteFallback",
"Fuse"
] | 50 | google/recurrentgemma-2b-it | google | null | 2,998 | 94,194 | manual | 2024-04-08T14:44:58Z | 2024-08-07T18:26:58Z | transformers | 111 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | 2766eb5d4264c6c0357803990791f9ab9cd50f8e | [
"transformers",
"safetensors",
"recurrent_gemma",
"text-generation",
"conversational",
"arxiv:2402.19427",
"arxiv:2009.03300",
"arxiv:1905.07830",
"arxiv:1911.11641",
"arxiv:1904.09728",
"arxiv:1905.10044",
"arxiv:1907.10641",
"arxiv:1811.00937",
"arxiv:1809.02789",
"arxiv:1911.01547",
... | null | {"architectures": ["RecurrentGemmaForCausalLM"], "model_type": "recurrent_gemma", "tokenizer_config": {"bos_token": "<bos>", "chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user'... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "gemma", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null, "extra_gated_heading": "Access RecurrentGemma on Hugging Face", "extra_g... | null | null | [
"gemma"
] | null | null | null | null | null | [
"AutoModelForCausalLM",
"recurrent_gemma",
"RecurrentGemmaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
64356306dd26530576450098 | 46b757115ea0e12f | ab8f40e5a89244c4 | 250,680 | BPE | 250,434 | false | true | true | true | 4 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 1,024 | FreedomIntelligence/phoenix-inst-chat-7b | FreedomIntelligence | null | 850 | 86,695 | False | 2023-04-11T13:39:18Z | 2023-11-18T03:20:25Z | transformers | 43 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"pytorch_model-00001-of-00005.bin",
"pytorch_model-00002-of-00005.bin",
"pytorch_model-00003-of-00005.bin",
"pytorch_model-00004-of-00005.bin",
"pytorch_model-00005-of-00005.bin",
"pytorch_model.bin.index.json",
"special_tok... | ba9153bd5bc3d64dfd08c640ae1a1cde07811596 | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BloomForCausalLM"], "model_type": "bloom", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": "<pad>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | Please see our [LLMZoo](https://github.com/FreedomIntelligence/LLMZoo) project: https://github.com/FreedomIntelligence/LLMZoo.
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leade... | null | [
"apache-2.0"
] | null | null | null | null | null | [
"AutoModelForCausalLM",
"BloomForCausalLM",
"bloom"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6691bfd31d1b2204b5f0a43a | c1b718d8c9016487 | c81b23e1dcb12302 | 50,280 | BPE | 50,009 | true | true | true | true | 28 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 295 | allenai/OLMo-7B-0724-hf | allenai | null | 2,144 | 150,160 | False | 2024-07-12T23:44:19Z | 2024-07-16T17:00:55Z | transformers | 17 | 0 | null | text-generation | {"parameters": {"F32": 6888095744}, "total": 6888095744} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00006.safetensors",
"model-00002-of-00006.safetensors",
"model-00003-of-00006.safetensors",
"model-00004-of-00006.safetensors",
"model-00005-of-00006.safetensors",
"model-00006-of-00006.safetensors",
"model.s... | 1ee306df318ee15bfe4a76ebd5c002b0105b1ab6 | [
"transformers",
"safetensors",
"olmo",
"text-generation",
"en",
"dataset:allenai/dolma",
"arxiv:2402.00838",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["OlmoForCausalLM"], "model_type": "olmo", "tokenizer_config": {"bos_token": null, "eos_token": "<|endoftext|>", "pad_token": "<|padding|>", "unk_token": null}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["allenai/dolma"], "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | <img src="https://allenai.org/olmo/olmo-7b-animation.gif" alt="OLMo Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for OLMo 7B July 2024
OLMo is a series of **O**pen **L**anguage **Mo**dels designed to enable the science of language models.
The OLMo models are trained ... | null | [
"apache-2.0"
] | [
"allenai/dolma"
] | [
"en"
] | 6,888,095,744 | null | null | [
"AutoModelForCausalLM",
"OlmoForCausalLM",
"olmo"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc136468d709f17c3fd | 9265daccc395a87e | a34f89f4f051f9fe | 52,001 | BPE | 51,739 | false | true | true | true | 1 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 1,025 | huggingtweets/pabloiglesias | huggingtweets | null | 2 | 31 | False | 2022-03-02T23:29:05Z | 2021-05-22T17:52:55Z | transformers | 1 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"flax_model.msgpack",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | 3d30ed2ab81feb7ce8eac1df3d7fa03db8c13e4e | [
"transformers",
"pytorch",
"jax",
"gpt2",
"text-generation",
"huggingtweets",
"en",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": "en", "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["huggingtweets"], "thumbnail": "https://www.huggingtweets.com/pabloiglesias/1621002350351/... | <div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1337047075859668992/vsS3F... | null | null | null | [
"en"
] | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
679ca259893370e297f182f9 | 848b60b6cd304b65 | ffc911e785abe60e | 151,665 | BPE | 151,387 | true | true | true | true | 22 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 15 | unsloth/Qwen2.5-VL-3B-Instruct-bnb-4bit | unsloth | {
"models": [
{
"_id": "6795ff8f7534713f94918fc5",
"id": "Qwen/Qwen2.5-VL-3B-Instruct"
}
],
"relation": "quantized"
} | 1,882 | 94,733 | False | 2025-01-31T10:13:45Z | 2025-05-12T08:59:03Z | transformers | 4 | 0 | null | image-text-to-text | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.jinja",
"chat_template.json",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"preprocessor_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | f9adca15cefb612e7f03a1c8a5fddb920b1786f3 | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"multimodal",
"unsloth",
"conversational",
"en",
"arxiv:2309.00071",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen2.5-VL-3B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-VL-3B-Instruct",
"text-generation-inf... | null | {"architectures": ["Qwen2_5_VLForConditionalGeneration"], "model_type": "qwen2_5_vl", "quantization_config": {"load_in_4bit": true, "load_in_8bit": false, "quant_method": "bitsandbytes"}, "processor_config": {"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for me... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": ["Qwen/Qwen2.5-VL-3B-Instruct"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": null, "license_name": "qwen-research", "license_link": "https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct/blob/main/LICENSE", "metrics": null, "model_name": null, "pipe... | # Qwen2.5-VL-3B-Instruct
<a href="https://chat.qwenlm.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
## Introduction
In the past five months since Qwen2-VL’s r... | null | [
"qwen-research",
"https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct/blob/main/LICENSE"
] | null | [
"en"
] | null | null | null | [
"qwen2_5_vl",
"AutoModelForImageTextToText",
"Qwen2_5_VLForConditionalGeneration"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
6605d36dcd1b5614c6350da7 | afc54afbc3bed616 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 792 | guishe/nuner-v1_orgs | guishe | {
"models": [
{
"_id": "65e5d61b4da699371a0fabd2",
"id": "numind/NuNER-v1.0"
}
],
"relation": "finetune"
} | 3,666 | 114,794 | False | 2024-03-28T20:30:37Z | 2024-04-05T08:18:11Z | transformers | 2 | 0 | [{"name": "nuner-v1_orgs", "results": [{"task": {"type": "token-classification", "name": "Named Entity Recognition"}, "dataset": {"name": "FewNERD, CoNLL2003, and OntoNotes v5", "type": "tomaarsen/ner-orgs", "split": "test"}, "metrics": [{"type": "f1", "value": 0.7798010380622837, "name": "F1", "verified": false}, {"ty... | token-classification | {"parameters": {"F32": 124057347}, "total": 124057347} | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | 2e95454e741e5bdcbfabd6eaed5fb03a266cf043 | [
"transformers",
"safetensors",
"roberta",
"token-classification",
"ner",
"named-entity-recognition",
"en",
"dataset:tomaarsen/ner-orgs",
"arxiv:2402.15343",
"base_model:numind/NuNER-v1.0",
"base_model:finetune:numind/NuNER-v1.0",
"license:cc-by-sa-4.0",
"model-index",
"endpoints_compatible... | null | {"architectures": ["RobertaForTokenClassification"], "model_type": "roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": "numind/NuNER-v1.0", "datasets": ["tomaarsen/ner-orgs"], "language": ["en"], "library_name": "transformers", "license": "cc-by-sa-4.0", "metrics": ["precision", "recall", "f1", "accuracy"], "pipeline_tag": "token-classification", "tags": ["token-classification", "ner", "named-entity-recognition"], "widge... | # numind/NuNER-v1.0 fine-tuned on FewNERD-fine-supervised
This is a [NuNER](https://arxiv.org/abs/2402.15343) model fine-tuned on the [NER-ORGS](https://huggingface.co/datasets/tomaarsen/ner-orgs) dataset that can be used for Named Entity Recognition. NuNER model uses [RoBERTa-base](https://huggingface.co/FacebookAI/r... | null | [
"cc-by-sa-4.0"
] | [
"tomaarsen/ner-orgs"
] | [
"en"
] | 124,057,347 | null | [
"precision",
"recall",
"f1",
"accuracy"
] | [
"roberta",
"AutoModelForTokenClassification",
"RobertaForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
667e0eb43bcd2fe62700ca18 | 3f287b04362fff24 | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 158 | grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge | grimjim | {
"models": [
{
"_id": "667a7061742286b16d11b961",
"id": "UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3"
},
{
"_id": "6647ca7b7a1ed3e001324bca",
"id": "princeton-nlp/Llama-3-Instruct-8B-SimPO"
}
],
"relation": "merge"
} | 7,830 | 119,668 | False | 2024-06-28T01:15:32Z | 2024-09-17T13:36:39Z | transformers | 3 | 0 | [{"name": "Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "IFEval (0-Shot)", "type": "HuggingFaceH4/ifeval", "args": {"num_few_shot": 0}}, "metrics": [{"type": "inst_level_strict_acc and prompt_level_strict_acc", "value": 42.... | text-generation | {"parameters": {"BF16": 8030261248}, "total": 8030261248} | [
".gitattributes",
"LICENSE",
"Notice",
"README.md",
"config.json",
"generation_config.json",
"mergekit_config.yml",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
... | 1d6818846e55cc8f78e961e1c9e4fa9da4b98cd2 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3",
"base_model:merge:UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3",
"base_model:princeton-nlp/Llama-3-Instruct-8B-SimPO",
"base_model:merge:princeton-nl... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|e... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["princeton-nlp/Llama-3-Instruct-8B-SimPO", "UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3"], "library_name": "transformers", "license": "llama3", "pipeline_tag": "text-generation", "tags": ["mergekit", "merge"], "model-index": [{"name": "Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge", "results": [{"task": {"type... | # Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
Built with Meta Llama 3.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following model... | null | [
"llama3"
] | null | null | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
651d14a8bb3a53edca43b10c | 88cd37e502d27a0a | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 88 | LeoLM/leo-mistral-hessianai-7b | LeoLM | null | 107 | 84,119 | False | 2023-10-04T07:30:48Z | 2023-12-29T00:03:08Z | transformers | 30 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"imgs/benchmarks.png",
"imgs/training_params.png",
"pytorch_model-00001-of-00002.bin",
"pytorch_model-00002-of-00002.bin",
"pytorch_model.bin.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"... | 1912201933c0def04742efb5760ddc490474a503 | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"en",
"de",
"dataset:oscar-corpus/OSCAR-2301",
"dataset:wikipedia",
"dataset:bjoernp/tagesschau-2018-2023",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": null, "unk_token": "<unk>", "use_default_system_prompt": true}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["oscar-corpus/OSCAR-2301", "wikipedia", "bjoernp/tagesschau-2018-2023"], "eval_results": null, "language": ["en", "de"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-gener... | # LAION LeoLM: **L**inguistically **E**nhanced **O**pen **L**anguage **M**odel
Meet LeoLM-Mistral, the first open and commercially available German Foundation Language Model built on Mistral 7b.
Our models extend Llama-2's capabilities into German through continued pretraining on a large corpus of German-language and ... | null | [
"apache-2.0"
] | [
"oscar-corpus/OSCAR-2301",
"wikipedia",
"bjoernp/tagesschau-2018-2023"
] | [
"en",
"de"
] | null | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
676e688b24d6e9aa40be8024 | 01d574ae3b5f557d | f4a363c0b2dfd1b8 | 32,768 | BPE | 32,256 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 1,012 | SmallDoge/Doge-20M | SmallDoge | null | 1,429 | 85,184 | False | 2024-12-27T08:42:51Z | 2025-06-25T17:19:33Z | transformers | 9 | 0 | null | text-generation | {"parameters": {"F32": 13118728}, "total": 13118728} | [
".gitattributes",
"Doge.png",
"README.md",
"chat_template.jinja",
"config.json",
"configuration_doge.py",
"generation_config.json",
"model.safetensors",
"modeling_doge.py",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 96732b0f53edfe0d37f0447572450f5d25e578ee | [
"transformers",
"safetensors",
"doge",
"text-generation",
"pt",
"conversational",
"en",
"dataset:HuggingFaceTB/smollm-corpus",
"arxiv:2412.11834",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DogeForCausalLM"], "model_type": "doge", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "eos_token": "<|end_of_text|>", "pad_token": "<|finetune_right_pad_id|>", "unk_token": null}, "chat_template_jinja": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools ... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["HuggingFaceTB/smollm-corpus"], "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["pt", "doge"]} | null | null | [
"apache-2.0"
] | [
"HuggingFaceTB/smollm-corpus"
] | [
"en"
] | 13,118,728 | null | null | [
"doge",
"AutoModelForCausalLM",
"DogeForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
656c9bdb996819a828a3fa3e | 5afd7d59d2aa5e01 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 125 | Rahmat82/DistilBERT-finetuned-on-emotion | Rahmat82 | {
"models": [
{
"_id": "621ffdc036468d709f174347",
"id": "distilbert/distilbert-base-uncased"
}
],
"relation": "finetune"
} | 74 | 81,956 | False | 2023-12-03T15:16:43Z | 2024-02-28T09:48:15Z | transformers | 3 | 0 | [{"name": "DistilBERT-finetuned-on-emotion", "results": [{"task": {"name": "Text Classification", "type": "text-classification"}, "dataset": {"name": "emotion", "type": "emotion", "config": "split", "split": "validation", "args": "split"}, "metrics": [{"name": "Accuracy", "type": "accuracy", "value": 0.9235, "verified"... | text-classification | {"parameters": {"F32": 66958086}, "total": 66958086} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"runs/Dec03_15-24-31_1fce1bf07774/events.out.tfevents.1701617082.1fce1bf07774.979.1",
"runs/Dec04_08-10-26_a7652d90b6b2/events.out.tfevents.1701677430.a7652d90b6b2.293.0",
"runs/Dec04_19-08-35_3da05acdfeb5/events.out.tfevents.1701716919.... | 3e2de5eb5ec574be9e2c1a45d79cf59c9cd05acc | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"base_model:distilbert/distilbert-base-uncased",
"base_model:finetune:distilbert/distilbert-base-uncased",
"license:apache-2.0",
"model-index",
"text-embeddings-infer... | null | {"architectures": ["DistilBertForSequenceClassification"], "model_type": "distilbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": "distilbert-base-uncased", "datasets": ["emotion"], "license": "apache-2.0", "metrics": ["accuracy", "f1"], "tags": ["generated_from_trainer"], "widget": [{"text": "The gentle touch of your hand on mine is a silent promise that echoes through the corridors of my heart."}, {"text": " Walking through the d... | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# DistilBERT-finetuned-on-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert... | null | [
"apache-2.0"
] | [
"emotion"
] | null | 66,958,086 | null | [
"accuracy",
"f1"
] | [
"DistilBertForSequenceClassification",
"distilbert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6672fcd6b5eca10fa3856263 | a1524adaa43b439b | 3e62a24f3d0a884f | 32,003 | BPE | 58,980 | true | false | true | true | 6 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 228 | TIGER-Lab/VideoScore | TIGER-Lab | null | 1,473 | 83,342 | False | 2024-06-19T15:44:22Z | 2025-01-08T16:13:20Z | transformers | 7 | 0 | null | visual-question-answering | {"parameters": {"BF16": 8271704309}, "total": 8271704309} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"preprocessor_config.json",... | 45a2abbc5faa0cac3a4010dfbc4492903ae1ed9a | [
"transformers",
"safetensors",
"idefics2",
"text-classification",
"visual-question-answering",
"en",
"dataset:TIGER-Lab/VideoFeedback",
"arxiv:2406.15252",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["Idefics2ForSequenceClassification"], "model_type": "idefics2", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": "<unk>", "unk_token": "<unk>", "use_default_system_prompt": true}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoProcessor"
} | {"base_model": null, "datasets": ["TIGER-Lab/VideoFeedback"], "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["accuracy/spcc"], "model_name": null, "pipeline_tag": "visual-question-answering", "tags": null} | [📃Paper](https://arxiv.org/abs/2406.15252) | [🌐Website](https://tiger-ai-lab.github.io/VideoScore/) | [💻Github](https://github.com/TIGER-AI-Lab/VideoScore) | [🛢️Datasets](https://huggingface.co/datasets/TIGER-Lab/VideoFeedback) | [🤗Model (VideoScore)](https://huggingface.co/TIGER-Lab/VideoScore) | [🤗Model (VideoS... | null | [
"apache-2.0"
] | [
"TIGER-Lab/VideoFeedback"
] | [
"en"
] | 8,271,704,309 | null | [
"accuracy/spcc"
] | [
"Idefics2ForSequenceClassification",
"AutoModelForSequenceClassification",
"idefics2"
] | [
"visual-question-answering",
"text-classification"
] | [
"text",
"multimodal"
] | [
"text",
"image"
] | [
"logits"
] |
65497aecbb930b5b96b27e85 | fc29ccd738d51f6b | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 1 | AdamCodd/tinybert-emotion-balanced | AdamCodd | {
"models": [
{
"_id": "621ffdc136468d709f17ef83",
"id": "prajjwal1/bert-tiny"
}
],
"relation": "quantized"
} | 3,760 | 112,634 | False | 2023-11-06T23:46:52Z | 2025-08-07T15:38:08Z | transformers | 4 | 1 | [{"name": "AdamCodd/tinybert-emotion-balanced", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "emotion", "type": "emotion", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.9354, "name": "Accuracy", "verified": false}, {"type": "loss", "value": 0... | text-classification | null | [
".gitattributes",
"README.md",
"config.json",
"onnx/model.onnx",
"onnx/model_bnb4.onnx",
"onnx/model_fp16.onnx",
"onnx/model_int8.onnx",
"onnx/model_q4.onnx",
"onnx/model_q4f16.onnx",
"onnx/model_quantized.onnx",
"onnx/model_uint8.onnx",
"pytorch_model.bin",
"pytorch_model.safetensors",
"s... | 4b716ee8ebf850b6f8deb8ab6e5ff24a2fe2e01f | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"dataset:AdamCodd/emotion-balanced",
"base_model:prajjwal1/bert-tiny",
"base_model:quantized:prajjwal1/bert-tiny",
"license:apache-2.0",
"model-index",
"text-embeddings-inference",
"e... | null | {"architectures": ["BertForSequenceClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": "prajjwal1/bert-tiny", "datasets": ["AdamCodd/emotion-balanced"], "license": "apache-2.0", "metrics": ["accuracy", "f1", "recall", "precision"], "tags": ["generated_from_trainer"], "model-index": [{"name": "AdamCodd/tinybert-emotion-balanced", "results": [{"task": {"type": "text-classification", "name": ... | # tinybert-emotion
This model is a fine-tuned version of [bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on the [emotion balanced dataset](https://huggingface.co/datasets/AdamCodd/emotion-balanced).
It achieves the following results on the evaluation set:
- Loss: 0.1809
- Accuracy: 0.9354
## Model description... | null | [
"apache-2.0"
] | [
"AdamCodd/emotion-balanced"
] | null | null | null | [
"accuracy",
"f1",
"recall",
"precision"
] | [
"BertForSequenceClassification",
"bert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
655409b3d8654432e0d83b7d | f5ca2ac810d9a2db | db117e9883c4d0ab | 50,257 | BPE | 50,000 | false | true | true | true | 1 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 1,026 | igorvln/dare_gpt2_ddi_byrelation_finetuning | igorvln | null | 12 | 81,414 | False | 2023-11-14T23:58:43Z | 2023-11-20T12:42:44Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"config.json",
"generation_config.json",
"pytorch_model.bin",
"tokenizer.json"
] | 06d6441c79ef35b62f3f1bee80ecd5c07699e5aa | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67c79345a78dc9c14f00f5e1 | 118d37b03b44da96 | 18b7e9952ab1c8aa | 128,268 | BPE | 280,147 | false | true | true | true | 268 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 1,027 | adeelahmad/ReasonableLlama3-3B-Jr | adeelahmad | {
"models": [
{
"_id": "66f4970900d2de868719bfe2",
"id": "mlx-community/Llama-3.2-3B-Instruct"
}
],
"relation": "quantized"
} | 175 | 82,123 | False | 2025-03-04T23:56:53Z | 2025-05-16T03:17:32Z | transformers | 6 | 0 | null | text-generation | {"parameters": {"F16": 3212611584, "BF16": 175104}, "total": 3212786688} | [
".gitattributes",
"README.md",
"ReasonableLlama3-3B-Q2_K.gguf",
"ReasonableLlama3-3B-Q4_K.gguf",
"ReasonableLlama3-3B-Q6_0.gguf",
"ReasonableLlama3-3B-Q8_0.gguf",
"ReasonableLlama3-3B-Q8_K.gguf",
"config.json",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safete... | afff94904bbc7a356a27fd88399f38ce41082655 | [
"transformers",
"safetensors",
"gguf",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-3",
"mlx",
"reasoning",
"deepseek",
"ollama",
"chain-of-thoughts",
"small-llm",
"edge",
"conversational",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"base_m... | {"total": 3212786752, "architecture": "llama", "context_length": 131072, "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_st... | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"bits": 8}, "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined ... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "mlx-community/Llama-3.2-3B-Instruct", "datasets": null, "eval_results": null, "language": ["en", "de", "fr", "it", "pt", "hi", "es", "th"], "library_name": "transformers", "license": "llama3.2", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-genera... | null | null | [
"llama3.2"
] | null | [
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th"
] | 3,212,786,688 | 3,212,786,752 | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
678fce6accac14c46b972dab | c1b718d8c9016487 | c81b23e1dcb12302 | 50,280 | BPE | 50,009 | true | true | true | true | 28 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 295 | allenai/OLMoE-1B-7B-0125 | allenai | null | 31,112 | 243,927 | False | 2025-01-21T16:42:18Z | 2025-03-16T15:13:11Z | transformers | 35 | 0 | null | text-generation | {"parameters": {"F32": 6919161856}, "total": 6919161856} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00006.safetensors",
"model-00002-of-00006.safetensors",
"model-00003-of-00006.safetensors",
"model-00004-of-00006.safetensors",
"model-00005-of-00006.safetensors",
"model-00006-of-00006.safetensors",
"model.s... | 9b0c1aa87e34a20052389dce1f0cf01da783f654 | [
"transformers",
"safetensors",
"olmoe",
"text-generation",
"moe",
"olmo",
"en",
"dataset:allenai/OLMoE-mix-0924",
"dataset:allenai/dolmino-mix-1124",
"arxiv:2409.02060",
"license:apache-2.0",
"co2_eq_emissions",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["OlmoeForCausalLM"], "model_type": "olmoe", "tokenizer_config": {"bos_token": null, "eos_token": "<|endoftext|>", "pad_token": "<|padding|>", "unk_token": null}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["allenai/OLMoE-mix-0924", "allenai/dolmino-mix-1124"], "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["moe", "olmo", "olmo... | <img alt="OLMoE Logo." src="olmoe-logo.png" width="250px">
# Model Summary
> OLMoE-1B-7B is a Mixture-of-Experts LLM with 1B active and 7B total parameters released in January 2025 (0125) that is 100% open-source. It is an improved version of OLMoE-09-24, see the [paper appendix](https://arxiv.org/abs/2409.02060) fo... | null | [
"apache-2.0"
] | [
"allenai/OLMoE-mix-0924",
"allenai/dolmino-mix-1124"
] | [
"en"
] | 6,919,161,856 | null | null | [
"OlmoeForCausalLM",
"olmoe",
"AutoModelForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67333373c7b41d8609d4e697 | e68b0b111c49dac2 | dd84a2b1ff97657d | 250,002 | Unigram | null | true | true | true | true | 5 | Precompiled | Sequence | Metaspace | [
"Precompiled"
] | [
"WhitespaceSplit",
"Metaspace"
] | [
"Metaspace"
] | 28 | Metric-AI/armenian-text-embeddings-1 | Metric-AI | {
"models": [
{
"_id": "64674ee0e92e2372d5cb7b0a",
"id": "intfloat/multilingual-e5-base"
}
],
"relation": "finetune"
} | 944 | 84,941 | False | 2024-11-12T10:52:35Z | 2026-03-19T13:01:56Z | transformers | 20 | 0 | null | feature-extraction | {"parameters": {"F32": 278043648}, "total": 278043648} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 5ee886ead3062e4b714d7a66597b01478460252e | [
"transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"sentence-transformers",
"en",
"hy",
"base_model:intfloat/multilingual-e5-base",
"base_model:finetune:intfloat/multilingual-e5-base",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["XLMRobertaModel"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": ["intfloat/multilingual-e5-base"], "datasets": null, "eval_results": null, "language": ["en", "hy"], "library_name": "transformers", "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["sentence-transformers"]} | # Armenian-Text-Embeddings-1
## Model Details
- **Model Name**: Armenian-Text-Embeddings-1
- **Model Type**: Text Embeddings for Armenian Language
- **Base Model**: intfloat/multilingual-e5-base
- **Version**: 1.0.0
- **License**: Apache 2.0
- **Last Updated**: November 2024
- **Model Architecture**: Transformer-based... | null | null | null | [
"en",
"hy"
] | 278,043,648 | null | null | [
"XLMRobertaModel",
"AutoModel",
"xlm-roberta"
] | [
"feature-extraction"
] | [
"multimodal"
] | [
"text"
] | [
"embeddings"
] |
66a00ce34d95f13eb6fca248 | 30b476dc43475082 | 772d424ff1d707ab | 131,074 | BPE | 269,443 | false | true | true | true | 1,002 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 1,028 | dphn/dolphin-2.9.3-mistral-nemo-12b | dphn | {
"models": [
{
"_id": "6698edefb217817b01892d68",
"id": "mistralai/Mistral-Nemo-Base-2407"
}
],
"relation": "finetune"
} | 3,189 | 94,569 | False | 2024-07-23T20:04:51Z | 2024-07-26T04:16:15Z | transformers | 114 | 1 | null | text-generation | {"parameters": {"BF16": 12247802880}, "total": 12247802880} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"model-00001-of-00005.safetensors",
"model-00002-of-00005.safetensors",
"model-00003-of-00005.safetensors",
"model-00004-of-00005.safetensors",
"model-00005-of-00005.safetensors",
"model.safetensors.inde... | 7b535c900688fc836fbeebaeb7133910b09bafda | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"generated_from_trainer",
"axolotl",
"conversational",
"dataset:cognitivecomputations/Dolphin-2.9",
"dataset:teknium/OpenHermes-2.5",
"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"dataset:cognitivecomputations/dolphin-coder",
"... | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "mistralai/Mistral-Nemo-Base-2407", "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "microsoft/orca-math-word-problems-200k", "Locutusque/function-calling-c... | null | null | [
"apache-2.0"
] | [
"cognitivecomputations/Dolphin-2.9",
"teknium/OpenHermes-2.5",
"m-a-p/CodeFeedback-Filtered-Instruction",
"cognitivecomputations/dolphin-coder",
"cognitivecomputations/samantha-data",
"microsoft/orca-math-word-problems-200k",
"Locutusque/function-calling-chatml",
"internlm/Agent-FLAN"
] | null | 12,247,802,880 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
64c36d700e75a24a26d12a14 | 35f8a93a304f6b78 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 6 | Moritz-Pfeifer/CentralBankRoBERTa-agent-classifier | Moritz-Pfeifer | null | 77 | 81,568 | False | 2023-07-28T07:25:36Z | 2024-01-10T17:33:25Z | transformers | 3 | 0 | null | text-classification | null | [
".gitattributes",
"README.md",
"config.json",
"optimizer.pt",
"pytorch_model.bin",
"scheduler.pt",
"tokenizer.json",
"trainer_state.json",
"training_args.bin"
] | d4d472a92a1988142778a2ac40cc240f2870150f | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"finance",
"en",
"dataset:Moritz-Pfeifer/CentralBankCommunication",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForSequenceClassification"], "model_type": "roberta"} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["Moritz-Pfeifer/CentralBankCommunication"], "eval_results": null, "language": ["en"], "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-classification", "tags": ["finance"], "widget": [{"text":... | <div style="display: flex; align-items: center; gap: 10px;">
<a href="https://doi.org/10.1016/j.jfds.2023.100114">
<img src="https://img.shields.io/badge/Paper_Page-j.jfds.2023.100114-green" alt="Paper Page">
</a>
<a href="https://github.com/Moritz-Pfeifer/CentralBankRoBERTa">
<img src="https://img.shield... | null | [
"mit"
] | [
"Moritz-Pfeifer/CentralBankCommunication"
] | [
"en"
] | null | null | null | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
675984ba8549c628e8210558 | 7082cfb69a968320 | fb1e572991161179 | 128,256 | BPE | 127,744 | false | true | true | true | 259 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 1,029 | ai-sage/Giga-Embeddings-instruct | ai-sage | null | 43,024 | 499,717 | False | 2024-12-11T12:25:30Z | 2025-10-24T11:04:48Z | sentence-transformers | 106 | 0 | null | feature-extraction | {"parameters": {"F32": 3449624576}, "total": 3449624576} | [
".gitattributes",
"1_Pooling/config.json",
"README.md",
"config.json",
"config_sentence_transformers.json",
"configuration_gigarembed.py",
"model-00001-of-00003.safetensors",
"model-00002-of-00003.safetensors",
"model-00003-of-00003.safetensors",
"model.safetensors.index.json",
"modeling_gigarem... | 2cf0fdc97194aaedf10ac0e6bf798834acd31042 | [
"sentence-transformers",
"safetensors",
"gigarembed",
"feature-extraction",
"MTEB",
"transformers",
"custom_code",
"ru",
"en",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GigarEmbedModel"], "auto_map": {"AutoConfig": "configuration_gigarembed.GigarEmbedConfig", "AutoModel": "modeling_gigarembed.GigarEmbedModel"}, "model_type": "gigarembed", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{%- for message in messages -%}{{ message['content'] }}{%- if not loo... | {
"auto_model": "AutoModel",
"custom_class": "modeling_gigarembed.GigarEmbedModel",
"pipeline_tag": "feature-extraction",
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["ru", "en"], "library_name": "sentence-transformers", "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "feature-extraction", "tags": ["MTEB", "transformers"]} | ## Giga-Embeddings-instruct
- Base Decoder-only LLM: GigaChat-3b
- Pooling Type: Latent-Attention
- Embedding Dimension: 2048
## Использование
Ниже приведен пример кодирования запросов и текстов.
### Requirements
```bash
pip install -q transformers==4.48.0 sentence-transformers==5.1.1 datasets langchain_community l... | null | [
"mit"
] | null | [
"ru",
"en"
] | 3,449,624,576 | null | null | [
"GigarEmbedModel",
"AutoModel",
"modeling_gigarembed.GigarEmbedModel",
"gigarembed"
] | [
"feature-extraction"
] | [
"multimodal"
] | [
"text"
] | [
"embeddings"
] |
65829b1d38f102154fe070d9 | 88cd37e502d27a0a | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 88 | Yhyu13/LMCocktail-10.7B-v1 | Yhyu13 | null | 798 | 85,697 | False | 2023-12-20T07:43:25Z | 2023-12-23T11:10:44Z | transformers | 16 | 0 | null | text-generation | {"parameters": {"F16": 10731524096}, "total": 10731524096} | [
".gitattributes",
"README.md",
"alpaca_eval/chatgpt_fn_--SOLAR-10-7B-LMCocktail/alpaca_eval_log.txt",
"alpaca_eval/chatgpt_fn_--SOLAR-10-7B-LMCocktail/annotation_chatgpt_fn.json",
"alpaca_eval/chatgpt_fn_--SOLAR-10-7B-LMCocktail/leaderboard.csv",
"alpaca_eval/chatgpt_fn_--SOLAR-10-7B-LMCocktail/model_outp... | 79ec3a42118f0715666b86bacab2688b62e1433b | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:2311.13534",
"license:llama2",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}{% if message['content']%}{{'### System:\n' + message['content']+'\n\n'}}{% endif %}{% elif message['role'] == 'user' %}{{'### User:\... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "llama2", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # LM-cocktail 10.7B v1
This is a 50%-50% model of the SOLAR model and meow.
https://huggingface.co/upstage/SOLAR-10.7B-Instruct-v1.0
https://huggingface.co/rishiraj/meow
who rank #1 and #2 among models <13B in the https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard by 2023/12/20.
# Alpaca Eval
I am... | null | [
"llama2"
] | null | null | 10,731,524,096 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
64d93d3b887f55fb6e635a69 | db10cbe7f986673b | ef4806e2ade9022f | 32,100 | Unigram | null | true | true | true | true | 103 | Precompiled | Sequence | Metaspace | [
"Precompiled"
] | [
"WhitespaceSplit",
"Metaspace"
] | [
"Metaspace"
] | 986 | khhuang/zerofec-daqa-t5-base | khhuang | null | 6 | 81,123 | False | 2023-08-13T20:29:47Z | 2023-08-31T18:20:09Z | transformers | 3 | 0 | null | null | {"parameters": {"F32": 222903552}, "total": 222903552} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"optimizer.pt",
"pytorch_model.bin",
"rng_state_0.pth",
"scaler.pt",
"scheduler.pt",
"special_tokens_map.json",
"spiece.model",
"tokenizer.json",
"tokenizer_config.json",
"trainer_state.json",
"training_args.bin"
] | 99403f6e70abe563de74bd97d0eb69b903dccb91 | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"en",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["T5ForConditionalGeneration"], "model_type": "t5", "tokenizer_config": {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": "en", "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null, "widget": [{"text": "What is Night of the Living Dead? \\n Night of the Living Dead i... | # Domain-adapted QA Model From ZeroFEC
ZeroFEC is a faithful and interpetable factual error correction framework introduced in the paper [Zero-shot Faithful Factual Error Correction](https://aclanthology.org/2023.acl-long.311/). It involves a QA component, which is a UnifiedQA model continue fine-tuned on two additio... | null | null | null | [
"en"
] | 222,903,552 | null | null | [
"t5",
"T5ForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation"
] | null | null | null |
621ffdc136468d709f17a847 | 06f29accdd3d2e59 | ef4806e2ade9022f | 32,100 | Unigram | null | true | true | true | true | 103 | Sequence | Metaspace | Metaspace | [
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 410 | doc2query/all-with_prefix-t5-base-v1 | doc2query | null | 1,893 | 84,768 | False | 2022-03-02T23:29:05Z | 2021-10-19T12:52:47Z | transformers | 10 | 0 | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"data_config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"spiece.model",
"tokenizer.json",
"tokenizer_config.json",
"train_script.py",
"trainer_state.json"
] | 453aa7323e8efa07ef1d48af9e2285391285f8a0 | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:sentence-transformers/reddit-title-body",
"dataset:sentence-transformers/embedding-training-data",
"arxiv:1904.08375",
"arxiv:2104.08663",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"regio... | null | {"architectures": ["T5ForConditionalGeneration"], "model_type": "t5", "tokenizer_config": {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["sentence-transformers/reddit-title-body", "sentence-transformers/embedding-training-data"], "eval_results": null, "language": "en", "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "ta... | # doc2query/all-with_prefix-t5-base-v1
This is a [doc2query](https://arxiv.org/abs/1904.08375) model based on T5 (also known as [docT5query](https://cs.uwaterloo.ca/~jimmylin/publications/Nogueira_Lin_2019_docTTTTTquery-v2.pdf)).
It can be used for:
- **Document expansion**: You generate for your paragraphs 20-4... | null | [
"apache-2.0"
] | [
"sentence-transformers/reddit-title-body",
"sentence-transformers/embedding-training-data"
] | [
"en"
] | null | null | null | [
"t5",
"T5ForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation"
] | null | null | null |
640df19da39323bf24aa9965 | ddc1d5ccc5ed2b57 | 46876be4b5f962ba | 32,101 | Unigram | null | true | true | true | true | 104 | Precompiled | Sequence | Metaspace | [
"Precompiled"
] | [
"WhitespaceSplit",
"Metaspace"
] | [
"Metaspace"
] | 1,030 | potsawee/t5-large-generation-squad-QuestionAnswer | potsawee | null | 524 | 83,040 | False | 2023-03-12T15:37:01Z | 2023-03-12T16:08:15Z | transformers | 49 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"spiece.model",
"tokenizer.json",
"tokenizer_config.json"
] | 08bd3086b3327b2f1b760a4e371e2b921202ef93 | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"en",
"dataset:squad",
"arxiv:2301.12307",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["T5ForConditionalGeneration"], "model_type": "t5", "tokenizer_config": {"eos_token": "</s>", "pad_token": "<pad>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["squad"], "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text2text-generation", "tags": null} | # t5-large fine-tuned to SQuAD for Generating Question+Answer
- Input: `context` (e.g. news article)
- Output: `question <sep> answer`
The answers in the training data (SQuAD) are highly extractive; therefore, this model will generate **extractive** answers. If you would like to have **abstractive** questions/answers,... | null | [
"apache-2.0"
] | [
"squad"
] | [
"en"
] | null | null | null | [
"t5",
"T5ForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation",
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6732b6cc9e05f3e2572d1d0f | 643d190440f20cd9 | 84110b1ed2b9294f | 151,666 | BPE | 151,387 | true | true | true | true | 23 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 493 | unsloth/Qwen2.5-Coder-32B-Instruct-bnb-4bit | unsloth | {
"models": [
{
"_id": "672b1f9e956e6880fdb8c1e5",
"id": "Qwen/Qwen2.5-Coder-32B-Instruct"
}
],
"relation": "quantized"
} | 5,402 | 104,970 | False | 2024-11-12T02:00:44Z | 2024-11-12T09:54:05Z | transformers | 6 | 0 | null | text-generation | {"parameters": {"F32": 2026496, "BF16": 1558254592, "U8": 32180952064}, "total": 33741233152} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"special_to... | 89e52be6bf3252ffa41a6db933aeba59230848dd | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"unsloth",
"code",
"qwen",
"qwen-coder",
"codeqwen",
"conversational",
"en",
"arxiv:2409.12186",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-Coder-32B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-Coder-32B-Instruct",
"license... | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "quantization_config": {"load_in_4bit": true, "load_in_8bit": false, "quant_method": "bitsandbytes"}, "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "Qwen/Qwen2.5-Coder-32B-Instruct", "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["unsloth", "transformers", "code", "qwen"... | # Finetune Llama 3.1, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth!
We have a Qwen 2.5 (all model sizes) [free Google Colab Tesla T4 notebook](https://colab.research.google.com/drive/1Kose-ucXO1IBaZq5BvbwWieuubP7hxvQ?usp=sharing).
Also a [Qwen 2.5 conversational style notebook](https://colab.research.... | null | [
"apache-2.0"
] | null | [
"en"
] | 33,741,233,152 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
64705ec93df93fddecdca9ef | 63f54837f1a489f8 | 07ae163ec241d8d4 | 52,000 | BPE | 51,740 | true | true | true | true | 4 | NFKC | ByteLevel | ByteLevel | [
"NFKC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 942 | beomi/KoRWKV-6B | beomi | null | 1,532 | 89,345 | False | 2023-05-26T07:24:57Z | 2023-07-20T01:07:48Z | transformers | 3 | 0 | null | text-generation | {"parameters": {"BF16": 6534168576}, "total": 6534168576} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00015.safetensors",
"model-00002-of-00015.safetensors",
"model-00003-of-00015.safetensors",
"model-00004-of-00015.safetensors",
"model-00005-of-00015.safetensors",
"model-00006-of-00015.safetensors",
"model-0... | 541600070459baf0f1be9560181d5ceb77794085 | [
"transformers",
"pytorch",
"safetensors",
"rwkv",
"text-generation",
"KoRWKV",
"ko",
"doi:10.57967/hf/1292",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RwkvForCausalLM"], "model_type": "rwkv", "tokenizer_config": {"bos_token": "<|sep|>", "eos_token": "<|endoftext|>", "pad_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["ko"], "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["KoRWKV"]} | > Instruction-Finetuned model is available at [beomi/KoAlpaca-KoRWKV-6B](https://huggingface.co/beomi/KoAlpaca-KoRWKV-6B)
# KoRWKV Model Card
KoRWKV (6B) trained on Korean dataset with RWKVv4 Neo Architecture.
## Model details
**Researcher developing the model**
Junbum Lee (aka Beomi)
**Model date**
KoRWKV was t... | null | [
"mit"
] | null | [
"ko"
] | 6,534,168,576 | null | null | [
"AutoModelForCausalLM",
"rwkv",
"RwkvForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65d4266cea28ba508b7ca5d2 | 83bf28f8b6767a2f | ae88e903e2b563a1 | 50,295 | BPE | 50,000 | false | true | true | true | 39 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 85 | BAAI/Bunny-v1_0-3B | BAAI | null | 687 | 86,674 | False | 2024-02-20T04:11:24Z | 2024-11-28T14:02:23Z | transformers | 42 | 0 | null | text-generation | {"parameters": {"F16": 3182254624}, "total": 3182254624} | [
".gitattributes",
"README.md",
"added_tokens.json",
"comparison.png",
"config.json",
"configuration_bunny_phi.py",
"generation_config.json",
"icon.png",
"images/example_1.png",
"images/example_2.png",
"merges.txt",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"mo... | 0958a104bd39a448fc310b3d1b1fc3d398dc3fcb | [
"transformers",
"safetensors",
"bunny-phi",
"text-generation",
"custom_code",
"arxiv:2402.11530",
"license:apache-2.0",
"region:us"
] | null | {"architectures": ["BunnyPhiForCausalLM"], "auto_map": {"AutoConfig": "configuration_bunny_phi.BunnyPhiConfig", "AutoModelForCausalLM": "modeling_bunny_phi.BunnyPhiForCausalLM"}, "model_type": "bunny-phi", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "modeling_bunny_phi.BunnyPhiForCausalLM",
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null, "inference": false} | # Model Card
<p align="center">
<img src="./icon.png" alt="Logo" width="350">
</p>
📖 [Technical report](https://arxiv.org/abs/2402.11530) | 🏠 [Code](https://github.com/BAAI-DCAI/Bunny) | 🐰 [Demo](http://bunny.baai.ac.cn)
This is the merged weights of [bunny-phi-2-siglip-lora](https://huggingface.co/BAAI/bunny-p... | null | [
"apache-2.0"
] | null | null | 3,182,254,624 | null | null | [
"modeling_bunny_phi.BunnyPhiForCausalLM",
"AutoModelForCausalLM",
"bunny-phi",
"BunnyPhiForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
670241487bf9e1a99ef672de | 6e6a83dc4b556c95 | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 111 | rombodawg/rombos_Replete-Coder-Llama3-8B | rombodawg | null | 8,421 | 122,346 | False | 2024-10-06T07:50:32Z | 2024-10-06T07:50:33Z | transformers | 3 | 0 | [{"name": "Replete-Coder-llama3-8b", "results": [{"task": {"name": "HumanEval", "type": "text-generation"}, "dataset": {"type": "openai_humaneval", "name": "HumanEval"}, "metrics": [{"name": "pass@1", "type": "pass@1", "value": 0.6468383584267833, "verified": false}]}, {"task": {"name": "AI2 Reasoning Challenge", "type... | text-generation | {"parameters": {"BF16": 8030261248}, "total": 8030261248} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"... | 938a45789cf94821ef6b12c98dc76622a0fa936a | [
"transformers",
"safetensors",
"llama",
"text-generation",
"text-generation-inference",
"unsloth",
"conversational",
"dataset:Replete-AI/code_bagel_hermes-2.5",
"dataset:Replete-AI/code_bagel",
"dataset:Replete-AI/OpenHermes-2.5-Uncensored",
"dataset:teknium/OpenHermes-2.5",
"dataset:layoric/t... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "eos_token": "<|end_of_text|>", "chat_template": "{% if not add_generation_prompt is defined %}\n{% set add_generation_prompt = false %}\n{% endif %}\n{%- set ns = namespace(found=false) -%}\n{%- for me... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"datasets": ["Replete-AI/code_bagel_hermes-2.5", "Replete-AI/code_bagel", "Replete-AI/OpenHermes-2.5-Uncensored", "teknium/OpenHermes-2.5", "layoric/tiny-codes-alpaca", "glaiveai/glaive-code-assistant-v3", "ajibawa-2023/Code-290k-ShareGPT", "TIGER-Lab/MathInstruct", "chargoddard/commitpack-ft-instruct-rated", "iamturu... | # Replete-Coder-llama3-8b
Finetuned by: Rombodawg
### More than just a coding model!
Although Replete-Coder has amazing coding capabilities, its trained on vaste amount of non-coding data, fully cleaned and uncensored. Dont just use it for coding, use it for all your needs! We are truly trying to make the GPT killer!
!... | null | [
"other",
"llama-3",
"https://llama.meta.com/llama3/license/"
] | [
"Replete-AI/code_bagel_hermes-2.5",
"Replete-AI/code_bagel",
"Replete-AI/OpenHermes-2.5-Uncensored",
"teknium/OpenHermes-2.5",
"layoric/tiny-codes-alpaca",
"glaiveai/glaive-code-assistant-v3",
"ajibawa-2023/Code-290k-ShareGPT",
"TIGER-Lab/MathInstruct",
"chargoddard/commitpack-ft-instruct-rated",
... | null | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
651b7578650b79ca135390bd | 88549391c066bf8b | 3bb26c6988ff96bd | 36,096 | BPE | 67,886 | true | true | true | true | 99 | Sequence | Metaspace | Metaspace | [
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 1,031 | haruyuu/viT5_han-vie_v1.1 | haruyuu | null | 8 | 11 | False | 2023-10-03T01:59:20Z | 2023-10-11T03:32:40Z | transformers | 0 | 0 | null | translation | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"map.json",
"pytorch_model.bin",
"special_tokens_map.json",
"spiece.model",
"tokenizer.json",
"tokenizer_config.json",
"viT5_han-vie_v1-decoder-quantized.onnx",
"viT5_han-vie_v1-encoder-quantized.onnx",
"viT5_han-vie_v1-... | 8d92297f9df3d9f5ba32505deaf39af416a5cfbe | [
"transformers",
"pytorch",
"onnx",
"t5",
"text2text-generation",
"translation",
"vi",
"zh",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["T5ForConditionalGeneration"], "model_type": "t5", "tokenizer_config": {"eos_token": "</s>", "pad_token": "<pad>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["vi", "zh"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["bleu"], "model_name": null, "pipeline_tag": "translation", "tags": null} | # viT5 for Sino-Vietnamese transliteration
<!-- Provide a quick summary of what the model is/does. -->
Finetuned model from viT5 for Chinese MMORPG translation.
# Model Description
<!-- Provide a longer summary of what this model is. -->
Enhanced version from version 1.0 with larger dataset.
# Uses
### Default
<!... | null | [
"apache-2.0"
] | null | [
"vi",
"zh"
] | null | null | [
"bleu"
] | [
"t5",
"T5ForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation",
"translation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.