_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 ⌀ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
65986a162ca1fbfe1c21611d | 8a2ab6d0c7c90c45 | 94e8ac807f758b5c | 50,000 | BPE | 46,638 | true | false | true | false | 2 | Sequence | null | null | [
"StripAccents",
"Replace",
"Replace",
"Replace",
"Replace"
] | null | null | 884 | claudios/VulBERTa-MLP-ReVeal | claudios | null | 33 | 94,923 | False | 2024-01-05T20:44:06Z | 2024-05-22T03:31:41Z | transformers | 1 | 0 | [{"name": "VulBERTa MLP", "results": [{"task": {"type": "defect-detection"}, "dataset": {"name": "codexglue-devign", "type": "codexglue-devign"}, "metrics": [{"name": "Accuracy", "type": "Accuracy", "value": 64.71, "verified": false}, {"name": "Precision", "type": "Precision", "value": 64.8, "verified": false}, {"name"... | text-classification | {"parameters": {"F32": 124836866}, "total": 124836866} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenization_vulberta.py",
"tokenizer.json",
"tokenizer_config.json"
] | 0f5bd3e1bcaed1d308601e76c65453239e9f2921 | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"devign",
"defect detection",
"code",
"dataset:code_x_glue_cc_defect_detection",
"license:mit",
"model-index",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForSequenceClassification"], "model_type": "roberta", "tokenizer_config": {"pad_token": "<pad>"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"datasets": ["code_x_glue_cc_defect_detection"], "license": "mit", "metrics": ["accuracy", "precision", "recall", "f1", "roc_auc"], "pipeline_tag": "text-classification", "tags": ["devign", "defect detection", "code"], "arxiv": 2205.12424, "model-index": [{"name": "VulBERTa MLP", "results": [{"task": {"type": "defect-... | # VulBERTa MLP Devign
## VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection
## Overview
This model is the unofficial HuggingFace version of "[VulBERTa](https://github.com/ICL-ml4csec/VulBERTa/tree/main)... | null | [
"mit"
] | [
"code_x_glue_cc_defect_detection"
] | null | 124,836,866 | null | [
"accuracy",
"precision",
"recall",
"f1",
"roc_auc"
] | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
67b6702d21ddb8a7b1c1f210 | 1e0a2493163c0c63 | 6622292dca275a2d | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 18 | qqlabs/llama3_1_relevance_dev | qqlabs | null | 13,079 | 144,058 | False | 2025-02-19T23:58:37Z | 2025-02-20T00:02:07Z | transformers | 1 | 0 | null | text-generation | {"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",
"... | 7930da907626f89898bfd65002a4e2aa199fbbc0 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "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 %}\n {%- set tools_in_user_messag... | {
"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": 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 | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6778084a9cc2c026bc195212 | 7967e1fae39d98e0 | 75b5e47a4b00191e | 151,655 | BPE | 151,387 | true | true | true | true | 12 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 57 | osunlp/UGround-V1-2B | osunlp | {
"models": [
{
"_id": "66d95a65e83856057c631778",
"id": "Qwen/Qwen2-VL-2B"
}
],
"relation": "finetune"
} | 1,291 | 101,740 | False | 2025-01-03T15:54:50Z | 2025-02-16T20:03:27Z | transformers | 10 | 0 | null | image-text-to-text | {"parameters": {"BF16": 2208985600}, "total": 2208985600} | [
".gitattributes",
"LICENSE",
"README.md",
"chat_template.json",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"preprocessor_config.json",
"pytorch_model.bin",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | ea7109f9573e5d8ee5170e425bd1fd73f2020e06 | [
"transformers",
"pytorch",
"safetensors",
"qwen2_vl",
"image-text-to-text",
"multimodal",
"conversational",
"en",
"arxiv:2410.05243",
"arxiv:2401.01614",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen2-VL-2B",
"base_model:finetune:Qwen/Qwen2-VL-2B",
"license:apache-2.0",
... | 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": ["Qwen/Qwen2-VL-2B"], "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"]} | # UGround-V1-2B （Qwen2-VL-Based)
UGround is a strong GUI visual grounding model trained with a simple recipe. Check our homepage and paper for more details. This work is a collaboration between [OSUNLP](https://x.com/osunlp) and [Orby AI](https://www.orby.ai/).
![radar](https://osu-nlp-group.github.io/UGround/static/i... | null | [
"apache-2.0"
] | null | [
"en"
] | 2,208,985,600 | null | null | [
"AutoModelForImageTextToText",
"qwen2_vl",
"Qwen2VLForConditionalGeneration"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
645a0ae2b7bfdeec4f76c34e | e2ac746b464fbda0 | 7c18fa8b6cc1f58a | 49,156 | BPE | 48,891 | false | true | false | true | 23 | null | Sequence | ByteLevel | null | [
"Digits",
"ByteLevel"
] | [
"ByteLevel"
] | 194 | HuggingFaceH4/starchat-alpha | HuggingFaceH4 | null | 868 | 99,556 | False | 2023-05-09T08:57:06Z | 2023-06-08T21:15:30Z | transformers | 230 | 0 | null | text-generation | {"parameters": {"F16": 15517480960}, "total": 15517480960} | [
".gitattributes",
"README.md",
"TRAINER_README.md",
"added_tokens.json",
"all_results.json",
"config.json",
"dialogue_template.json",
"eval_results.json",
"generation_config.json",
"handler.py",
"merges.txt",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00... | b693a7a7d52bed1cd7cc0fe00399db838b09c74f | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"gpt_bigcode",
"text-generation",
"code",
"en",
"dataset:OpenAssistant/oasst1",
"dataset:databricks/databricks-dolly-15k",
"license:bigcode-openrail-m",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPTBigCodeForCausalLM"], "model_type": "gpt_bigcode", "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": ["OpenAssistant/oasst1", "databricks/databricks-dolly-15k"], "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "bigcode-openrail-m", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["code"]... | # Model Card for StarChat Alpha
<!-- Provide a quick summary of what the model is/does. -->
_Note, you may be interested in the Beta version of StarChat [here](https://huggingface.co/HuggingFaceH4/starchat-beta)._
StarChat is a series of language models that are fine-tuned from StarCoder to act as helpful coding assi... | null | [
"bigcode-openrail-m"
] | [
"OpenAssistant/oasst1",
"databricks/databricks-dolly-15k"
] | [
"en"
] | 15,517,480,960 | null | null | [
"gpt_bigcode",
"AutoModelForCausalLM",
"GPTBigCodeForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6600381157cc48d9d3744f3a | 0aea00f578e27edb | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 904 | CultriX/NeuralMona_MoE-4x7B | CultriX | {
"models": [
{
"_id": "65e30a8e630e2db2384ed976",
"id": "CultriX/MoNeuTrix-7B-v1"
},
{
"_id": "65d490cf4e358ce02a930c47",
"id": "CultriX/MonaTrix-v4"
},
{
"_id": "65cac35e19683f9817b73773",
"id": "mlabonne/OmniTruthyBeagle-7B-v0"
},
{
"_id": "65c6... | 7,982 | 133,028 | False | 2024-03-24T14:26:25Z | 2024-03-24T14:33:14Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"BF16": 24153690112}, "total": 24153690112} | [
".gitattributes",
"README.md",
"config.json",
"mergekit_moe_config.yml",
"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.index.json",
"special_to... | 869c5cafb3f5002a0d273621519e3f352418eded | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"moe",
"frankenmoe",
"merge",
"mergekit",
"lazymergekit",
"CultriX/MonaTrix-v4",
"mlabonne/OmniTruthyBeagle-7B-v0",
"CultriX/MoNeuTrix-7B-v1",
"paulml/OmniBeagleSquaredMBX-v3-7B",
"base_model:CultriX/MoNeuTrix-7B-v1",
"base_mod... | null | {"architectures": ["MixtralForCausalLM"], "model_type": "mixtral", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": "<s>", "unk_token": "<unk>", "use_default_system_prompt": false}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["CultriX/MonaTrix-v4", "mlabonne/OmniTruthyBeagle-7B-v0", "CultriX/MoNeuTrix-7B-v1", "paulml/OmniBeagleSquaredMBX-v3-7B"], "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": n... | # NeuralMona_MoE-4x7B
NeuralMona_MoE-4x7B is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [CultriX/MonaTrix-v4](https://huggingface.co/CultriX/MonaTrix-v4)
* [mlabonne/OmniTruthyBeagle-7B-v0](htt... | null | [
"apache-2.0"
] | null | null | 24,153,690,112 | null | null | [
"mixtral",
"MixtralForCausalLM",
"AutoModelForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
665d15f44d515c38cfc0d49c | bf9418c7d8efc609 | 49e81f1606c7d393 | 32,012 | BPE | 61,249 | true | false | true | true | 15 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 965 | dphn/dolphin-2.9.2-Phi-3-Medium-abliterated | dphn | {
"models": [
{
"_id": "662fd29735c16e0f0cda2242",
"id": "unsloth/Phi-3-mini-4k-instruct"
}
],
"relation": "finetune"
} | 7,858 | 132,487 | False | 2024-06-03T01:01:40Z | 2024-06-03T01:04:53Z | transformers | 21 | 0 | null | text-generation | {"parameters": {"BF16": 13960238080}, "total": 13960238080} | [
".gitattributes",
"README.md",
"added_tokens.json",
"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.s... | d50be5f22ca9745a2a3175996611d6a840318b7f | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"en",
"dataset:cognitivecomputations/Dolphin-2.9.2",
"dataset:teknium/OpenHermes-2.5",
"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"dataset:cognitivecomputations/dolphin-coder",
"dataset:cognitivecomputations/s... | 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": ["unsloth/Phi-3-mini-4k-instruct"], "datasets": ["cognitivecomputations/Dolphin-2.9.2", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "microsoft/orca-math-word-problems-200k", "internlm/Agent-FLAN", "cogn... | null | null | [
"mit"
] | [
"cognitivecomputations/Dolphin-2.9.2",
"teknium/OpenHermes-2.5",
"m-a-p/CodeFeedback-Filtered-Instruction",
"cognitivecomputations/dolphin-coder",
"cognitivecomputations/samantha-data",
"microsoft/orca-math-word-problems-200k",
"internlm/Agent-FLAN",
"cognitivecomputations/SystemChat-2.0"
] | [
"en"
] | 13,960,238,080 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66eb43837f17088991d2460b | 848b60b6cd304b65 | ffc911e785abe60e | 151,665 | BPE | 151,387 | true | true | true | true | 22 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 15 | unsloth/Qwen2.5-3B | unsloth | {
"models": [
{
"_id": "66e6d03f69d1083dd982a18c",
"id": "Qwen/Qwen2.5-3B"
}
],
"relation": "finetune"
} | 4,469 | 108,250 | False | 2024-09-18T21:17:55Z | 2025-04-28T04:13:47Z | transformers | 6 | 0 | null | text-generation | {"parameters": {"BF16": 3085938688}, "total": 3085938688} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json... | 3c7546355e7d433d525baecc3c1056624c617b3b | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"unsloth",
"zho",
"eng",
"fra",
"spa",
"por",
"deu",
"ita",
"rus",
"jpn",
"kor",
"vie",
"tha",
"ara",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-3B",
"base_model:finetune:Qwen/Qwen2.5-3B",
"license:other",
"text... | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "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/Qwen2.5-3B", "datasets": null, "eval_results": null, "language": ["zho", "eng", "fra", "spa", "por", "deu", "ita", "rus", "jpn", "kor", "vie", "tha", "ara"], "library_name": "transformers", "license": "other", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipelin... | # 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.resear... | null | [
"other"
] | null | [
"zho",
"eng",
"fra",
"spa",
"por",
"deu",
"ita",
"rus",
"jpn",
"kor",
"vie",
"tha",
"ara"
] | 3,085,938,688 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
64cd79b37a7305c589e61ce0 | e23b6bdbe047bb7e | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 46 | garage-bAInd/Platypus2-70B-instruct | garage-bAInd | null | 2,604 | 107,770 | False | 2023-08-04T22:20:35Z | 2024-01-04T01:09:39Z | transformers | 173 | 0 | null | text-generation | {"parameters": {"F16": 68976648192, "F32": 5120}, "total": 68976653312} | [
".gitattributes",
"Best_Platty_small.jpeg",
"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-00... | 31389b50953688e4e542be53e6d2ab04d5c34e87 | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"en",
"dataset:garage-bAInd/Open-Platypus",
"dataset:Open-Orca/OpenOrca",
"arxiv:2308.07317",
"arxiv:2307.09288",
"license:cc-by-nc-4.0",
"text-generation-inference",
"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": ["garage-bAInd/Open-Platypus", "Open-Orca/OpenOrca"], "eval_results": null, "language": ["en"], "library_name": null, "license": "cc-by-nc-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # Platypus2-70B-instruct
Platypus-70B-instruct is a merge of [`garage-bAInd/Platypus2-70B`](https://huggingface.co/garage-bAInd/Platypus2-70B) and [`upstage/Llama-2-70b-instruct-v2`](https://huggingface.co/upstage/Llama-2-70b-instruct-v2).
### Model Details
* **Trained by**: **Pl... | null | [
"cc-by-nc-4.0"
] | [
"garage-bAInd/Open-Platypus",
"Open-Orca/OpenOrca"
] | [
"en"
] | 68,976,653,312 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6641d2a9de4ccb4cbbb30f94 | cf5cf3c3b9baa092 | 711173a19e789885 | 84,608 | BPE | 85,122 | true | false | true | true | 6 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 966 | vaiv/GeM2-Llamion-14B-Chat | vaiv | null | 7,864 | 132,342 | False | 2024-05-13T08:43:21Z | 2024-06-04T01:49:33Z | transformers | 1 | 0 | null | text-generation | {"parameters": {"BF16": 14498288640}, "total": 14498288640} | [
".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... | c7489992eca5c8895da82913d9124123b11fbda3 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:apache-2.0",
"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": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # **GeM2-Llamion-14B**
We have released **Llamion** as **GeM 2.0**, the second series of generative models developed by VAIV Company to address the our principal business needs.
**Llamion** (Llamafied Orion) is derived from transforming the [Orion model](https://huggingface.co/OrionStarAI/Orion-14B-Chat)
into [the st... | null | [
"apache-2.0"
] | null | null | 14,498,288,640 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6392af74dd98aba45af3c28d | 7ca70421579da9a5 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 504 | Gladiator/roberta-large_ner_conll2003 | Gladiator | null | 555 | 104,737 | False | 2022-12-09T03:45:56Z | 2022-12-09T04:24:37Z | transformers | 0 | 0 | [{"name": "roberta-large_ner_conll2003", "results": [{"task": {"name": "Token Classification", "type": "token-classification"}, "dataset": {"name": "conll2003", "type": "conll2003", "args": "conll2003"}, "metrics": [{"name": "Precision", "type": "precision", "value": 0.9622389306599833, "verified": false}, {"name": "Re... | token-classification | null | [
".gitattributes",
".gitignore",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"runs/Dec09_03-45-49_a066275cb840/1670557561.6864982/events.out.tfevents.1670557561.a066275cb840.23.1",
"runs/Dec09_03-45-49_a066275cb840/events.out.tfevents.1670557561.a066275cb840.23.0",
"special_tokens_... | 01671e6e3024cb4e85d539bd75ffcf64edaf924d | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"token-classification",
"generated_from_trainer",
"dataset:conll2003",
"license:mit",
"model-index",
"endpoints_compatible",
"region:us"
] | 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"
} | {"datasets": ["conll2003"], "license": "mit", "metrics": ["precision", "recall", "f1", "accuracy"], "tags": ["generated_from_trainer"], "model-index": [{"name": "roberta-large_ner_conll2003", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"name": "conll2003", "type": ... | <!-- 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-large_ner_conll2003
This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the co... | null | [
"mit"
] | [
"conll2003"
] | null | null | null | [
"precision",
"recall",
"f1",
"accuracy"
] | [
"roberta",
"AutoModelForTokenClassification",
"RobertaForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
64ed0427a79cf4a895eb53c9 | 8a5ed303ac35025e | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 945 | TheBloke/Phind-CodeLlama-34B-v2-GPTQ | TheBloke | {
"models": [
{
"_id": "64ed11a5bae642629c5de3fd",
"id": "Phind/Phind-CodeLlama-34B-v2"
}
],
"relation": "quantized"
} | 33 | 94,706 | False | 2023-08-28T20:31:35Z | 2023-09-27T12:46:32Z | transformers | 90 | 0 | [{"name": "Phind-CodeLlama-34B-v1", "results": [{"task": {"type": "text-generation"}, "dataset": {"name": "HumanEval", "type": "openai_humaneval"}, "metrics": [{"type": "pass@1", "value": "73.8%", "name": "pass@1", "verified": false}]}]}] | text-generation | null | [
".gitattributes",
"LICENSE.txt",
"Notice",
"README.md",
"USE_POLICY.md",
"config.json",
"generation_config.json",
"model.safetensors",
"quantize_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | 26cc00c816a00b08a5eaf91a45d7fba007d30154 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"code llama",
"base_model:Phind/Phind-CodeLlama-34B-v2",
"base_model:quantized:Phind/Phind-CodeLlama-34B-v2",
"license:llama2",
"model-index",
"text-generation-inference",
"4-bit",
"gptq",
"region:us"
] | 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": "Phind/Phind-CodeLlama-34B-v2", "license": "llama2", "tags": ["code llama"], "inference": false, "model_creator": "Phind", "model_type": "llama", "prompt_template": "### System Prompt\n{system_message}\n\n### User Message\n{prompt}\n\n### Assistant\n", "quantized_by": "TheBloke", "model-index": [{"name":... | <!-- 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 | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc136468d709f17b613 | ed7b346ae536b711 | 7135f15e02b88987 | 96,103 | Unigram | null | true | true | true | true | 7 | Sequence | Sequence | Metaspace | [
"Precompiled",
"Replace"
] | [
"WhitespaceSplit",
"Metaspace"
] | [
"Metaspace"
] | 440 | google/bigbird-pegasus-large-pubmed | google | null | 675 | 98,297 | False | 2022-03-02T23:29:05Z | 2023-01-24T16:36:47Z | transformers | 47 | 0 | [{"name": "google/bigbird-pegasus-large-pubmed", "results": [{"task": {"type": "summarization", "name": "Summarization"}, "dataset": {"name": "scientific_papers", "type": "scientific_papers", "config": "pubmed", "split": "test"}, "metrics": [{"name": "ROUGE-1", "type": "rouge", "value": 40.8966, "verified": false}, {"n... | summarization | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"spiece.model",
"tokenizer.json",
"tokenizer_config.json"
] | b33e0e2823c2195c87d877373285d3e9efb2e3f4 | [
"transformers",
"pytorch",
"bigbird_pegasus",
"text2text-generation",
"summarization",
"en",
"dataset:scientific_papers",
"arxiv:2007.14062",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BigBirdPegasusForConditionalGeneration"], "model_type": "bigbird_pegasus", "tokenizer_config": {"pad_token": {"content": "<pad>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "</s>", "single_word": false, "lstrip": fals... | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | {"datasets": ["scientific_papers"], "language": "en", "license": "apache-2.0", "tags": ["summarization"], "model-index": [{"name": "google/bigbird-pegasus-large-pubmed", "results": [{"task": {"type": "summarization", "name": "Summarization"}, "dataset": {"name": "scientific_papers", "type": "scientific_papers", "config... | # BigBirdPegasus model (large)
BigBird, is a sparse-attention based transformer which extends Transformer based models, such as BERT to much longer sequences. Moreover, BigBird comes along with a theoretical understanding of the capabilities of a complete transformer that the sparse model can handle.
BigBird was int... | null | [
"apache-2.0"
] | [
"scientific_papers"
] | [
"en"
] | null | null | null | [
"bigbird_pegasus",
"BigBirdPegasusForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation",
"summarization"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc136468d709f17f00d | d9a837c5fbfa53fc | 5f9f736c7dc6fbfa | 28,996 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 967 | pritamdeka/S-BioBert-snli-multinli-stsb | pritamdeka | null | 52,537 | 277,036 | False | 2022-03-02T23:29:05Z | 2022-09-21T18:59:33Z | sentence-transformers | 11 | 0 | null | sentence-similarity | null | [
".gitattributes",
"1_Pooling/config.json",
"README.md",
"config.json",
"config_sentence_transformers.json",
"eval/similarity_evaluation_sts-dev_results.csv",
"modules.json",
"pytorch_model.bin",
"sentence_bert_config.json",
"similarity_evaluation_sts-test_results.csv",
"special_tokens_map.json",... | 21e0a553d5ef08802bacbd8331dfb93b5299c151 | [
"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-BioBert-snli-multinli-stsb
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 bec... | null | null | null | null | null | null | null | [
"BertModel",
"AutoModel",
"bert"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
63d2877e1cfb0d40cbface21 | fc29ccd738d51f6b | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 1 | pszemraj/electra-base-discriminator-CoLA | pszemraj | null | 100 | 95,695 | False | 2023-01-26T14:00:30Z | 2025-12-29T03:41:37Z | transformers | 0 | 0 | [{"name": "electra-base-discriminator-CoLA", "results": [{"task": {"name": "Text Classification", "type": "text-classification"}, "dataset": {"name": "GLUE COLA", "type": "glue", "config": "cola", "split": "validation", "args": "cola"}, "metrics": [{"name": "Matthews Correlation", "type": "matthews_correlation", "value... | text-classification | {"parameters": {"I64": 512, "F32": 109483778}, "total": 109484290} | [
".gitattributes",
".gitignore",
"README.md",
"all_results.json",
"config.json",
"eval_results.json",
"model.onnx",
"model.safetensors",
"predict_results_cola.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"train_results.json",
"trainer_st... | 55a50d6fe0906e95669b5558ab9ae7e71565e45e | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"electra",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["ElectraForSequenceClassification"], "model_type": "electra", "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"
} | {"datasets": ["glue"], "language": ["en"], "license": "apache-2.0", "metrics": ["matthews_correlation"], "tags": ["generated_from_trainer"], "widget": [{"text": "The cat sat on the mat.", "example_title": "Correct grammatical sentence"}, {"text": "Me and my friend going to the store.", "example_title": "Incorrect subje... | # electra-base-discriminator-CoLA
This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on the GLUE COLA dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3542
- Matthews Correlation: 0.6580
## Model description
T... | null | [
"apache-2.0"
] | [
"glue"
] | [
"en"
] | 109,484,290 | null | [
"matthews_correlation"
] | [
"ElectraForSequenceClassification",
"AutoModelForSequenceClassification",
"electra"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
64a0dda4602340a14257e23d | 85c4a0556826f65f | 244621b26e3d0cd3 | 256,300 | Unigram | null | true | true | true | true | 304 | Sequence | Metaspace | Metaspace | [
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 608 | google/umt5-xxl | google | null | 62,064 | 234,910 | False | 2023-07-02T02:15:00Z | 2023-07-03T05:37:17Z | transformers | 59 | 1 | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"pytorch_model-00001-of-00006.bin",
"pytorch_model-00002-of-00006.bin",
"pytorch_model-00003-of-00006.bin",
"pytorch_model-00004-of-00006.bin",
"pytorch_model-00005-of-00006.bin",
"pytorch_model-00006-of-00006.bin",
"pytorch... | 66cb9e7e85526fe440a945569e42c72fb6cbc0ad | [
"transformers",
"pytorch",
"text2text-generation",
"multilingual",
"af",
"am",
"ar",
"az",
"be",
"bg",
"bn",
"ca",
"ceb",
"co",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fil",
"fr",
"fy",
"ga",
"gd",
"gl",
"gu",
"ha",
... | null | {"architectures": ["UMT5ForConditionalGeneration"], "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": "<pad>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": null
} | {"base_model": null, "datasets": ["mc4"], "eval_results": null, "language": ["multilingual", "af", "am", "ar", "az", "be", "bg", "bn", "ca", "ceb", "co", "cs", "cy", "da", "de", "el", "en", "eo", "es", "et", "eu", "fa", "fi", "fil", "fr", "fy", "ga", "gd", "gl", "gu", "ha", "haw", "hi", "hmn", "ht", "hu", "hy", "ig", "... | [Google's UMT5](https://github.com/google-research/multilingual-t5)
UMT5 is pretrained on the an updated version of [mC4](https://www.tensorflow.org/datasets/catalog/c4#c4multilingual) corpus, covering 107 languages:
Afrikaans, Albanian, Amharic, Arabic, Armenian, Azerbaijani, Basque, Belarusian, Bengali, Bulgarian, ... | null | [
"apache-2.0"
] | [
"mc4"
] | [
"multilingual",
"af",
"am",
"ar",
"az",
"be",
"bg",
"bn",
"ca",
"ceb",
"co",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fil",
"fr",
"fy",
"ga",
"gd",
"gl",
"gu",
"ha",
"haw",
"hi",
"hmn",
"ht",
"hu",
"hy",
"ig",
... | null | null | null | [
"AutoModelForSeq2SeqLM",
"UMT5ForConditionalGeneration"
] | [
"text2text-generation"
] | null | null | null |
629334cbfb6478d930d7b9dd | 71140a663949f258 | 8a01c02d4d0a401c | 119,547 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 9 | facebook/mcontriever | facebook | null | 1,104 | 110,899 | False | 2022-05-29T08:54:35Z | 2022-05-29T08:58:37Z | transformers | 4 | 0 | null | null | null | [
".gitattributes",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | c9ea3fd6b5c96290b4741884525afdb40cfa9932 | [
"transformers",
"pytorch",
"bert",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["Contriever"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "Contriever",
"custom_class": null,
"pipeline_tag": null,
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"Contriever",
"bert"
] | [
null
] | null | null | null |
64e78fca0bdc67d991706e4e | 271640fddfc1bd19 | 704a2955bcffd2d4 | 32,016 | BPE | 61,260 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 212 | NousResearch/CodeLlama-7b-hf | NousResearch | null | 1,487 | 102,298 | False | 2023-08-24T17:13:46Z | 2023-08-24T17:30:37Z | transformers | 3 | 0 | null | text-generation | null | [
".gitattributes",
"config.json",
"configuration_llama.py",
"generation_config.json",
"modeling_llama.py",
"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",
"tokenizer_config.js... | 855c92912ea4a8eb5f0be1db4bf776ffd0815dac | [
"transformers",
"pytorch",
"llama",
"text-generation",
"custom_code",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "auto_map": {"AutoConfig": "configuration_llama.LlamaConfig", "AutoModel": "modeling_llama.LlamaModel", "AutoModelForCausalLM": "modeling_llama.LlamaForCausalLM", "AutoModelForSequenceClassification": "modeling_llama.LlamaForSequenceClassification"}, "model_type": "llama", "token... | {
"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"
] |
6530001a4595a4beb1bf6610 | d07981250132d94d | 26bd248f67b5b4ad | 50,570 | Unigram | null | true | false | true | true | 8 | Sequence | null | Sequence | [
"Replace",
"Replace"
] | null | [
"ByteFallback",
"Replace",
"Fuse",
"Replace"
] | 968 | llm-jp/llm-jp-1.3b-v1.0 | llm-jp | null | 902 | 99,972 | False | 2023-10-18T15:56:10Z | 2023-10-20T08:20:49Z | transformers | 15 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 343b15a7bc3503145d4ae7882bbbf6fdc3953b85 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"en",
"ja",
"license:apache-2.0",
"text-generation-inference",
"deploy:azure",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": "<unk|LLM-jp>", "bos_token": "<s|LLM-jp>", "eos_token": "<EOD|LLM-jp>", "pad_token": "<pad|LLM-jp>", "cls_token": "<CLS|LLM-jp>", "sep_token": "<SEP|LLM-jp>", "mask_token": "<mask|LLM-jp>"}} | {
"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-1.3b-v1.0
This repository provides large language models developed by [LLM-jp](https://llm-jp.nii.ac.jp/), a collaborative project launched in Japan.
| Model Variant |
| :--- |
|**Instruction models**|
| [llm-jp-13b-instruct-full-jaster-v1.0](https://huggingface.co/llm-jp/llm-jp-13b-instruct-full-jaster-v1.... | null | [
"apache-2.0"
] | null | [
"en",
"ja"
] | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6646c59c2863e37a67e6497d | 3f287b04362fff24 | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 158 | migtissera/Llama-3-8B-Synthia-v3.5 | migtissera | null | 8,424 | 135,173 | False | 2024-05-17T02:49:00Z | 2024-06-02T01:06:30Z | transformers | 15 | 0 | null | text-generation | {"parameters": {"F16": 8030261248}, "total": 8030261248} | [
".gitattributes",
"README.md",
"Synthia-3.5.jpg",
"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",
... | af4990801a24fee7acf16370cb5aa5643b5e9d6c | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:llama3",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | 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 %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|s... | {
"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": "llama3", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # Llama-3-8B-Synthia-v3.5
Llama-3-8B-Synthia-v3.5 (Synthetic Intelligent Agent) is a general purpose Large Language Model (LLM). It was trained on the Synthia-v3.5 dataset that contains the varied system contexts, plus some other publicly available datasets.
It has been fine-tuned for instruction following as well as ... | null | [
"llama3"
] | null | null | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
642e0d9625c08a2cb4bfea9c | 84892a81d307796d | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 133 | Neko-Institute-of-Science/LLaMA-7B-HF | Neko-Institute-of-Science | null | 157 | 94,753 | False | 2023-04-06T00:08:54Z | 2023-04-15T15:04:28Z | transformers | 22 | 0 | null | text-generation | {"parameters": {"F32": 2048, "F16": 6738415616}, "total": 6738417664} | [
".gitattributes",
"LICENSE",
"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",
"sp... | d48acf89924d2ba95c25a987fc8ef710a5276e0e | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | 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": null, "eval_results": null, "language": null, "library_name": null, "license": "other", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | LLaMA converted to Transformers. This is under a special license, please see the LICENSE file for details.
# LLaMA Model Card
https://github.com/facebookresearch/llama/blob/main/MODEL_CARD.md
# Torrent 7-65B
Note: the torrent has outdated tokenizer_config.json and special_tokens_map.json. Replace them with the ones he... | null | [
"other"
] | null | null | 6,738,417,664 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6659462f55d0e530a7989036 | bf9418c7d8efc609 | 49e81f1606c7d393 | 32,012 | BPE | 61,249 | true | false | true | true | 15 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 965 | dphn/dolphin-2.9.2-Phi-3-Medium | dphn | {
"models": [
{
"_id": "662fd29735c16e0f0cda2242",
"id": "unsloth/Phi-3-mini-4k-instruct"
}
],
"relation": "finetune"
} | 7,758 | 131,806 | False | 2024-05-31T03:38:23Z | 2024-06-02T23:41:33Z | transformers | 25 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"axolotl.yml",
"config.json",
"generation_config.json",
"pytorch_model-00001-of-00006.bin",
"pytorch_model-00002-of-00006.bin",
"pytorch_model-00003-of-00006.bin",
"pytorch_model-00004-of-00006.bin",
"pytorch_model-00005-of-00006.bin",
"pytor... | 0470c5b912b51fa6e27d87a8ea7feafacd8cb101 | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"conversational",
"en",
"dataset:cognitivecomputations/Dolphin-2.9.2",
"dataset:teknium/OpenHermes-2.5",
"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"dataset:cognitivecomputations/dolphin-coder",
"dataset:cognitivecomputations/saman... | 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": ["unsloth/Phi-3-mini-4k-instruct"], "datasets": ["cognitivecomputations/Dolphin-2.9.2", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "microsoft/orca-math-word-problems-200k", "internlm/Agent-FLAN", "cogn... | null | null | [
"mit"
] | [
"cognitivecomputations/Dolphin-2.9.2",
"teknium/OpenHermes-2.5",
"m-a-p/CodeFeedback-Filtered-Instruction",
"cognitivecomputations/dolphin-coder",
"cognitivecomputations/samantha-data",
"microsoft/orca-math-word-problems-200k",
"internlm/Agent-FLAN",
"cognitivecomputations/SystemChat-2.0"
] | [
"en"
] | null | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc136468d709f17a0d3 | ee291bff3d5dc545 | 483fa5044ce5bdc8 | 50,500 | BPE | 50,000 | false | true | true | true | 240 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 292 | climatebert/distilroberta-base-climate-tcfd | climatebert | null | 227 | 95,529 | False | 2022-03-02T23:29:05Z | 2023-06-20T18:51:43Z | transformers | 2 | 0 | null | text-classification | {"parameters": {"I64": 514, "F32": 82301956}, "total": 82302470} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"merges.txt",
"model.safetensors",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 970630beedc21db81a84156448ad2e3ac860153d | [
"transformers",
"pytorch",
"safetensors",
"roberta",
"text-classification",
"climate",
"en",
"dataset:climatebert/tcfd_recommendations",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForSequenceClassification"], "model_type": "roberta", "tokenizer_config": {"unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": fa... | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["climatebert/tcfd_recommendations"], "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["accuracy"], "model_name": null, "pipeline_tag": null, "tags": ["climate"]} | # Model Card for distilroberta-base-climate-tcfd
## Model Description
This is the fine-tuned ClimateBERT language model with a classification head for classifying climate-related paragraphs into the four TCFD recommendation categories ([fsb-tcfd.org](https://www.fsb-tcfd.org)).
Using the [climatebert/distilroberta-b... | null | [
"apache-2.0"
] | [
"climatebert/tcfd_recommendations"
] | [
"en"
] | 82,302,470 | null | [
"accuracy"
] | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6454163772d331dec8a15584 | dab37a375cc83085 | ade5e378ce727196 | 32,001 | BPE | 61,249 | true | false | true | true | 4 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 197 | QuixiAI/WizardLM-7B-Uncensored | QuixiAI | null | 1,251 | 145,637 | False | 2023-05-04T20:31:51Z | 2024-01-30T20:53:57Z | transformers | 502 | 0 | null | text-generation | null | [
".gitattributes",
".gitignore",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | 7f640465f3403a4aac373609febb563b9d4ce127 | [
"transformers",
"pytorch",
"llama",
"text-generation",
"uncensored",
"dataset:ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | 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": ["ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered"], "eval_results": null, "language": null, "library_name": null, "license": "other", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["uncensored"]} | null | null | [
"other"
] | [
"ehartford/WizardLM_alpaca_evol_instruct_70k_unfiltered"
] | null | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6694b36b8f4f52fba257bd87 | 39b1e434a495263c | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 349 | Magpie-Align/Llama-3-8B-Magpie-Align-v0.3 | Magpie-Align | {
"models": [
{
"_id": "669207a83bd55e86d861533e",
"id": "Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.3"
}
],
"relation": "finetune"
} | 7,837 | 131,819 | False | 2024-07-15T05:28:11Z | 2024-08-19T21:07:11Z | transformers | 3 | 0 | [{"name": "Magpie-Align/Llama-3-8B-Magpie-Align-v0.3", "results": []}] | text-generation | {"parameters": {"BF16": 8030261248}, "total": 8030261248} | [
".gitattributes",
"README.md",
"all_results.json",
"config.json",
"eval_results.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",
"runs... | 02f10f3b8178465e0e4d2a09c04775310492821b | [
"transformers",
"tensorboard",
"safetensors",
"llama",
"text-generation",
"alignment-handbook",
"axolotl",
"trl",
"dpo",
"sft",
"generated_from_trainer",
"conversational",
"en",
"zh",
"dataset:princeton-nlp/llama3-ultrafeedback-armorm",
"dataset:Magpie-Align/Magpie-Pro-MT-300K-v0.1",
... | 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": "Magpie-Align/Llama-3-8B-Magpie-Align-SFT-v0.3", "datasets": ["princeton-nlp/llama3-ultrafeedback-armorm", "Magpie-Align/Magpie-Pro-MT-300K-v0.1", "Magpie-Align/Magpie-Reasoning-150K", "Magpie-Align/Magpie-Qwen2-Pro-200K-Chinese"], "eval_results": [], "language": ["en", "zh"], "library_name": null, "lice... | 
## 🔥 Chat with Magpie [Here](https://huggingface.co/spaces/flydust/Chat-with-Magpie)!
# 🐦 Llama-3-8B-Magpie-Align-v0.3
Project Web: [https://magpie-align.github.io/](https://magpie-align.github.io/)
... | null | [
"llama3"
] | [
"princeton-nlp/llama3-ultrafeedback-armorm",
"Magpie-Align/Magpie-Pro-MT-300K-v0.1",
"Magpie-Align/Magpie-Reasoning-150K",
"Magpie-Align/Magpie-Qwen2-Pro-200K-Chinese"
] | [
"en",
"zh"
] | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
62deee4401dd68486922d88d | 6b1dce282d6ce186 | ab089c4bfa2e1ada | 50,001 | Unigram | null | true | true | true | true | 5 | NFKC | Sequence | Metaspace | [
"NFKC"
] | [
"WhitespaceSplit",
"Metaspace"
] | [
"Metaspace"
] | 969 | sdadas/st-polish-paraphrase-from-distilroberta | sdadas | null | 13,725 | 134,579 | False | 2022-07-25T19:25:56Z | 2026-01-27T17:15:04Z | sentence-transformers | 4 | 0 | null | sentence-similarity | {"parameters": {"I64": 514, "F32": 124442880}, "total": 124443394} | [
".gitattributes",
"1_Pooling/config.json",
"README.md",
"config.json",
"config_sentence_transformers.json",
"model.safetensors",
"modules.json",
"pytorch_model.bin",
"sentence_bert_config.json",
"special_tokens_map.json",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"unigram.j... | f337a92e1d5e53abd5ecd76edc0e614e8e93d9ee | [
"sentence-transformers",
"pytorch",
"tf",
"safetensors",
"roberta",
"feature-extraction",
"sentence-similarity",
"transformers",
"pl",
"license:lgpl",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["RobertaModel"], "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": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["pl"], "library_name": null, "license": "lgpl", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "sentence-similarity", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity",... | # sdadas/st-polish-paraphrase-from-distilroberta
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)
Us... | null | [
"lgpl"
] | null | [
"pl"
] | 124,443,394 | null | null | [
"roberta",
"AutoModel",
"RobertaModel"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
647b5256b31514a4a6dac0aa | d3f34e62810cdb97 | 91785edaf5f6a173 | 32,003 | BPE | 61,249 | true | false | true | true | 6 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 154 | Salesforce/instructblip-vicuna-13b | Salesforce | null | 220 | 95,761 | False | 2023-06-03T14:46:46Z | 2025-02-03T06:42:06Z | transformers | 43 | 0 | null | image-text-to-text | {"parameters": {"F32": 14192093952}, "total": 14192093952} | [
".gitattributes",
"README.md",
"added_tokens.json",
"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.s... | 91271ed4920607b735c9925dfa495de6d012d16d | [
"transformers",
"pytorch",
"safetensors",
"instructblip",
"image-text-to-text",
"vision",
"image-captioning",
"en",
"arxiv:2305.06500",
"license:other",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["InstructBlipForConditionalGeneration"], "model_type": "instructblip", "tokenizer_config": {"bos_token": "</s>", "eos_token": "</s>", "pad_token": "[PAD]", "unk_token": "</s>", "use_default_system_prompt": false}} | {
"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": null, "license": "other", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": ["vision", "image-captioning"]} | # InstructBLIP model
InstructBLIP model using [Vicuna-13b](https://github.com/lm-sys/FastChat#model-weights) as language model. InstructBLIP was introduced in the paper [InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning](https://arxiv.org/abs/2305.06500) by Dai et al.
Disclaimer: Th... | null | [
"other"
] | null | [
"en"
] | 14,192,093,952 | null | null | [
"instructblip",
"InstructBlipForConditionalGeneration",
"AutoModelForImageTextToText"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
65c26365f484502c799497fa | 38cd1cf50eca287a | 7c4c85b636f4813b | 64,000 | BPE | 110,029 | true | false | true | true | 6 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 970 | CausalLM/34b-beta | CausalLM | null | 8,498 | 135,089 | False | 2024-02-06T16:50:45Z | 2024-05-25T14:32:29Z | transformers | 66 | 0 | null | text-generation | {"parameters": {"BF16": 34388917248}, "total": 34388917248} | [
".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... | 0429951eb30ccdfff3515e711aaa7649a8a7364c | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:gpl-3.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<s>", "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' }}{% endif %... | {
"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": "gpl-3.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # CausalLM 34B β
Demo: [](https://huggingface.co/spaces/JosephusCheung/CausalLM-34B-8-bit-GGUF)
## PROMPT FORMAT:
[chatml](https://github.com/openai/openai-python/blob/main/chatml.md)
There are some issues with the model weight... | null | [
"gpl-3.0"
] | null | null | 34,388,917,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
649f0763ca03a1a35e3343cf | cb3f886e13ad7505 | 1f1d26e73b02d1f3 | 49,152 | BPE | 48,891 | false | true | false | true | 19 | null | Sequence | ByteLevel | null | [
"Digits",
"ByteLevel"
] | [
"ByteLevel"
] | 70 | bigcode/starcoderbase-3b | bigcode | null | 925 | 101,419 | auto | 2023-06-30T16:48:35Z | 2023-06-30T17:05:55Z | transformers | 28 | 0 | [{"name": "StarCoderBase-3B", "results": [{"task": {"type": "text-generation"}, "dataset": {"type": "openai_humaneval", "name": "HumanEval"}, "metrics": [{"name": "pass@1", "type": "pass@1", "value": 21.46, "verified": false}]}, {"task": {"type": "text-generation"}, "dataset": {"type": "nuprl/MultiPL-E", "name": "Multi... | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"pytorch_model-00001-of-00002.bin",
"pytorch_model-00002-of-00002.bin",
"pytorch_model.bin.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | e1c5ef4ebb97afa0db09ec3e520f0487ca350bbe | [
"transformers",
"pytorch",
"gpt_bigcode",
"text-generation",
"code",
"dataset:bigcode/the-stack-dedup",
"arxiv:1911.02150",
"arxiv:2205.14135",
"arxiv:2207.14255",
"arxiv:2305.06161",
"license:bigcode-openrail-m",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"regio... | null | {"architectures": ["GPTBigCodeForCausalLM"], "model_type": "gpt_bigcode", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"datasets": ["bigcode/the-stack-dedup"], "library_name": "transformers", "license": "bigcode-openrail-m", "metrics": ["code_eval"], "pipeline_tag": "text-generation", "tags": ["code"], "inference": true, "widget": [{"text": "def print_hello_world():", "example_title": "Hello world", "group": "Python"}], "extra_gated_p... | null | null | [
"bigcode-openrail-m"
] | [
"bigcode/the-stack-dedup"
] | null | null | null | [
"code_eval"
] | [
"gpt_bigcode",
"AutoModelForCausalLM",
"GPTBigCodeForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6614046ccc60e73748e0f54a | b679a407515528d6 | 66824fb64a2f47bb | 100,289 | BPE | 100,000 | false | true | false | true | 33 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 501 | stabilityai/stablelm-2-1_6b-chat | stabilityai | null | 1,790 | 97,508 | False | 2024-04-08T14:51:24Z | 2024-06-03T15:18:01Z | transformers | 34 | 0 | null | text-generation | {"parameters": {"F32": 1644515328}, "total": 1644515328} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | f3fe67057c2789ae1bb1fe42b038da99840d4f13 | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"causal-lm",
"conversational",
"en",
"dataset:HuggingFaceH4/ultrachat_200k",
"dataset:allenai/ultrafeedback_binarized_cleaned",
"dataset:meta-math/MetaMathQA",
"dataset:WizardLM/WizardLM_evol_instruct_V2_196k",
"dataset:openchat/ope... | null | {"architectures": ["StableLmForCausalLM"], "model_type": "stablelm", "tokenizer_config": {"bos_token": "<|endoftext|>", "chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set syst... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["HuggingFaceH4/ultrachat_200k", "allenai/ultrafeedback_binarized_cleaned", "meta-math/MetaMathQA", "WizardLM/WizardLM_evol_instruct_V2_196k", "openchat/openchat_sharegpt4_dataset", "LDJnr/Capybara", "Intel/orca_dpo_pairs", "hkust-nlp/deita-10k-v0", "teknium/OpenHermes-2.5"], "eval_resu... | # `StableLM 2 Chat 1.6B`
## Model Description
`Stable LM 2 Chat 1.6B` is a 1.6 billion parameter instruction tuned language model inspired by [HugginFaceH4's Zephyr 7B](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) training pipeline. The model is trained on a mix of publicly available datasets and synthetic da... | null | [
"other"
] | [
"HuggingFaceH4/ultrachat_200k",
"allenai/ultrafeedback_binarized_cleaned",
"meta-math/MetaMathQA",
"WizardLM/WizardLM_evol_instruct_V2_196k",
"openchat/openchat_sharegpt4_dataset",
"LDJnr/Capybara",
"Intel/orca_dpo_pairs",
"hkust-nlp/deita-10k-v0",
"teknium/OpenHermes-2.5"
] | [
"en"
] | 1,644,515,328 | null | null | [
"AutoModelForCausalLM",
"stablelm",
"StableLmForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc136468d709f1806e4 | 53ecf467267e2824 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 0 | soheeyang/rdr-ctx_encoder-single-nq-base | soheeyang | null | 7 | 93,582 | False | 2022-03-02T23:29:05Z | 2021-04-15T15:58:10Z | transformers | 0 | 0 | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 289088ddb79e14a0ca555548b106a5e594bf6ba2 | [
"transformers",
"pytorch",
"tf",
"dpr",
"arxiv:2010.10999",
"arxiv:2004.04906",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DPRContextEncoder"], "model_type": "dpr", "tokenizer_config": {}} | {
"auto_model": "DPRContextEncoder",
"custom_class": null,
"pipeline_tag": null,
"processor": "AutoTokenizer"
} | null | ---|------------------|-------|-------|-------|-------|-------|
| **NQ Dev** | **DPR** | 44.2 | - | 76.9 | 81.3 | 84.2 |
| | **RDR (This Model)** | **54.43** | **72.17** | **81.33** | **84.8** | **86.61** |
| **NQ Test** | **DPR** | 45.87 | 68.14 | 79.97 | - | 85.87 |
| | **DPR-a... | null | null | null | null | null | null | null | [
"DPRContextEncoder",
"dpr"
] | [
null
] | null | null | null |
673c00a64442393f7237a5fe | e23b6bdbe047bb7e | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 46 | Intel/tiny-random-llama2 | Intel | null | 2,437 | 106,200 | False | 2024-11-19T03:06:14Z | 2025-09-08T08:17:29Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"F32": 17042688}, "total": 17042688} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | 5cb1a5f0c1d17896da3517680269a5ceefe55682 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"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}, "chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set... | {
"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": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": []} | # Model Card for Model ID
This is a tiny random Llama model derived from "meta-llama/Llama-2-7b-hf".
This is useful for functional testing (not quality generation, since its weights are random) on [optimum-intel](https://github.com/huggingface/optimum-intel/blob/main/tests/ipex/utils_tests.py) | null | null | null | null | 17,042,688 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
68c3f4eaa02677084893d545 | 7428ef9ae5ef868f | 67da9c236fa81925 | 151,669 | BPE | 151,387 | true | true | true | true | 26 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 47 | cyankiwi/Qwen3-Next-80B-A3B-Thinking-AWQ-4bit | cyankiwi | {
"models": [
{
"_id": "68c04b9ba4d1823e9b0ee2bd",
"id": "Qwen/Qwen3-Next-80B-A3B-Thinking"
}
],
"relation": "quantized"
} | 138,972 | 1,000,088 | False | 2025-09-12T10:24:42Z | 2026-02-03T16:52:14Z | transformers | 22 | 0 | null | text-generation | {"parameters": {"I64": 150528, "I32": 9865003008, "BF16": 4871089408}, "total": 14736242944} | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.jinja",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00010.safetensors",
"model-00002-of-00010.safetensors",
"model-00003-of-00010.safetensors",
"model-00004-of-00010.safetensors",
"model-00005-of-0001... | ef04b553b050bc8ccff0bcd50ec0bab5afadf93c | [
"transformers",
"safetensors",
"qwen3_next",
"text-generation",
"conversational",
"arxiv:2309.00071",
"arxiv:2505.09388",
"arxiv:2501.15383",
"base_model:Qwen/Qwen3-Next-80B-A3B-Thinking",
"base_model:quantized:Qwen/Qwen3-Next-80B-A3B-Thinking",
"license:apache-2.0",
"endpoints_compatible",
... | null | {"architectures": ["Qwen3NextForCausalLM"], "model_type": "qwen3_next", "quantization_config": {"quant_method": "compressed-tensors"}, "tokenizer_config": {"bos_token": null, "eos_token": "<|im_end|>", "pad_token": "<|endoftext|>", "unk_token": null}, "chat_template_jinja": "{%- if tools %}\n {{- '<|im_start|>system... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["Qwen/Qwen3-Next-80B-A3B-Thinking"], "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Thinking/blob/main/LICENSE", "metrics": null, "model_name": null, ... | null | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Thinking/blob/main/LICENSE"
] | null | null | 14,736,242,944 | null | null | [
"qwen3_next",
"Qwen3NextForCausalLM",
"AutoModelForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6641d2684ba1e60bae7d1151 | cf5cf3c3b9baa092 | 711173a19e789885 | 84,608 | BPE | 85,122 | true | false | true | true | 6 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 966 | vaiv/GeM2-Llamion-14B-Base | vaiv | null | 8,381 | 134,346 | False | 2024-05-13T08:42:16Z | 2024-06-04T01:49:19Z | transformers | 6 | 0 | null | text-generation | {"parameters": {"BF16": 14498288640}, "total": 14498288640} | [
".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... | 9434fd36c4d6152d160aa6877aaf69cb4740fdb1 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:apache-2.0",
"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": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # **GeM2-Llamion-14B**
We have released **Llamion** as **GeM 2.0**, the second series of generative models developed by VAIV Company to address the our principal business needs.
**Llamion** (Llamafied Orion) is derived from transforming the [Orion model](https://huggingface.co/OrionStarAI/Orion-14B-Base)
into [the st... | null | [
"apache-2.0"
] | null | null | 14,498,288,640 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6631258e9fcb8095d5ccbce2 | 803e3c8528c55bf1 | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 352 | johnsnowlabs/JSL-MedLlama-3-8B-v2.0 | johnsnowlabs | {
"models": [
{
"_id": "661f97d48e7f3438386f755d",
"id": "meta-llama/Meta-Llama-3-8B"
}
],
"relation": "finetune"
} | 8,550 | 103,988 | False | 2024-04-30T17:08:30Z | 2024-04-30T18:06:24Z | transformers | 43 | 0 | null | text-generation | {"parameters": {"BF16": 8030261248}, "total": 8030261248} | [
".gitattributes",
"README.md",
"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"
] | f3d41874ba4998c31727b8a18fae3e680f440f2f | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-3-8b",
"sft",
"medical",
"base_model:meta-llama/Meta-Llama-3-8B",
"base_model:finetune:meta-llama/Meta-Llama-3-8B",
"license:cc-by-nc-nd-4.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "eos_token": "<|end_of_text|>", "pad_token": "<|end_of_text|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["meta-llama/Meta-Llama-3-8B"], "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "cc-by-nc-nd-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["llama-3-8b", "sft", "medical"]} | # JSL-MedLlama-3-8B-v2.0
[<img src="https://repository-images.githubusercontent.com/104670986/2e728700-ace4-11ea-9cfc-f3e060b25ddf">](http://www.johnsnowlabs.com)
This model is developed by [John Snow Labs](https://www.johnsnowlabs.com/).
This model is available under a [CC-BY-NC-ND](https://creativecommons.org/lice... | null | [
"cc-by-nc-nd-4.0"
] | null | null | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65e6e5621da1fd85dbbb883e | 182653b9a1c98f6a | 6800b49c40005f0a | 61,875 | BPE | 78,625 | true | false | true | true | 5 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 971 | MediaTek-Research/Breeze-7B-Instruct-v1_0 | MediaTek-Research | null | 825 | 98,102 | False | 2024-03-05T09:26:58Z | 2024-06-28T07:26:00Z | transformers | 66 | 0 | null | text-generation | {"parameters": {"BF16": 7487098880}, "total": 7487098880} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"front_breeze.png",
"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",
"pyto... | 60d4fa07ae4ddd4174864b257be0563f1806cd6d | [
"transformers",
"pytorch",
"safetensors",
"mistral",
"text-generation",
"conversational",
"zh",
"en",
"arxiv:2403.02712",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | 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 %}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["zh", "en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": null} | # Model Card for MediaTek Research Breeze-7B-Instruct-v1_0
MediaTek Research Breeze-7B (hereinafter referred to as Breeze-7B) is a language model family that builds on top of [Mistral-7B](https://huggingface.co/mistralai/Mistral-7B-v0.1), specifically intended for Traditional Chinese use.
[Breeze-7B-Base](https://hug... | null | [
"apache-2.0"
] | null | [
"zh",
"en"
] | 7,487,098,880 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65953bc67e27b09432ec4da5 | e23b6bdbe047bb7e | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 46 | Unbabel/TowerBase-7B-v0.1 | Unbabel | null | 817 | 97,726 | False | 2024-01-03T10:49:42Z | 2024-03-05T12:51:43Z | transformers | 56 | 0 | [{"name": "TowerBase-7B-v0.1", "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": 51.02, "name": "nor... | translation | {"parameters": {"BF16": 6738415616}, "total": 6738415616} | [
".gitattributes",
"LICENSE",
"Notice",
"README.md",
"config.json",
"generation_config.json",
"model.safetensors",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | bd59c10d76007e960368acfc15bebc201c112b1b | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"translation",
"en",
"de",
"fr",
"zh",
"pt",
"nl",
"ru",
"ko",
"it",
"es",
"arxiv:2402.17733",
"license:cc-by-nc-4.0",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
... | 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"
} | {"language": ["en", "de", "fr", "zh", "pt", "nl", "ru", "ko", "it", "es"], "license": "cc-by-nc-4.0", "metrics": ["comet"], "pipeline_tag": "translation", "model-index": [{"name": "TowerBase-7B-v0.1", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challen... | # Model Card for TowerBase-7B-v0.1
## Model Details
### Model Description
TowerBase-7B is a language model that results from continuing the pretraining of Llama 2 on a mix of 20 billion tokens of monolingual data in ten different languages — English, Portuguese, Spanish, French, German, Dutch, Italian, Korean, Chine... | null | [
"cc-by-nc-4.0"
] | null | [
"en",
"de",
"fr",
"zh",
"pt",
"nl",
"ru",
"ko",
"it",
"es"
] | 6,738,415,616 | null | [
"comet"
] | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"translation",
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65d9837e7540dd1da96f8a64 | 0aea00f578e27edb | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 904 | ibivibiv/multimaster-7b-v6 | ibivibiv | null | 8,493 | 134,541 | False | 2024-02-24T05:49:50Z | 2024-04-19T23:26:11Z | transformers | 1 | 0 | [{"name": "multimaster-7b-v6", "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": 72.78, "name": "nor... | text-generation | {"parameters": {"F32": 35428241408}, "total": 35428241408} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00029.safetensors",
"model-00002-of-00029.safetensors",
"model-00003-of-00029.safetensors",
"model-00004-of-00029.safetensors",
"model-00005-of-00029.safetensors",
"model-00006-of-00029.safetensors",
"model-0... | 7b3bfecb654c86565c65cd510dd1138cb3e75087 | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"en",
"arxiv:1803.05457",
"arxiv:1905.07830",
"arxiv:2009.03300",
"arxiv:2109.07958",
"arxiv:1907.10641",
"arxiv:2110.14168",
"license:apache-2.0",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"region:u... | null | {"architectures": ["MixtralForCausalLM"], "model_type": "mixtral", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": "<s>", "unk_token": "<unk>", "use_default_system_prompt": true}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"language": ["en"], "library_name": "transformers", "license": "apache-2.0", "model-index": [{"name": "multimaster-7b-v6", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config": "ARC-Challenge", "split": "test",... | # Multi Master 7Bx5 v6
A quick multi-disciplinary moe model. This is part of a series of models built to test the gate tuning for mixtral style moe models.
# Prompting
## Prompt Template for alpaca style
```
### Instruction:
<prompt> (without the <>)
### Response:
```
## Sample Code
... | null | [
"apache-2.0"
] | null | [
"en"
] | 35,428,241,408 | null | null | [
"mixtral",
"MixtralForCausalLM",
"AutoModelForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67bd75cfdda67a4df5ec7d0b | 848b60b6cd304b65 | ffc911e785abe60e | 151,665 | BPE | 151,387 | true | true | true | true | 22 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 15 | eth-nlped/Qwen2.5-1.5B-pedagogical-rewardmodel | eth-nlped | {
"models": [
{
"_id": "66e98dd5899bdb384bd953b4",
"id": "Qwen/Qwen2.5-1.5B-Instruct"
}
],
"relation": "finetune"
} | 507 | 94,267 | False | 2025-02-25T07:48:31Z | 2025-11-18T13:27:28Z | transformers | 3 | 0 | null | text-classification | {"parameters": {"F32": 1543715840}, "total": 1543715840} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"merges.txt",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | b1cf3e323398713e10ed88a4dbfa27f4a8f3b8dc | [
"transformers",
"safetensors",
"qwen2",
"text-classification",
"reward",
"model",
"education",
"pedagogical",
"scaffolding",
"dataset:eth-nlped/mathdial",
"dataset:dmacjam/pedagogical-rewardmodel-data",
"arxiv:2502.18940",
"base_model:Qwen/Qwen2.5-1.5B-Instruct",
"base_model:finetune:Qwen/... | null | {"architectures": ["Qwen2ForSequenceClassification"], "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, cr... | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": ["Qwen/Qwen2.5-1.5B-Instruct"], "datasets": ["eth-nlped/mathdial", "dmacjam/pedagogical-rewardmodel-data"], "eval_results": null, "language": null, "library_name": "transformers", "license": "cc-by-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null... | The model was trained on paired preferences from the MathDial and MRBench datasets.
To find more information and to cite, see:
```bibtex
@article{macina2025mathtutorbench,
title={MathTutorBench: A Benchmark for Measuring Open-ended\\ Pedagogical Capabilities of LLM Tutors},
author={Jakub Macina, Nico Dahe... | null | [
"cc-by-4.0"
] | [
"eth-nlped/mathdial",
"dmacjam/pedagogical-rewardmodel-data"
] | null | 1,543,715,840 | null | null | [
"Qwen2ForSequenceClassification",
"AutoModelForSequenceClassification",
"qwen2"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
66583e16ee15932043bb3172 | 803e3c8528c55bf1 | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 352 | MaziyarPanahi/Llama-3-8B-Instruct-v0.9 | MaziyarPanahi | {
"models": [
{
"_id": "6632124ce25753ed523697e4",
"id": "MaziyarPanahi/Llama-3-8B-Instruct-v0.8"
}
],
"relation": "finetune"
} | 8,397 | 134,381 | False | 2024-05-30T08:51:34Z | 2024-06-03T21:12:44Z | transformers | 6 | 0 | [{"name": "Llama-3-8B-Instruct-v0.9", "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": 72.35, "name... | text-generation | {"parameters": {"BF16": 8030261248}, "total": 8030261248} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"llama-3-merges.webp",
"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"... | ddf91fdc0a3ab5e5d76864f1c4cf44e5adacd565 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"axolotl",
"finetune",
"facebook",
"meta",
"pytorch",
"llama-3",
"conversational",
"en",
"base_model:MaziyarPanahi/Llama-3-8B-Instruct-v0.8",
"base_model:finetune:MaziyarPanahi/Llama-3-8B-Instruct-v0.8",
"license:other",
"model... | 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 %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|s... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "MaziyarPanahi/Llama-3-8B-Instruct-v0.8", "language": ["en"], "library_name": "transformers", "license": "other", "license_name": "llama3", "license_link": "LICENSE", "pipeline_tag": "text-generation", "tags": ["axolotl", "finetune", "facebook", "meta", "pytorch", "llama", "llama-3"], "inference": false,... | <img src="./llama-3-merges.webp" alt="Llama-3 DPO Logo" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Llama-3-8B-Instruct-v0.9
This model was developed based on `MaziyarPanahi/Llama-3-8B-Instruct-v0.8` model.
# ⚡ Quantized GGUF
All GGUF models are available here: [MaziyarPanahi/Lla... | null | [
"other",
"llama3",
"LICENSE"
] | null | [
"en"
] | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6785559e6bc168b98ab8cffc | 5499fef3506cd876 | cf1efbe71ef28fc9 | 50,368 | BPE | 50,009 | true | true | true | true | 116 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 48 | jxm/cde-small-v2 | jxm | {
"models": [
{
"_id": "6759799ed862e62a825b5413",
"id": "answerdotai/ModernBERT-base"
}
],
"relation": "finetune"
} | 25,012 | 207,844 | False | 2025-01-13T18:04:14Z | 2025-05-12T16:28:04Z | sentence-transformers | 90 | 0 | [{"name": "cde-small-v2", "results": [{"dataset": {"config": "en", "name": "MTEB AmazonCounterfactualClassification (en)", "revision": "e8379541af4e31359cca9fbcf4b00f2671dba205", "split": "test", "type": "mteb/amazon_counterfactual"}, "metrics": [{"type": "accuracy", "value": 86.01490000000001, "verified": false}, {"ty... | feature-extraction | null | [
".gitattributes",
"README.md",
"config.json",
"config_sentence_transformers.json",
"misc.py",
"model.py",
"model.safetensors",
"modules.json",
"sentence_bert_config.json",
"sentence_transformers_impl.py",
"tokenizer.json",
"tokenizer_config.json"
] | 4e1d021a6c3fd7ce8aa0a7204057eee5ae61d390 | [
"sentence-transformers",
"safetensors",
"feature-extraction",
"mteb",
"transformers",
"modernbert",
"custom_code",
"arxiv:2410.02525",
"base_model:answerdotai/ModernBERT-base",
"base_model:finetune:answerdotai/ModernBERT-base",
"model-index",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["ContextualDocumentEmbeddingTransformer"], "auto_map": {"AutoConfig": "model.ContextualModelConfig", "AutoModel": "model.ContextualDocumentEmbeddingTransformer"}, "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModel",
"custom_class": "model.ContextualDocumentEmbeddingTransformer",
"pipeline_tag": "feature-extraction",
"processor": null
} | {"base_model": "answerdotai/ModernBERT-base", "tags": ["mteb", "transformers", "sentence-transformers", "modernbert"], "model-index": [{"name": "cde-small-v2", "results": [{"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonCounterfactualClassification (en)", "type": "mteb/amazon_counterfactual", "conf... | # cde-small-v2
> [!NOTE]
> **Note on parameter count:** Although HuggingFace reports the size of this model as 281M params, really it can be thought of as 140M. That's because our weights actually contain the weights of two models (dubbed "first stage" and "second stage"), and only the second-stage model is used to co... | null | null | null | null | null | null | null | [
"AutoModel",
"ContextualDocumentEmbeddingTransformer",
"model.ContextualDocumentEmbeddingTransformer"
] | [
"feature-extraction"
] | [
"multimodal"
] | [
"text"
] | [
"embeddings"
] |
632527c0d6bbbdc54f5dd1ff | fbc50770f88f1698 | cf7a052aa6fec7ad | 30,000 | BPE | 15,977 | true | true | false | true | 229 | Sequence | Metaspace | Metaspace | [
"NFKC",
"BertNormalizer"
] | [
"Metaspace"
] | [
"Metaspace"
] | 580 | circulus/kobart-chat-mixed-v2 | circulus | null | 8 | 93,173 | False | 2022-09-17T01:49:52Z | 2022-09-20T17:46:59Z | transformers | 0 | 0 | null | null | null | [
".gitattributes",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | a3ebc2c7480d1ab2aa8d5cd82dab986dc14dc75b | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BartForConditionalGeneration"], "model_type": "bart", "tokenizer_config": {}} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"bart",
"BartForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation"
] | null | null | null |
651a67d22d69a6fd7e372e57 | 02217ffa5907f57a | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 130 | yeen214/llama2_7b_small_tuning_v1 | yeen214 | null | 780 | 97,183 | False | 2023-10-02T06:48:50Z | 2023-10-03T06:53:33Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"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",
"tokenizer_config.json"
] | 3f9b43b4db2da4fe3785071dd52c9fc92aa0801d | [
"transformers",
"pytorch",
"llama",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | 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"
} | null | null | null | null | null | null | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
662e15bcb5875a9b2018c7b8 | 02217ffa5907f57a | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 130 | Mxode/TinyStories-LLaMA2-25M-256h-4l-GQA | Mxode | null | 1,312 | 101,696 | False | 2024-04-28T09:24:12Z | 2024-04-28T09:24:31Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"F32": 25823488}, "total": 25823488} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | 42d82ef2f206534234a249f58dc08ad32003cb9f | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"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": "<unk>", "unk_token": "<unk>", "use_default_system_prompt": false}} | {
"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": 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 | 25,823,488 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
651a3f27fff98a48b2043502 | 8a9cfd8584cddb34 | ea059d203298896f | 46,336 | BPE | 77,738 | true | false | true | true | 14,450 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 881 | yeen214/test_llama2_ko_7b | yeen214 | null | 784 | 97,102 | False | 2023-10-02T03:55:19Z | 2023-10-02T20:05:55Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
"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"
] | 45901e1d6ccb22f5ed8aec3f9dd366823fdd1c33 | [
"transformers",
"pytorch",
"llama",
"text-generation",
"text-generation-inference",
"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"
} | null | null | null | null | null | null | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65e90ec6c059116ae8dcc7b5 | 88cd37e502d27a0a | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 88 | Kukedlc/NeuralExperiment-7b-MagicCoder-v7.5 | Kukedlc | null | 8,435 | 133,981 | False | 2024-03-07T00:48:06Z | 2024-09-05T01:53:41Z | transformers | 6 | 0 | null | text-generation | {"parameters": {"F16": 7241732096}, "total": 7241732096} | [
".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",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 926c7158514c4c8af5e5dc3f410a545a51c507e3 | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"dataset:microsoft/orca-math-word-problems-200k",
"dataset:ise-uiuc/Magicoder-Evol-Instruct-110K",
"dataset:Vezora/Tested-22k-Python-Alpaca",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"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": false}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["microsoft/orca-math-word-problems-200k", "ise-uiuc/Magicoder-Evol-Instruct-110K", "Vezora/Tested-22k-Python-Alpaca"], "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null,... | # Datacard for Custom Trained Model
- Base Model : [Kukedlc/NeuralExperiment-7b-dare-ties](https://huggingface.co/Kukedlc/NeuralExperiment-7b-dare-ties)
## Model Description
This model is an experimental AI trained on three distinct datasets focusing on logical reasoning, mathematics, and programming. The training ... | null | [
"apache-2.0"
] | [
"microsoft/orca-math-word-problems-200k",
"ise-uiuc/Magicoder-Evol-Instruct-110K",
"Vezora/Tested-22k-Python-Alpaca"
] | null | 7,241,732,096 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
670ce2579290acea4829c257 | 34093184d10f76a9 | 35b001f3a491f9f9 | 151,646 | BPE | 151,387 | true | true | true | true | 3 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 53 | DAMO-NLP-SG/VideoLLaMA2.1-7B-16F | DAMO-NLP-SG | null | 1,867 | 121,853 | False | 2024-10-14T09:20:23Z | 2025-09-04T13:25:09Z | transformers | 10 | 0 | null | video-text-to-text | {"parameters": {"BF16": 8420731360}, "total": 8420731360} | [
".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... | d27e105e04ce77097b14d85862f2c41ff7e0d22d | [
"transformers",
"safetensors",
"videollama2_qwen2",
"text-generation",
"large video-language model",
"video-text-to-text",
"en",
"dataset:OpenGVLab/VideoChat2-IT",
"dataset:Lin-Chen/ShareGPT4V",
"dataset:liuhaotian/LLaVA-Instruct-150K",
"arxiv:2406.07476",
"arxiv:2306.02858",
"license:apache... | null | {"architectures": ["Videollama2Qwen2ForCausalLM"], "model_type": "videollama2_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... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": null, "datasets": ["OpenGVLab/VideoChat2-IT", "Lin-Chen/ShareGPT4V", "liuhaotian/LLaVA-Instruct-150K"], "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["accuracy"], "model_name": null, "pipeline_tag... | <p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63913b120cf6b11c487ca31d/ROs4bHIp4zJ7g7vzgUycu.png" width="150" style="margin-bottom: 0.2;"/>
<p>
<h3 align="center"><a href="https://arxiv.org/abs/2406.07476">VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understandi... | null | [
"apache-2.0"
] | [
"OpenGVLab/VideoChat2-IT",
"Lin-Chen/ShareGPT4V",
"liuhaotian/LLaVA-Instruct-150K"
] | [
"en"
] | 8,420,731,360 | null | [
"accuracy"
] | [
"AutoModelForCausalLM",
"Videollama2Qwen2ForCausalLM",
"videollama2_qwen2"
] | [
"video-text-to-text",
"text-generation"
] | [
"text",
"vision"
] | [
"text",
"image"
] | [
"text"
] |
630499a86dbbb80f16360f91 | d82c716f01e57f52 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 62 | jonas/roberta-base-finetuned-sdg | jonas | null | 25 | 93,757 | False | 2022-08-23T09:11:04Z | 2022-08-23T09:49:42Z | transformers | 1 | 0 | [{"name": "roberta-base-finetuned-sdg", "results": []}] | text-classification | null | [
".gitattributes",
".gitignore",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | b26670c03c4959a4b8229422cda2da62c8e1b0a0 | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"generated_from_trainer",
"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": [], "language": null, "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": "roberta-base-finetuned-sdg", "pipeline_tag": null, "tags": ["generated_from_trainer"]} | <!-- 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-sdg
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None ... | null | [
"mit"
] | null | null | null | null | null | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
67a997a23d647533cdf4602d | 30094a1eabdbef67 | db117e9883c4d0ab | 50,257 | BPE | 50,000 | false | true | true | true | 1 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 4 | hyper-accel/tiny-random-gpt2 | hyper-accel | null | 725 | 129,579 | False | 2025-02-10T06:07:30Z | 2025-02-10T06:07:37Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"F32": 6960768}, "total": 6960768} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 26bf7041497544bbd014ffdc245f3c60c0b05179 | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"arxiv:1910.09700",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "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": "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 | 6,960,768 | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6797d65120c7240ceda5c1b8 | 6ad107c052114661 | 3a81430db460f7f5 | 50,281 | BPE | 50,009 | true | true | true | true | 29 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 972 | allenai/OLMoE-1B-7B-0125-Instruct | allenai | {
"models": [
{
"_id": "6797d6b2537338eb96f06ea0",
"id": "allenai/OLMoE-1B-7B-0125-DPO"
}
],
"relation": "finetune"
} | 52,213 | 254,182 | False | 2025-01-27T18:54:09Z | 2025-02-04T16:47:15Z | transformers | 61 | 0 | null | text-generation | {"parameters": {"BF16": 6919161856}, "total": 6919161856} | [
".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",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | b89a7c4bc24fb9e55ce2543c9458ce0ca5c4650e | [
"transformers",
"safetensors",
"olmoe",
"text-generation",
"conversational",
"en",
"dataset:allenai/RLVR-GSM",
"arxiv:2409.02060",
"arxiv:2411.15124",
"base_model:allenai/OLMoE-1B-7B-0125-DPO",
"base_model:finetune:allenai/OLMoE-1B-7B-0125-DPO",
"license:apache-2.0",
"endpoints_compatible",
... | null | {"architectures": ["OlmoeForCausalLM"], "model_type": "olmoe", "tokenizer_config": {"bos_token": "|||IP_ADDRESS|||", "chat_template": "{{ bos_token }}{% for message in messages %}{% if message['role'] == 'system' %}{{ '<|system|>\n' + message['content'] + '\n' }}{% elif message['role'] == 'user' %}{{ '<|user|>\n' + mes... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["allenai/OLMoE-1B-7B-0125-DPO"], "datasets": ["allenai/RLVR-GSM"], "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": null} | null | null | [
"apache-2.0"
] | [
"allenai/RLVR-GSM"
] | [
"en"
] | 6,919,161,856 | null | null | [
"OlmoeForCausalLM",
"olmoe",
"AutoModelForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6621ee4f73c423da5948c5bb | 803e3c8528c55bf1 | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 352 | astronomer/Llama-3-8B-Instruct-GPTQ-8-Bit | astronomer | {
"models": [
{
"_id": "661f97d0b00f5f1f620c4f25",
"id": "meta-llama/Meta-Llama-3-8B-Instruct"
}
],
"relation": "quantized"
} | 82 | 93,290 | False | 2024-04-19T04:08:47Z | 2024-04-22T01:31:44Z | transformers | 25 | 0 | null | text-generation | {"parameters": {"I32": 6979321856, "BF16": 1052315648}, "total": 8031637504} | [
".gitattributes",
"LICENSE.txt",
"README.md",
"USE_POLICY.md",
"config.json",
"generation_config.json",
"model.safetensors",
"quantize_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | d7395bd8b015df3f7cb1b2e929d84d3a9f9bc17d | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-3",
"facebook",
"meta",
"astronomer",
"gptq",
"pretrained",
"quantized",
"finetuned",
"autotrain_compatible",
"endpoints_compatible",
"conversational",
"dataset:wikitext",
"arxiv:2210.17323",
"base_model:meta-llama/M... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"bits": 8, "quant_method": "gptq"}, "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']... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "datasets": ["wikitext"], "eval_results": null, "language": null, "library_name": null, "license": "other", "license_name": "llama-3-community-license", "license_link": "https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct/blob/main/LICENSE", "metrics": null, ... | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://www.astronomer.io/logo/astronomer-logo-RGB-standard-1200px.png" alt="Astronomer" style="width: 60%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="margin-top: 1.0em; margin-bott... | null | [
"other",
"llama-3-community-license",
"https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct/blob/main/LICENSE"
] | [
"wikitext"
] | null | 8,031,637,504 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6739d6a82d975ccb097163c7 | 1e0a2493163c0c63 | 6622292dca275a2d | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 18 | HelpingAI/HelpingAI2.5-10B | HelpingAI | null | 13 | 93,018 | False | 2024-11-17T11:42:32Z | 2025-05-03T14:29:15Z | transformers | 8 | 0 | null | text-generation | {"parameters": {"BF16": 10211381248}, "total": 10211381248} | [
".gitattributes",
"README.md",
"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.index.json",
"special_tok... | 3c1aa0b0be0c33267388078ee4d27d93966def28 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"en",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "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 %}\n {%- set tools_in_user_messag... | {
"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": "other", "license_name": "helpingai", "license_link": "https://huggingface.co/OEvortex/HelpingAI2.5-5B/blob/main/LICENSE.md", "metrics": null, "model_name": null, "pipeline_tag": "text-generation"... | <div align="center">
# 🤖 HelpingAI2.5-10B
***A Revolutionary Emotionally Intelligent Language Model***
[](https://github.com/HelpingAI)
[](https://hug... | null | [
"other",
"helpingai",
"https://huggingface.co/OEvortex/HelpingAI2.5-5B/blob/main/LICENSE.md"
] | null | [
"en"
] | 10,211,381,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
665df88b5f18d9b32877a328 | 258ab1826e691b9b | a14399e32bd10394 | 32,768 | BPE | 58,980 | true | false | true | true | 9 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 973 | failspy/Codestral-22B-v0.1-abliterated-v3 | failspy | null | 8,361 | 133,522 | False | 2024-06-03T17:08:27Z | 2024-06-03T17:20:01Z | transformers | 12 | 0 | null | text-generation | {"parameters": {"BF16": 22247282688}, "total": 22247282688} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"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-00009.safetensors",
"model-0... | ce64ab19702acc673d6369f7bb018b2b1407e3c2 | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"code",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"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": false}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["code"], "library_name": "transformers", "license": "other", "license_name": "mnpl", "license_link": "https://mistral.ai/licences/MNPL-0.1.md", "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["code"]} | # Codestral-22B-v0.1-abliterated-v3 Model Card
[My original Jupyter "cookbook" to replicate the methodology can be found here](https://huggingface.co/failspy/llama-3-70B-Instruct-abliterated/blob/main/ortho_cookbook.ipynb)
[My personal library o' code used](https://github.com/FailSpy/abliterator) (WIP, looking to imp... | null | [
"other",
"mnpl",
"https://mistral.ai/licences/MNPL-0.1.md"
] | null | [
"code"
] | 22,247,282,688 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
68415889c649707d9111c752 | 81503edfd19f7cde | 3540efd9bd7a35ee | 200,036 | BPE | 199,744 | true | true | false | true | 36 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 974 | MiniMaxAI/MiniMax-M1-40k | MiniMaxAI | null | 19,332 | 164,400 | False | 2025-06-05T08:42:49Z | 2025-07-07T07:50:30Z | transformers | 184 | 0 | null | text-generation | null | [
".gitattributes",
"LICENSE",
"MiniMax_M1_tech_report.pdf",
"README.md",
"config.json",
"configuration_minimax_m1.py",
"docs/function_call_guide.md",
"docs/function_call_guide_cn.md",
"docs/transformers_deployment_guide.md",
"docs/transformers_deployment_guide_cn.md",
"docs/vllm_deployment_guide.... | 2d1d1c2f00c97fc1245bfce7648649b76e0a8e6e | [
"transformers",
"safetensors",
"minimax_m1",
"text-generation",
"vllm",
"conversational",
"custom_code",
"arxiv:2506.13585",
"license:apache-2.0",
"region:us"
] | null | {"architectures": ["MiniMaxM1ForCausalLM"], "auto_map": {"AutoConfig": "configuration_minimax_m1.MiniMaxM1Config", "AutoModelForCausalLM": "modeling_minimax_m1.MiniMaxM1ForCausalLM"}, "model_type": "minimax_m1", "tokenizer_config": {"bos_token": "<beginning_of_sentence>", "eos_token": "<end_of_sentence>", "unk_token": ... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "modeling_minimax_m1.MiniMaxM1ForCausalLM",
"pipeline_tag": "text-generation",
"processor": null
} | {"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": "text-generation", "tags": ["vllm"]} | null | null | [
"apache-2.0"
] | null | null | null | null | null | [
"MiniMaxM1ForCausalLM",
"AutoModelForCausalLM",
"modeling_minimax_m1.MiniMaxM1ForCausalLM",
"minimax_m1"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67502205096baaa441081069 | 7967e1fae39d98e0 | 75b5e47a4b00191e | 151,655 | BPE | 151,387 | true | true | true | true | 12 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 57 | Qwen/Qwen2-VL-72B | Qwen | null | 299 | 93,733 | False | 2024-12-04T09:33:57Z | 2024-12-06T04:47:18Z | transformers | 80 | 0 | null | image-text-to-text | {"parameters": {"BF16": 73405560320}, "total": 73405560320} | [
".gitattributes",
"LICENSE",
"README.md",
"chat_template.json",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00038.safetensors",
"model-00002-of-00038.safetensors",
"model-00003-of-00038.safetensors",
"model-00004-of-00038.safetensors",
"model-00005-of-00038.safetenso... | 123bc2f135136461561679f1c9510bd57f886c8c | [
"transformers",
"safetensors",
"qwen2_vl",
"image-text-to-text",
"multimodal",
"conversational",
"en",
"arxiv:2409.12191",
"arxiv:2308.12966",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen2VLForConditionalGeneration"], "model_type": "qwen2_vl", "processor_config": {"chat_template": "{% if messages is string %}{{ messages }}{% else %}{% for content in messages %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}<|vision_start|><|image_pad|><|vision... | {
"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": "other", "license_name": "qwen", "license_link": "https://huggingface.co/Qwen/Qwen2-VL-72B/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": ["... | # Qwen2-VL-72B
## Introduction
We're excited to unveil **Qwen2-VL**, the latest iteration of our Qwen-VL model, representing nearly a year of innovation.
> [!Important]
> This is the base pretrained model of Qwen2-VL-72B without instruction tuning.
### What’s New in Qwen2-VL?
#### Key Enhancements:
* **SoTA unde... | null | [
"other",
"qwen",
"https://huggingface.co/Qwen/Qwen2-VL-72B/blob/main/LICENSE"
] | null | [
"en"
] | 73,405,560,320 | null | null | [
"AutoModelForImageTextToText",
"qwen2_vl",
"Qwen2VLForConditionalGeneration"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
68408bc0739bcc608fc28d26 | 3e2b12fc004a09ad | 1fe366e13272caa0 | 262,145 | BPE | 514,906 | true | true | true | true | 6,415 | Replace | Split | Sequence | [
"Replace"
] | [
"Split"
] | [
"Replace",
"ByteFallback",
"Fuse"
] | 975 | RedHatAI/gemma-3-27b-it-quantized.w4a16 | RedHatAI | {
"models": [
{
"_id": "67c35b9bb236f0d365bf29d3",
"id": "google/gemma-3-27b-it"
}
],
"relation": "quantized"
} | 7,658 | 195,197 | False | 2025-06-04T18:09:04Z | 2025-06-09T15:13:28Z | transformers | 13 | 0 | null | image-text-to-text | {"parameters": {"I64": 868, "I32": 3199795200, "BF16": 3443662448}, "total": 6643458516} | [
".gitattributes",
"README.md",
"chat_template.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"... | 2b537554d6c6f6368945e8df4e5fb7bbbb5d56c9 | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"vllm",
"vision",
"w4a16",
"conversational",
"base_model:google/gemma-3-27b-it",
"base_model:quantized:google/gemma-3-27b-it",
"license:gemma",
"text-generation-inference",
"endpoints_compatible",
"compressed-tensors",
"regio... | null | {"architectures": ["Gemma3ForConditionalGeneration"], "model_type": "gemma3", "quantization_config": {"quant_method": "compressed-tensors"}, "processor_config": {"chat_template": "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n {%- if messages[0]['content'] is string -%}\n {%- set first_user_pre... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": "google/gemma-3-27b-it", "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": ["vllm", "vision", "w4a16"]} | # gemma-3-27b-it-quantized.w4a16
## Model Overview
- **Model Architecture:** google/gemma-3-27b-it
- **Input:** Vision-Text
- **Output:** Text
- **Model Optimizations:**
- **Weight quantization:** INT4
- **Activation quantization:** FP16
- **Release Date:** 6/4/2025
- **Version:** 1.0
- **Model Developers:** R... | null | [
"gemma"
] | null | null | 6,643,458,516 | null | null | [
"AutoModelForImageTextToText",
"Gemma3ForConditionalGeneration",
"gemma3"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
65d637ad5bfb8fa64930e54e | e2c43495aed6e9fb | e6ffdc5dd5f1fd86 | 256,000 | BPE | 580,604 | true | false | true | true | 217 | Replace | null | Sequence | [
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse"
] | 106 | unsloth/gemma-7b-it | unsloth | null | 1,543 | 111,283 | False | 2024-02-21T17:49:33Z | 2024-09-03T03:44:30Z | transformers | 10 | 1 | null | text-generation | {"parameters": {"BF16": 8537680896}, "total": 8537680896} | [
".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",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.... | 09fcaf72a834aee7e71c7c42b7c04985c476d66d | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"unsloth",
"gemma-7b",
"conversational",
"en",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GemmaForCausalLM"], "model_type": "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') != (loop.index0 %... | {
"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": null, "tags": ["unsloth", "transformers", "gemma", "gemma-7b"]} | # Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20button.png" width="200"/>](https://discord.gg/u54VK8m8tk)
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/buy%20me%20a%20coffee%... | null | [
"apache-2.0"
] | null | [
"en"
] | 8,537,680,896 | null | null | [
"AutoModelForCausalLM",
"gemma",
"GemmaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc136468d709f17ae9a | 336c2005a03d2a38 | f74d2fa1431f2349 | 256,008 | Unigram | null | true | true | true | true | 11 | Sequence | Metaspace | Metaspace | [
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 415 | facebook/xglm-2.9B | facebook | null | 475 | 100,939 | False | 2022-03-02T23:29:05Z | 2023-01-24T16:35:40Z | transformers | 10 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 33c659ae27de09c0a54123d3902dac48cbb8592a | [
"transformers",
"pytorch",
"xglm",
"text-generation",
"multilingual",
"en",
"ru",
"zh",
"de",
"es",
"fr",
"ja",
"it",
"pt",
"el",
"ko",
"fi",
"id",
"tr",
"ar",
"vi",
"th",
"bg",
"ca",
"hi",
"et",
"bn",
"ta",
"ur",
"sw",
"te",
"eu",
"my",
"ht",
"qu"... | null | {"architectures": ["XGLMForCausalLM"], "model_type": "xglm", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["multilingual", "en", "ru", "zh", "de", "es", "fr", "ja", "it", "pt", "el", "ko", "fi", "id", "tr", "ar", "vi", "th", "bg", "ca", "hi", "et", "bn", "ta", "ur", "sw", "te", "eu", "my", "ht", "qu"], "library_name": null, "license": "mit", "license_... | # XGLM-2.9B
XGLM-2.9B is a multilingual autoregressive language model (with 2.9 billion parameters) trained on a balanced corpus of a diverse set of languages totaling 500 billion sub-tokens. It was introduced in the paper [Few-shot Learning with Multilingual Language Models](https://arxiv.org/abs/2112.10668) by Xi Vi... | null | [
"mit"
] | null | [
"multilingual",
"en",
"ru",
"zh",
"de",
"es",
"fr",
"ja",
"it",
"pt",
"el",
"ko",
"fi",
"id",
"tr",
"ar",
"vi",
"th",
"bg",
"ca",
"hi",
"et",
"bn",
"ta",
"ur",
"sw",
"te",
"eu",
"my",
"ht",
"qu"
] | null | null | null | [
"AutoModelForCausalLM",
"xglm",
"XGLMForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65daca962a6348b052e43ea6 | 0aea00f578e27edb | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 904 | jsfs11/MixtureofMerges-MoE-4x7b-v5 | jsfs11 | {
"models": [
{
"_id": "65d11487818f0593463588b7",
"id": "Kukedlc/Neural4gsm8k"
},
{
"_id": "65c9c5abb489ac9f44184fae",
"id": "eren23/dpo-binarized-NeutrixOmnibe-7B"
},
{
"_id": "65ccd54c1d6b1a8361b2b2c4",
"id": "mlabonne/AlphaMonarch-7B"
},
{
"_id... | 7,931 | 130,966 | False | 2024-02-25T05:05:26Z | 2024-03-03T00:03:07Z | transformers | 1 | 0 | [{"name": "MixtureofMerges-MoE-4x7b-v5", "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": 73.89, "n... | text-generation | {"parameters": {"BF16": 24153690112}, "total": 24153690112} | [
".gitattributes",
"README.md",
"config.json",
"mergekit_moe_config.yml",
"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.index.json",
"special_to... | c1b5ce7144b966062df7627d2482a59e0df3757c | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"moe",
"frankenmoe",
"merge",
"mergekit",
"lazymergekit",
"paulml/OmniBeagleSquaredMBX-v3-7B-v2",
"mlabonne/AlphaMonarch-7B",
"Kukedlc/Neural4gsm8k",
"eren23/dpo-binarized-NeutrixOmnibe-7B",
"base_model:Kukedlc/Neural4gsm8k",
"... | null | {"architectures": ["MixtralForCausalLM"], "model_type": "mixtral", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": "<s>", "unk_token": "<unk>", "use_default_system_prompt": false}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["paulml/OmniBeagleSquaredMBX-v3-7B-v2", "mlabonne/AlphaMonarch-7B", "Kukedlc/Neural4gsm8k", "eren23/dpo-binarized-NeutrixOmnibe-7B"], "license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "paulml/OmniBeagleSquaredMBX-v3-7B-v2", "mlabonne/AlphaMonarch-7B", "Kukedlc/N... | # MixtureofMerges-MoE-4x7b-v5
MixtureofMerges-MoE-4x7b-v5 is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [paulml/OmniBeagleSquaredMBX-v3-7B-v2](https://huggingface.co/paulml/OmniBeagleSquaredMBX-... | null | [
"apache-2.0"
] | null | null | 24,153,690,112 | null | null | [
"mixtral",
"MixtralForCausalLM",
"AutoModelForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
64e786016096e5928263bf6a | e23b6bdbe047bb7e | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 46 | codellama/CodeLlama-13b-Python-hf | codellama | null | 1,019 | 98,899 | False | 2023-08-24T16:32:01Z | 2024-04-12T14:16:10Z | transformers | 51 | 0 | null | text-generation | null | [
".gitattributes",
"LICENSE",
"README.md",
"USE_POLICY.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-00001-of-00003.bin",
"pytorch_model-000... | bced38894a8c7198df0486bc444c203f3159d266 | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"llama-2",
"code",
"arxiv:2308.12950",
"license:llama2",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | 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": null, "eval_results": null, "language": ["code"], "library_name": null, "license": "llama2", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["llama-2"]} | # **Code Llama**
Code Llama is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 34 billion parameters. This is the repository for the 13B Python specialist version in the Hugging Face Transformers format. This model is designed for general code synthesis and understand... | null | [
"llama2"
] | null | [
"code"
] | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
63889424d68e37abd59a2192 | 14a8cb12ce5dee8f | 8a01c02d4d0a401c | 119,547 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 87 | rcds/distilbert-SBD-en-judgements-laws | rcds | null | 439 | 93,702 | False | 2022-12-01T11:46:44Z | 2024-12-12T13:27:50Z | transformers | 1 | 0 | null | token-classification | {"parameters": {"F32": 134736387}, "total": 134736387} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 7ef3ce2067039e01e4000d5e6a6d46128c569f56 | [
"transformers",
"pytorch",
"safetensors",
"distilbert",
"token-classification",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DistilBertForTokenClassification"], "model_type": "distilbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | null | ## Citation
```
@inproceedings{10.1145/3594536.3595132,
author = {Brugger, Tobias and St\"{u}rmer, Matthias and Niklaus, Joel},
title = {MultiLegalSBD: A Multilingual Legal Sentence Boundary Detection Dataset},
year = {2023},
isbn = {9798400701979},
publisher = {Association for Computing Machinery},
address = {New Yor... | null | null | null | null | 134,736,387 | null | null | [
"AutoModelForTokenClassification",
"distilbert",
"DistilBertForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
63fdfa9c82936dbc2e5e7a12 | d82c716f01e57f52 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 62 | eevvgg/StanceBERTa | eevvgg | null | 283 | 480,334 | False | 2023-02-28T12:59:08Z | 2023-03-08T08:16:31Z | transformers | 1 | 0 | {"error": "Schema validation error. \"model-index[0].results[0].dataset.type\" with value \"social media\" fails to match the required pattern: /^(?:[\\w-]+\\/)?[\\w-.]+$/"} | text-classification | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | 1f68e8e4bfdb71456ab52edf71e1ab922f872a31 | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"text",
"stance",
"en",
"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": null, "license_name": null, "license_link": null, "metrics": ["f1", "accuracy"], "model_name": null, "pipeline_tag": "text-classification", "tags": ["text", "stance"], "widget": [{"text": "user Bolsonaro is... | # eevvgg/StanceBERTa
<!-- Provide a quick summary of what the model is/does. -->
This model is a fine-tuned version of **distilroberta-base** model to predict 3 categories of stance (negative, positive, neutral) towards some entity mentioned in the text.
Fine-tuned on a larger and more balanced data sample compared w... | null | null | null | [
"en"
] | null | null | [
"f1",
"accuracy"
] | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
65a5a4b6c128478d75eccbe5 | 53ecf467267e2824 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 0 | nomic-ai/nomic-embed-text-v1-unsupervised | nomic-ai | null | 753 | 98,601 | False | 2024-01-15T21:33:42Z | 2024-08-02T02:24:38Z | sentence-transformers | 15 | 0 | [{"name": "epoch_0_model", "results": [{"task": {"type": "Classification"}, "dataset": {"type": "mteb/amazon_counterfactual", "name": "MTEB AmazonCounterfactualClassification (en)", "config": "en", "split": "test", "revision": "e8379541af4e31359cca9fbcf4b00f2671dba205"}, "metrics": [{"type": "accuracy", "value": 76.985... | sentence-similarity | null | [
".gitattributes",
"1_Pooling/config.json",
"README.md",
"added_tokens.json",
"config.json",
"config_sentence_transformers.json",
"modules.json",
"onnx/model.onnx",
"onnx/model_quantized.onnx",
"pytorch_model.bin",
"sentence_bert_config.json",
"special_tokens_map.json",
"tokenizer.json",
"t... | b53d557b15ae63852847c222d336c1609eced93c | [
"sentence-transformers",
"pytorch",
"onnx",
"nomic_bert",
"feature-extraction",
"sentence-similarity",
"mteb",
"transformers",
"transformers.js",
"custom_code",
"en",
"arxiv:2402.01613",
"license:apache-2.0",
"model-index",
"text-embeddings-inference",
"region:us"
] | null | {"architectures": ["NomicBertModel"], "auto_map": {"AutoConfig": "nomic-ai/nomic-bert-2048--configuration_hf_nomic_bert.NomicBertConfig", "AutoModel": "nomic-ai/nomic-bert-2048--modeling_hf_nomic_bert.NomicBertModel", "AutoModelForMaskedLM": "nomic-ai/nomic-bert-2048--modeling_hf_nomic_bert.NomicBertForPreTraining"}, "... | {
"auto_model": "AutoModel",
"custom_class": "nomic-ai/nomic-bert-2048--modeling_hf_nomic_bert.NomicBertModel",
"pipeline_tag": "feature-extraction",
"processor": null
} | {"language": ["en"], "library_name": "sentence-transformers", "license": "apache-2.0", "pipeline_tag": "sentence-similarity", "tags": ["feature-extraction", "sentence-similarity", "mteb", "transformers", "transformers.js"], "inference": false, "model-index": [{"name": "epoch_0_model", "results": [{"task": {"type": "Cla... | # nomic-embed-text-v1-unsupervised: A Reproducible Long Context (8192) Text Embedder
`nomic-embed-text-v1-unsupervised` is 8192 context length text encoder. This is a checkpoint after contrastive pretraining from multi-stage contrastive training of the
[final model](https://huggingface.co/nomic-ai/nomic-embed-text-v1... | null | [
"apache-2.0"
] | null | [
"en"
] | null | null | null | [
"AutoModel",
"NomicBertModel",
"nomic_bert",
"nomic-ai/nomic-bert-2048--modeling_hf_nomic_bert.NomicBertModel"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
6638b70f83ff2a4fb2b0f19a | 0566decb107ef807 | 656a765e42bb964a | 33,152 | BPE | 60,675 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 381 | ronigold/dictalm2.0-instruct-fine-tuned | ronigold | null | 6,244 | 120,510 | False | 2024-05-06T10:55:11Z | 2024-05-10T13:43:37Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"F16": 7251169280}, "total": 7251169280} | [
".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",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | a9631bd6d4a6a58cf92df42dfe71b113ce67597b | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...'... | {
"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": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # Model Card for ronigold/dictalm2.0-instruct-fine-tuned
This is a fine-tuned version of the Dicta-IL dictalm2.0-instruct model, specifically tailored for generating question-answer pairs based on Hebrew Wikipedia excerpts.
The model was fine-tuned to improve its ability in understanding and generating natural questi... | null | [
"mit"
] | null | null | 7,251,169,280 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
669d332dc9111326dc56fdb1 | 6e6a83dc4b556c95 | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 111 | princeton-nlp/Llama-3-8B-ProLong-64k-Instruct | princeton-nlp | {
"models": [
{
"_id": "669e55afb5aa6ec3f98baf66",
"id": "princeton-nlp/Llama-3-8B-ProLong-64k-Base"
}
],
"relation": "finetune"
} | 7,979 | 133,025 | False | 2024-07-21T16:11:25Z | 2024-10-31T13:01:53Z | transformers | 13 | 0 | null | text-generation | {"parameters": {"F32": 8030261248}, "total": 8030261248} | [
".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",
... | 56e48267f79354d7df2b842ecec1fc2b4338331f | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"dataset:princeton-nlp/prolong-data-64K",
"dataset:HuggingFaceH4/ultrachat_200k",
"arxiv:2410.02660",
"base_model:princeton-nlp/Llama-3-8B-ProLong-64k-Base",
"base_model:finetune:princeton-nlp/Llama-3-8B-ProLong-64k-Base"... | 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-3-8B-ProLong-64k-Base"], "datasets": ["princeton-nlp/prolong-data-64K", "HuggingFaceH4/ultrachat_200k"], "eval_results": null, "language": null, "library_name": null, "license": "llama3", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag"... | # princeton_nlp/Llama-3-8B-ProLong-64k-Instruct
[[Paper](https://arxiv.org/pdf/2410.02660)] [[HF Collection](https://huggingface.co/collections/princeton-nlp/prolong-66c72d55d2051a86ac7bd7e4)] [[Code](https://github.com/princeton-nlp/ProLong)]
**ProLong** (<u>Pr</u>incet<u>o</u>n <u>long</u>-context language models)... | null | [
"llama3"
] | [
"princeton-nlp/prolong-data-64K",
"HuggingFaceH4/ultrachat_200k"
] | null | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc136468d709f1794d2 | 7b1980ee12531453 | 101408923f784238 | 64,000 | WordPiece | null | true | true | true | true | 8 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 976 | aubmindlab/araelectra-base-discriminator | aubmindlab | null | 640 | 96,727 | False | 2022-03-02T23:29:05Z | 2024-10-29T13:27:11Z | transformers | 5 | 0 | null | null | {"parameters": {"I64": 512, "F32": 135194113}, "total": 135194625} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"pytorch_model.bin",
"runs/eval/events.out.tfevents.1608684601.tpu-mother",
"runs/events.out.tfevents.1605740879.tpu-mother",
"runs/events.out.tfevents.1606616549.tpu-mother",
"runs/events.out.tfevents.1606651214.tpu-mother",
"runs... | aaa9fba5575bd531d45cec3eccf24b755e0dccca | [
"transformers",
"pytorch",
"tf",
"tensorboard",
"safetensors",
"electra",
"pretraining",
"ar",
"arxiv:1406.2661",
"arxiv:2012.15516",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["ElectraForPreTraining"], "model_type": "electra", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForPreTraining",
"custom_class": null,
"pipeline_tag": "pretraining",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": "ar", "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # AraELECTRA
<img src="https://raw.githubusercontent.com/aub-mind/arabert/master/AraELECTRA.png" width="100" align="left"/>
**ELECTRA** is a method for self-supervised language representation learning. It can be used to pre-train transformer networks using relatively little compute. ELECTRA models are trained to dist... | null | null | null | [
"ar"
] | 135,194,625 | null | null | [
"ElectraForPreTraining",
"AutoModelForPreTraining",
"electra"
] | [
"pretraining"
] | null | null | null |
64b8694995bd42c77074f327 | e23b6bdbe047bb7e | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 46 | daryl149/llama-2-7b-hf | daryl149 | null | 161 | 92,573 | False | 2023-07-19T22:52:57Z | 2023-07-23T17:14:12Z | transformers | 21 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"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",
"tokenizer_config.json"
] | 142d0a5354ab12acdfff745a4d5c2ced307970dd | [
"transformers",
"pytorch",
"llama",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | 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"
} | null | null | null | null | null | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] | |
6538d96d1ad9b3ba7c2d3a88 | 57daa98777951f37 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 905 | DAMO-NLP-SG/roberta-time_identification | DAMO-NLP-SG | null | 16 | 92,221 | False | 2023-10-25T09:01:33Z | 2023-10-26T05:51:52Z | transformers | 2 | 0 | [{"name": "tim_expression_identify.2", "results": []}] | token-classification | null | [
".gitattributes",
"README.md",
"all_results.json",
"config.json",
"eval_results.json",
"merges.txt",
"predict_results.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"train_results.json",
"vocab.json"
] | 93101e30c0ef55349fd98e087d3880dfc6218fdc | [
"transformers",
"pytorch",
"roberta",
"token-classification",
"generated_from_trainer",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | 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": null, "datasets": null, "eval_results": [], "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": "tim_expression_identify.2", "pipeline_tag": null, "tags": ["generated_from_trainer"]} | ## Model description
This model is a fine-tuned version of RoBERTa.
## Intended uses & limitations
For identifying time expressions in text. This model works in a NER-like manner but only focuses on time expressions.
- You may try an example sentence using the hosted inference API on HuggingFace:
*In Generatio... | null | null | null | null | null | null | null | [
"roberta",
"AutoModelForTokenClassification",
"RobertaForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
678eb1cf4317d5f0d0398bbd | add93edf741dd6cc | 1b9fd2d5dbbc6e0d | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 344 | Valdemardi/DeepSeek-R1-Distill-Llama-70B-AWQ | Valdemardi | {
"models": [
{
"_id": "678e13bdda686d5964869153",
"id": "deepseek-ai/DeepSeek-R1-Distill-Llama-70B"
}
],
"relation": "quantized"
} | 3,742 | 103,344 | False | 2025-01-20T20:27:59Z | 2025-01-20T20:27:59Z | transformers | 20 | 1 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"figures/benchmark.jpg",
"generation_config.json",
"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-000... | ebfea7be35ca86beee303282386399416205c306 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"base_model:deepseek-ai/DeepSeek-R1-Distill-Llama-70B",
"base_model:quantized:deepseek-ai/DeepSeek-R1-Distill-Llama-70B",
"license:llama3.3",
"text-generation-inference",
"endpoints_compatible",
"4-bit",
"awq",
"dep... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"bits": 4, "quant_method": "awq"}, "tokenizer_config": {"bos_token": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["deepseek-ai/DeepSeek-R1-Distill-Llama-70B"], "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "llama3.3", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null, "base_model_relation": "quan... | # DeepSeek-R1
## Quantization Details
This quantized model was created using AutoAWQ version 0.2.8 with `quant_config`:
```
{
"zero_point": True,
"q_group_size": 128,
"w_bit": 4,
"version": "GEMM"
}
```
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable n... | null | [
"llama3.3"
] | null | null | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6461d630805bf40127043e67 | 1518b5b91df51a3a | 06c049f6287d7099 | 52,000 | BPE | 51,760 | true | true | true | true | 2 | NFKC | ByteLevel | ByteLevel | [
"NFKC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 604 | cyberagent/open-calm-large | cyberagent | null | 851 | 96,901 | False | 2023-05-15T06:50:24Z | 2023-05-18T01:11:13Z | transformers | 10 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | f9b7a3222967b15169a09bcc86b118ac68a1ad62 | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"japanese",
"causal-lm",
"ja",
"dataset:wikipedia",
"dataset:cc100",
"dataset:mc4",
"license:cc-by-sa-4.0",
"text-generation-inference",
"deploy:azure",
"region:us"
] | null | {"architectures": ["GPTNeoXForCausalLM"], "model_type": "gpt_neox", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "pad_token": "<|padding|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["wikipedia", "cc100", "mc4"], "eval_results": null, "language": ["ja"], "library_name": null, "license": "cc-by-sa-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["japanese", "causal-lm"], "inference": false} | # OpenCALM-Large
## Model Description
OpenCALM is a suite of decoder-only language models pre-trained on Japanese datasets, developed by CyberAgent, Inc.
## Usage
```python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("cyberagent/open-calm-l... | null | [
"cc-by-sa-4.0"
] | [
"wikipedia",
"cc100",
"mc4"
] | [
"ja"
] | null | null | null | [
"gpt_neox",
"AutoModelForCausalLM",
"GPTNeoXForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
662d3f538b8705f303879c10 | 0a7822652805d726 | 5804582129e1dcb4 | 128,257 | BPE | 280,147 | false | true | true | true | 257 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 977 | MaziyarPanahi/calme-2.2-llama3-70b | MaziyarPanahi | {
"models": [
{
"_id": "661f97be9cae93c02393e8ef",
"id": "meta-llama/Meta-Llama-3-70B-Instruct"
}
],
"relation": "finetune"
} | 7,863 | 130,207 | False | 2024-04-27T18:09:23Z | 2024-07-20T13:20:13Z | transformers | 17 | 0 | [{"name": "calme-2.2-llama3-70b", "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": 72.53, "name": "... | text-generation | {"parameters": {"BF16": 70553722880}, "total": 70553722880} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"llama-3-70b-top-10.png",
"llama-3-merges.webp",
"llama-qwen2-leaderboard.png",
"model-00001-of-00030.safetensors",
"model-00002-of-00030.safetensors",
"model-00003-of-00030.safetensors",
"model-00004-of-00030.safetensors",
... | 304135493beea3a54fec0ba111b750fd3185c007 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"axolotl",
"finetune",
"dpo",
"facebook",
"meta",
"pytorch",
"llama-3",
"chatml",
"conversational",
"en",
"dataset:Intel/orca_dpo_pairs",
"base_model:meta-llama/Meta-Llama-3-70B-Instruct",
"base_model:finetune:meta-llama/Meta... | 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-Instruct", "datasets": ["Intel/orca_dpo_pairs"], "language": ["en"], "library_name": "transformers", "license": "llama3", "license_name": "llama3", "license_link": "LICENSE", "pipeline_tag": "text-generation", "tags": ["axolotl", "finetune", "dpo", "facebook", "meta", "pytorc... | <img src="./llama-3-merges.webp" alt="Llama-3 DPO Logo" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# MaziyarPanahi/calme-2.2-llama3-70b
This model is a fine-tune (DPO) of `meta-llama/Meta-Llama-3-70B-Instruct` model.
PS: This fine-tuned model was previously known as `MaziyarPanahi/... | null | [
"llama3",
"llama3",
"LICENSE"
] | [
"Intel/orca_dpo_pairs"
] | [
"en"
] | 70,553,722,880 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6552c2ea5c34aff460b048bf | 002e93bda29b6e9c | dddad82cb50bdb30 | 32,005 | BPE | 58,980 | true | false | true | true | 8 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 755 | Locutusque/TinyMistral-248M | Locutusque | null | 883 | 96,277 | False | 2023-11-14T00:44:26Z | 2024-05-09T13:48:43Z | transformers | 50 | 0 | null | text-generation | {"parameters": {"F32": 248024064}, "total": 248024064} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"model.safetensors",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | e84fb52945d42de4f2361b6047decdc65426dc2b | [
"transformers",
"pytorch",
"safetensors",
"mistral",
"text-generation",
"en",
"dataset:Skylion007/openwebtext",
"dataset:JeanKaddour/minipile",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<|bos|>", "eos_token": "<|endoftext|>", "pad_token": "[PAD]", "unk_token": "<unk>", "use_default_system_prompt": true}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["Skylion007/openwebtext", "JeanKaddour/minipile"], "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": null, "inference": {"p... | A pre-trained language model, based on the Mistral 7B model, has been scaled down to approximately 248 million parameters. This model has been trained on 7,488,000 examples. This model isn't intended for direct use but for fine-tuning on a downstream task.
This model should have a context length of around 32,768 tokens... | null | [
"apache-2.0"
] | [
"Skylion007/openwebtext",
"JeanKaddour/minipile"
] | [
"en"
] | 248,024,064 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
651dba7699c3409418312981 | a539070f46a63c93 | ef4806e2ade9022f | 32,100 | Unigram | null | true | true | true | true | 103 | Precompiled | Sequence | Metaspace | [
"Precompiled"
] | [
"WhitespaceSplit",
"Metaspace"
] | [
"Metaspace"
] | 110 | Kyle1668/imdb-t5-large | Kyle1668 | null | 4 | 4 | False | 2023-10-04T19:18:14Z | 2023-10-04T20:24:20Z | transformers | 0 | 0 | null | null | null | [
".gitattributes",
"config.json",
"generation_config.json",
"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_args.bin"
] | 64c4527f0929b3201fdf2742e3c8da9f2a0454bd | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"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"
} | null | null | null | null | null | null | null | null | null | [
"t5",
"T5ForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation"
] | null | null | null |
621ffdc136468d709f17bd19 | 634a9186a6003172 | 5f9f736c7dc6fbfa | 28,996 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 8 | huggingface-course/bert-finetuned-ner | huggingface-course | null | 596 | 92,912 | False | 2022-03-02T23:29:05Z | 2022-12-05T23:49:09Z | transformers | 17 | 0 | [{"name": "test-bert-finetuned-ner", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"name": "conll2003", "type": "conll2003", "args": "conll2003"}, "metrics": [{"type": "precision", "value": 0.9354625186165811, "name": "Precision", "verified": false}, {"type": "recall... | token-classification | null | [
".gitattributes",
".gitignore",
"README.md",
"config.json",
"emissions.csv",
"pytorch_model.bin",
"runs/Sep23_18-07-27_brahms/1632434856.9237432/events.out.tfevents.1632434856.brahms.762486.1",
"runs/Sep23_18-07-27_brahms/events.out.tfevents.1632434856.brahms.762486.0",
"special_tokens_map.json",
... | eeb278479b28c3afca6d179b2031d62393c08a4b | [
"transformers",
"pytorch",
"tf",
"tensorboard",
"bert",
"token-classification",
"generated_from_trainer",
"dataset:conll2003",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"datasets": ["conll2003"], "license": "apache-2.0", "metrics": ["precision", "recall", "f1", "accuracy"], "tags": ["generated_from_trainer"], "model-index": [{"name": "test-bert-finetuned-ner", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"name": "conll2003", "type... | <!-- 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. -->
# test-bert-finetuned-ner
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the co... | null | [
"apache-2.0"
] | [
"conll2003"
] | null | null | null | [
"precision",
"recall",
"f1",
"accuracy"
] | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc136468d709f179b2e | 35f8a93a304f6b78 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 6 | bloomberg/KeyBART | bloomberg | null | 263 | 94,572 | False | 2022-03-02T23:29:05Z | 2023-02-21T18:06:45Z | transformers | 40 | 0 | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 4fe0fe623e1c86c582cad6d8430e6069a82af27d | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BartForConditionalGeneration"], "model_type": "bart", "tokenizer_config": {"unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "n... | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-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} | # KeyBART
KeyBART as described in "Learning Rich Representations of Keyphrase from Text" published in the Findings of NAACL 2022 (https://aclanthology.org/2022.findings-naacl.67.pdf), pre-trains a BART-based architecture to produce a concatenated sequence of keyphrases in the CatSeqD format.
We provide some examples o... | null | [
"apache-2.0"
] | null | null | null | null | null | [
"bart",
"BartForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation"
] | null | null | null |
663c3c83dbcd748af7945b61 | 803e3c8528c55bf1 | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 352 | freewheelin/free-llama3-dpo-v0.2 | freewheelin | null | 8,379 | 132,817 | False | 2024-05-09T03:01:23Z | 2024-05-09T03:15:13Z | transformers | 0 | 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",
"... | 2caf1189046172cce115824313971aee5a429df3 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"ko",
"en",
"arxiv:2312.15166",
"license:mit",
"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|>", "pad_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": ["ko", "en"], "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # Model Card for free-llama-dpo-v0.2
## Developed by : [Freewheelin](https://freewheelin-recruit.oopy.io/) AI Technical Team
## Hardware and Software
* **Training Factors**: We fine-tuned this model using the [HuggingFace TRL Trainer](https://huggingface.co/docs/trl/trainer)
## Method
- This model was trained using... | null | [
"mit"
] | null | [
"ko",
"en"
] | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
64ec9e86d848efd8a69ac2a1 | b64f399424c8faa5 | 8570126679cbb427 | 45,043 | BPE | 64,040 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 978 | elyza/ELYZA-japanese-Llama-2-7b-fast | elyza | null | 1,114 | 97,324 | False | 2023-08-28T13:17:58Z | 2023-08-29T03:46:37Z | transformers | 23 | 0 | null | text-generation | null | [
".gitattributes",
"LICENCE.txt",
"README.md",
"config.json",
"generation_config.json",
"key_visual.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_config.json"
] | e326078aa122fb1c4973997952d7b8630071776a | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ja",
"en",
"arxiv:2307.09288",
"license:llama2",
"text-generation-inference",
"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": ["ja", "en"], "library_name": null, "license": "llama2", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | ## ELYZA-japanese-Llama-2-7b
### Model Description
**ELYZA-japanese-Llama-2-7b** は、 Llama2をベースとして日本語能力を拡張するために追加事前学習を行ったモデルです。
詳細は [Blog記事](https://note.com/elyza/n/na405acaca130) を参照してください。
### Usage
```python
import torch
from transformers import AutoModelForCausa... | null | [
"llama2"
] | null | [
"ja",
"en"
] | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
62cd8747248f9e6bc20afafb | 2012b52fa41ec860 | db117e9883c4d0ab | 50,257 | BPE | 50,000 | false | true | true | true | 1 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 113 | neulab/gpt2-finetuned-wikitext103 | neulab | null | 1,572 | 94,849 | False | 2022-07-12T14:37:59Z | 2022-07-14T15:38:21Z | transformers | 2 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | f042c5d9d998c564e49cddb98ddec90148e5aa43 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"arxiv:2201.12431",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | -: | ---: |
| base perplexity | 18.25 | 14.84 |
| +kNN-LM | 15.03 | 12.57 |
| +RetoMaton | **14.70** | **12.46** |
This model was released as part of the paper ["Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval"](https://arxiv.org/pdf/2201.12431.pdf) (ICML'2... | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6634254f711676860afe8d6e | 80b9827713daf135 | 313e1f7816f45106 | 151,851 | BPE | 151,387 | false | true | true | true | 208 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 833 | freewheelin/free-evo-qwen72b-v0.8-re | freewheelin | null | 8,409 | 132,735 | False | 2024-05-02T23:44:15Z | 2024-05-07T00:46:46Z | transformers | 4 | 0 | [{"name": "free-evo-qwen72b-v0.8-re", "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": 79.86, "name... | text-generation | {"parameters": {"F16": 72287920128}, "total": 72287920128} | [
".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... | 24e301d8fbef8ada12be42156b01c827ff594962 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"en",
"license:mit",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"language": ["en"], "library_name": "transformers", "license": "mit", "model-index": [{"name": "free-evo-qwen72b-v0.8-re", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config": "ARC-Challenge", "split": "test",... | # Model Card for free-evo-qwen72b-v0.8
## Developed by : [Freewheelin](https://freewheelin-recruit.oopy.io/) AI Technical Team
## 2024 4th May - avg. 81.28 [Open Llm Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
| Metric |Value|
|--------------------------... | null | [
"mit"
] | null | [
"en"
] | 72,287,920,128 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65986a165f7a6d40f7cfe355 | 8a2ab6d0c7c90c45 | 94e8ac807f758b5c | 50,000 | BPE | 46,638 | true | false | true | false | 2 | Sequence | null | null | [
"StripAccents",
"Replace",
"Replace",
"Replace",
"Replace"
] | null | null | 884 | claudios/VulBERTa-MLP-VulDeePecker | claudios | null | 26 | 91,610 | False | 2024-01-05T20:44:06Z | 2024-05-22T03:31:53Z | transformers | 0 | 0 | null | text-classification | {"parameters": {"F32": 124836866}, "total": 124836866} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenization_vulberta.py",
"tokenizer.json",
"tokenizer_config.json"
] | 4e8a8fe9eb26e61ab7a2619fe2841019cc45b3e2 | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"vuldeepecker",
"defect detection",
"code",
"dataset:VulDeePecker",
"arxiv:1801.01681",
"license:mit",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForSequenceClassification"], "model_type": "roberta", "tokenizer_config": {"pad_token": "<pad>"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["VulDeePecker"], "eval_results": null, "language": null, "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": ["accuracy", "precision", "recall", "f1", "roc_auc"], "model_name": null, "pipeline_tag": "text-classification", "tags": ["vuldeepecke... | # VulBERTa MLP Devign
## VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection
## Overview
This model is the unofficial HuggingFace version of "[VulBERTa](https://github.com/ICL-ml4csec/VulBERTa/tree/main)... | null | [
"mit"
] | [
"VulDeePecker"
] | null | 124,836,866 | null | [
"accuracy",
"precision",
"recall",
"f1",
"roc_auc"
] | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
673f91fac1c97c4f41108c80 | 7b66071fbb0d7bdc | 7d900c9c71170270 | 257,153 | BPE | 580,604 | true | true | true | true | 1,370 | Replace | Split | Sequence | [
"Replace"
] | [
"Split"
] | [
"Replace",
"ByteFallback",
"Fuse"
] | 171 | google/paligemma2-10b-mix-448 | google | null | 624 | 135,600 | manual | 2024-11-21T20:03:06Z | 2025-02-07T15:13:38Z | transformers | 35 | 0 | null | image-text-to-text | null | [
".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",
"preprocessor_config.json",
"special_tokens_map.... | b26d16fb4251090ba4a4aa5af9fca1f8248ed5b6 | [
"transformers",
"safetensors",
"paligemma",
"image-text-to-text",
"arxiv:2407.07726",
"arxiv:2408.00118",
"arxiv:2310.09199",
"arxiv:2303.15343",
"arxiv:1706.03762",
"arxiv:2010.11929",
"arxiv:2209.06794",
"arxiv:2209.04372",
"arxiv:2103.01913",
"arxiv:1908.04913",
"arxiv:1906.02467",
... | null | {"architectures": ["PaliGemmaForConditionalGeneration"], "model_type": "paligemma", "tokenizer_config": {"bos_token": "<bos>", "eos_token": "<eos>", "pad_token": "<pad>", "unk_token": "<unk>", "use_default_system_prompt": false}} | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"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": "image-text-to-text", "tags": null, "extra_gated_heading": "Access PaliGemma on Hugging Face... | null | null | [
"gemma"
] | null | null | null | null | null | [
"PaliGemmaForConditionalGeneration",
"AutoModelForImageTextToText",
"paligemma"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
64f13225d43a09a257f11af3 | 6949732424a8d297 | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 42 | migtissera/Synthia-7B-v1.2 | migtissera | null | 800 | 95,899 | False | 2023-09-01T00:36:53Z | 2023-11-17T21:30:38Z | transformers | 10 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"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",
"tokenizer_config.json"
] | 3ffaa3f07b24b1b53495233a39ccd9e7b18595e5 | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"arxiv:2306.02707",
"arxiv:2302.13971",
"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": 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": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "llama2", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": null} | Change from Synthia-7B -> Synthia-7B-v1.2: Capable of generalized Tree of Thought + Chain of Thought reasoning.
All Synthia models are uncensored. Please use it with caution and with best intentions. You are responsible for how you use Synthia.
To evoke generalized Tree of Thought + Chain of Thought reasoning, you ma... | null | [
"llama2"
] | null | [
"en"
] | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
658be678cffe7d2208867449 | e13e797c6a217a23 | dc13b7cd7935bff4 | 32,001 | BPE | 58,980 | true | false | true | true | 4 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 627 | dphn/dolphin-2.6-mistral-7b | dphn | null | 47,598 | 156,171 | False | 2023-12-27T08:55:20Z | 2023-12-28T22:12:24Z | transformers | 105 | 0 | null | text-generation | {"parameters": {"BF16": 7241740288}, "total": 7241740288} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"configs/dolphin-mistral-7b.yml",
"configs/modify-tokenizer.py",
"eval.sh",
"eval_results.json",
"generation_config.json",
"latest",
"model-00001-of-00003.safetensors",
"model-00002-of-00003.safetensors",
"model-00003-of-0000... | 61981ccfb93bad331c8d3da97aafeb13596afc9d | [
"transformers",
"pytorch",
"safetensors",
"mistral",
"text-generation",
"en",
"dataset:ehartford/dolphin",
"dataset:jondurbin/airoboros-2.2.1",
"dataset:ehartford/dolphin-coder",
"dataset:teknium/openhermes",
"dataset:ise-uiuc/Magicoder-OSS-Instruct-75K",
"dataset:ise-uiuc/Magicoder-Evol-Instr... | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "eos_token": "<|im_end|>", "pad_token": "<|im_end|>", "unk_token": "<unk>", "use_default_system_prompt": false}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["ehartford/dolphin", "jondurbin/airoboros-2.2.1", "ehartford/dolphin-coder", "teknium/openhermes", "ise-uiuc/Magicoder-OSS-Instruct-75K", "ise-uiuc/Magicoder-Evol-Instruct-110K", "LDJnr/Capybara"], "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0",... | null | null | [
"apache-2.0"
] | [
"ehartford/dolphin",
"jondurbin/airoboros-2.2.1",
"ehartford/dolphin-coder",
"teknium/openhermes",
"ise-uiuc/Magicoder-OSS-Instruct-75K",
"ise-uiuc/Magicoder-Evol-Instruct-110K",
"LDJnr/Capybara"
] | [
"en"
] | 7,241,740,288 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
665f5840c42cab782f91c1a4 | 803e3c8528c55bf1 | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 352 | MaziyarPanahi/Llama-3-8B-Instruct-v0.10 | MaziyarPanahi | {
"models": [
{
"_id": "66583e16ee15932043bb3172",
"id": "MaziyarPanahi/Llama-3-8B-Instruct-v0.9"
}
],
"relation": "finetune"
} | 7,840 | 129,355 | False | 2024-06-04T18:09:04Z | 2024-07-19T08:14:54Z | transformers | 6 | 0 | [{"name": "Llama-3-8B-Instruct-v0.10", "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": 76.67, "name": "stri... | text-generation | {"parameters": {"BF16": 8030261248}, "total": 8030261248} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"llama-3-merges.webp",
"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"... | 55a6fc03e04f1a68a5e2df16f3d0485d9ea357c8 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"axolotl",
"finetune",
"facebook",
"meta",
"pytorch",
"llama-3",
"conversational",
"en",
"base_model:MaziyarPanahi/Llama-3-8B-Instruct-v0.9",
"base_model:finetune:MaziyarPanahi/Llama-3-8B-Instruct-v0.9",
"license:other",
"model... | 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 %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|s... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "MaziyarPanahi/Llama-3-8B-Instruct-v0.9", "language": ["en"], "library_name": "transformers", "license": "other", "license_name": "llama3", "license_link": "LICENSE", "pipeline_tag": "text-generation", "tags": ["axolotl", "finetune", "facebook", "meta", "pytorch", "llama", "llama-3"], "inference": false,... | <img src="./llama-3-merges.webp" alt="Llama-3 DPO Logo" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Llama-3-8B-Instruct-v0.10
This model was developed based on `MaziyarPanahi/Llama-3-8B-Instruct-v0.9` model.
# ⚡ Quantized GGUF
All GGUF models are available here: [MaziyarPanahi/Ll... | null | [
"other",
"llama3",
"LICENSE"
] | null | [
"en"
] | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66568cb076582ebbd39a60d9 | cf5cf3c3b9baa092 | 711173a19e789885 | 84,608 | BPE | 85,122 | true | false | true | true | 6 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 966 | vaiv/GeM2-Llamion-14B-LongChat | vaiv | null | 8,370 | 132,348 | False | 2024-05-29T02:02:24Z | 2024-06-26T12:29:40Z | transformers | 4 | 0 | null | text-generation | {"parameters": {"BF16": 14498288640}, "total": 14498288640} | [
".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... | b5c0c578137657ade63ae363d5041b97cc8c8163 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:apache-2.0",
"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": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # **GeM2-Llamion-14B**
We have released **Llamion** as **GeM 2.0**, the second series of generative models developed by VAIV Company to address the our principal business needs.
**Llamion** (Llamafied Orion) is derived from transforming the [Orion model](https://huggingface.co/OrionStarAI/Orion-14B-LongChat)
into [th... | null | [
"apache-2.0"
] | null | null | 14,498,288,640 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67b7358a908876d5bc3ba56c | 2cdba62b0ecdc386 | c0d8706e90709d09 | 49,155 | BPE | 48,872 | false | true | false | true | 41 | null | Sequence | ByteLevel | null | [
"Digits",
"ByteLevel"
] | [
"ByteLevel"
] | 588 | modularStarEncoder/ModularStarEncoder-finetuned-27 | modularStarEncoder | {
"models": [
{
"_id": "67b50abaa64445f58c6621d8",
"id": "modularStarEncoder/ModularStarEncoder"
}
],
"relation": "finetune"
} | 26 | 98,242 | False | 2025-02-20T14:00:42Z | 2025-05-21T08:24:59Z | transformers | 0 | 0 | null | feature-extraction | {"parameters": {"BF16": 803232257}, "total": 803232257} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"config.py",
"merges.txt",
"model.safetensors",
"modularStarEncoder.py",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | d0514536eaf63eb26e329b7a2e21051244c62374 | [
"transformers",
"safetensors",
"ModularStarEncoder",
"feature-extraction",
"custom_code",
"dataset:bigcode/the-stack-v2",
"dataset:modularStarEncoder/SynthCode2Code2NL-neardedup",
"arxiv:2503.03008",
"arxiv:2307.16885",
"base_model:modularStarEncoder/ModularStarEncoder",
"base_model:finetune:mod... | null | {"architectures": ["ModularStarEncoder"], "auto_map": {"AutoConfig": "config.ModularStarEncoderConfig", "AutoModel": "modularStarEncoder.ModularStarEncoder"}, "model_type": "ModularStarEncoder", "tokenizer_config": {"bos_token": "<|endoftext|>", "cls_token": "<cls>", "eos_token": "<|endoftext|>", "mask_token": "<mask>"... | {
"auto_model": "AutoModel",
"custom_class": "modularStarEncoder.ModularStarEncoder",
"pipeline_tag": "feature-extraction",
"processor": null
} | {"base_model": ["modularStarEncoder/ModularStarEncoder"], "datasets": ["bigcode/the-stack-v2", "modularStarEncoder/SynthCode2Code2NL-neardedup"], "eval_results": null, "language": null, "library_name": "transformers", "license": "bigcode-openrail-m", "license_name": null, "license_link": null, "metrics": null, "model_n... | # ModularStarEncoder-800M Fine-Tuned model
<!-- Provide a quick summary of what the model is/does. -->
ModularStarEncoder-finetuned-27 is an encoder built on top of [ModularStarEncoder-1B Pre-trained](https://huggingface.co/andreagurioli1995/ModularStarEncoder) on [SynthCoNL](https://huggingface.co/datasets/andreagur... | null | [
"bigcode-openrail-m"
] | [
"bigcode/the-stack-v2",
"modularStarEncoder/SynthCode2Code2NL-neardedup"
] | null | 803,232,257 | null | null | [
"modularStarEncoder.ModularStarEncoder",
"ModularStarEncoder",
"AutoModel"
] | [
"feature-extraction"
] | [
"multimodal"
] | [
"text"
] | [
"embeddings"
] |
6478d3a425e06d2ffe89e05a | e0f07aa3829b1373 | 7a2af85852115cc6 | 65,025 | BPE | 64,784 | false | true | false | true | 13 | null | Sequence | ByteLevel | null | [
"Punctuation",
"ByteLevel",
"Digits",
"Split"
] | [
"ByteLevel"
] | 979 | TheBloke/WizardLM-Uncensored-Falcon-7B-GPTQ | TheBloke | null | 82 | 91,464 | False | 2023-06-01T17:21:40Z | 2023-08-21T10:28:42Z | transformers | 70 | 0 | null | text-generation | {"parameters": {"I32": 6625951744, "BF16": 591247104, "F16": 1021952}, "total": 7218220800} | [
".gitattributes",
"README.md",
"config.json",
"configuration_RW.py",
"generation_config.json",
"model.safetensors",
"modelling_RW.py",
"quantize_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"zero_to_fp32.py"
] | 471945be323e3deaf794695c65cccfbd9732d4e7 | [
"transformers",
"safetensors",
"RefinedWebModel",
"text-generation",
"custom_code",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"4-bit",
"gptq",
"region:us"
] | null | {"architectures": ["RWForCausalLM"], "auto_map": {"AutoConfig": "configuration_RW.RWConfig", "AutoModelForCausalLM": "modelling_RW.RWForCausalLM"}, "model_type": "RefinedWebModel", "quantization_config": {"bits": 4, "quant_method": "gptq"}, "tokenizer_config": {"eos_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "modelling_RW.RWForCausalLM",
"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} | <!-- 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 | [
"apache-2.0"
] | null | null | 7,218,220,800 | null | null | [
"AutoModelForCausalLM",
"RWForCausalLM",
"RefinedWebModel",
"modelling_RW.RWForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
685f7fed29247db9f6e16a6d | bc23e733a7166c39 | 61daf977e586b75c | 101,304 | BPE | 182,926 | true | false | true | true | 1,029 | Sequence | null | Sequence | [
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse"
] | 487 | baidu/ERNIE-4.5-300B-A47B-PT | baidu | null | 766 | 94,102 | False | 2025-06-28T05:38:53Z | 2025-11-26T07:52:13Z | transformers | 74 | 0 | null | text-generation | null | [
".gitattributes",
"LICENSE",
"README.md",
"added_tokens.json",
"chat_template.jinja",
"config.json",
"generation_config.json",
"model-00001-of-00123.safetensors",
"model-00002-of-00123.safetensors",
"model-00003-of-00123.safetensors",
"model-00004-of-00123.safetensors",
"model-00005-of-00123.s... | 47bbaf1c9e356313c3cb2ded9078a494fb152f0e | [
"transformers",
"safetensors",
"ernie4_5_moe",
"text-generation",
"ERNIE4.5",
"conversational",
"en",
"zh",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["Ernie4_5_MoeForCausalLM"], "model_type": "ernie4_5_moe", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<|begin_of_sentence|>", "eos_token": "</s>", "mask_token": "<mask:1>", "pad_token": "<unk>", "sep_token": "<|end_of_sentence|>", "unk_token": "<unk>", "use_default_system_prompt": false}, ... | {
"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": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["ERNIE4.5"]} | <div align="center" style="line-height: 1;">
<a href="https://ernie.baidu.com/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/🤖_Chat-ERNIE_Bot-blue" style="display: inline-block; vertical-align: middle;"/>
</a>
<a href="https://huggingface.co/baidu" target="_blank" s... | null | [
"apache-2.0"
] | null | [
"en",
"zh"
] | null | null | null | [
"Ernie4_5_MoeForCausalLM",
"AutoModelForCausalLM",
"ernie4_5_moe"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65986a160c972f4c77591b10 | 8a2ab6d0c7c90c45 | 94e8ac807f758b5c | 50,000 | BPE | 46,638 | true | false | true | false | 2 | Sequence | null | null | [
"StripAccents",
"Replace",
"Replace",
"Replace",
"Replace"
] | null | null | 884 | claudios/VulBERTa-MLP-Draper | claudios | null | 27 | 91,263 | False | 2024-01-05T20:44:06Z | 2024-05-22T03:31:33Z | transformers | 0 | 0 | [{"name": "VulBERTa MLP", "results": [{"task": {"type": "defect-detection"}, "dataset": {"name": "codexglue-devign", "type": "codexglue-devign"}, "metrics": [{"name": "Accuracy", "type": "Accuracy", "value": 64.71, "verified": false}, {"name": "Precision", "type": "Precision", "value": 64.8, "verified": false}, {"name"... | text-classification | {"parameters": {"F32": 124836866}, "total": 124836866} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenization_vulberta.py",
"tokenizer.json",
"tokenizer_config.json"
] | f93ecad0cffbbf03dc857ec1f56d87e4f78a0fe0 | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"devign",
"defect detection",
"code",
"dataset:code_x_glue_cc_defect_detection",
"license:mit",
"model-index",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForSequenceClassification"], "model_type": "roberta", "tokenizer_config": {"pad_token": "<pad>"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"datasets": ["code_x_glue_cc_defect_detection"], "license": "mit", "metrics": ["accuracy", "precision", "recall", "f1", "roc_auc"], "pipeline_tag": "text-classification", "tags": ["devign", "defect detection", "code"], "arxiv": 2205.12424, "model-index": [{"name": "VulBERTa MLP", "results": [{"task": {"type": "defect-... | # VulBERTa MLP Devign
## VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection
## Overview
This model is the unofficial HuggingFace version of "[VulBERTa](https://github.com/ICL-ml4csec/VulBERTa/tree/main)... | null | [
"mit"
] | [
"code_x_glue_cc_defect_detection"
] | null | 124,836,866 | null | [
"accuracy",
"precision",
"recall",
"f1",
"roc_auc"
] | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6502214794601e9a219396f3 | e23b6bdbe047bb7e | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 46 | oh-yeontaek/llama-2-13B-LoRA-assemble | oh-yeontaek | null | 759 | 95,289 | False | 2023-09-13T20:53:27Z | 2023-09-13T21:39:41Z | transformers | 8 | 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.model",
"tokenizer_config.json"
] | 85bb49d333dba4a08b051418663d16853ce30cee | [
"transformers",
"pytorch",
"llama",
"text-generation",
"text-generation-inference",
"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"
} | null | null | null | null | null | null | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66755bb9bd6e32596f8e135c | b832328b962dff78 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 728 | parsawar/profanity_model_3.1 | parsawar | null | 512 | 94,813 | False | 2024-06-21T10:53:45Z | 2026-01-17T15:22:58Z | transformers | 2 | 0 | null | text-classification | {"parameters": {"F32": 124647170}, "total": 124647170} | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | d13ff4d5a07852b47d83710cc51fdd120f36eda5 | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"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": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | Updated version of text profanity, trained on 2 lakh textual data.
0 = non-offensive,
1 = offensive | null | [
"apache-2.0"
] | null | null | 124,647,170 | null | null | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
666aaa944a6c703a09ed4ff4 | 88cd37e502d27a0a | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 88 | vicgalle/Configurable-Janus-7B | vicgalle | {
"models": [
{
"_id": "662a1b83e803aa66c716a7db",
"id": "kaist-ai/janus-dpo-7b"
},
{
"_id": "666836763cb8e1be3d260860",
"id": "vicgalle/Configurable-Mistral-7B"
}
],
"relation": "merge"
} | 7,764 | 128,676 | False | 2024-06-13T08:15:16Z | 2024-06-13T08:20:21Z | transformers | 2 | 0 | null | text-generation | {"parameters": {"F16": 7241732096}, "total": 7241732096} | [
".gitattributes",
"README.md",
"config.json",
"mergekit_config.yml",
"model-00001-of-00003.safetensors",
"model-00002-of-00003.safetensors",
"model-00003-of-00003.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | a50c423332324e1fbc346eeadcfe74a7013ec6c1 | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"arxiv:2203.05482",
"base_model:kaist-ai/janus-dpo-7b",
"base_model:merge:kaist-ai/janus-dpo-7b",
"base_model:vicgalle/Configurable-Mistral-7B",
"base_model:merge:vicgalle/Configurable-Mistral-7... | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...'... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["vicgalle/Configurable-Mistral-7B", "kaist-ai/janus-dpo-7b"], "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["mergekit", "merge"]} | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The following models were included in the merge:
* [vicgal... | null | [
"mit"
] | null | null | 7,241,732,096 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65986a16816bb94a4ff61222 | 8a2ab6d0c7c90c45 | 94e8ac807f758b5c | 50,000 | BPE | 46,638 | true | false | true | false | 2 | Sequence | null | null | [
"StripAccents",
"Replace",
"Replace",
"Replace",
"Replace"
] | null | null | 884 | claudios/VulBERTa-MLP-MVD | claudios | null | 732 | 91,907 | False | 2024-01-05T20:44:06Z | 2024-05-22T03:32:04Z | transformers | 0 | 0 | [{"name": "VulBERTa MLP", "results": [{"task": {"type": "defect-detection"}, "dataset": {"name": "codexglue-devign", "type": "codexglue-devign"}, "metrics": [{"name": "Accuracy", "type": "Accuracy", "value": 64.71, "verified": false}, {"name": "Precision", "type": "Precision", "value": 64.8, "verified": false}, {"name"... | text-classification | {"parameters": {"F32": 124866857}, "total": 124866857} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenization_vulberta.py",
"tokenizer.json",
"tokenizer_config.json"
] | f1c637aa112bc5c3c17d719bea2f92adc07a583a | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"devign",
"defect detection",
"code",
"dataset:code_x_glue_cc_defect_detection",
"license:mit",
"model-index",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForSequenceClassification"], "model_type": "roberta", "tokenizer_config": {"pad_token": "<pad>"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"datasets": ["code_x_glue_cc_defect_detection"], "license": "mit", "metrics": ["accuracy", "precision", "recall", "f1", "roc_auc"], "pipeline_tag": "text-classification", "tags": ["devign", "defect detection", "code"], "arxiv": 2205.12424, "model-index": [{"name": "VulBERTa MLP", "results": [{"task": {"type": "defect-... | # VulBERTa MLP Devign
## VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection
## Overview
This model is the unofficial HuggingFace version of "[VulBERTa](https://github.com/ICL-ml4csec/VulBERTa/tree/main)... | null | [
"mit"
] | [
"code_x_glue_cc_defect_detection"
] | null | 124,866,857 | null | [
"accuracy",
"precision",
"recall",
"f1",
"roc_auc"
] | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
66289106d94bc1a1e9b28dfc | 603b9ac77f98166f | 80649b1a3daf2f78 | 92,302 | BPE | 112,005 | true | false | false | true | 1,393 | Sequence | null | Sequence | [
"NFC",
"Replace"
] | null | [
"Replace",
"ByteFallback"
] | 567 | NTQAI/Nxcode-CQ-7B-orpo | NTQAI | null | 571 | 93,800 | False | 2024-04-24T04:56:38Z | 2024-05-30T07:04:52Z | transformers | 149 | 0 | null | text-generation | {"parameters": {"BF16": 7250284544}, "total": 7250284544} | [
".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"
] | 74f3b3c06de36b261af9ef857279d6e33f893336 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"code",
"conversational",
"arxiv:2403.07691",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|im_end|>", "pad_token": "<fim_pad>", "unk_token": "<unk>", "use_default_system_prompt": false, "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'sys... | {
"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": "other", "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/CodeQwen1.5-7B/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tag... | <a href="https://ntq.com.vn" target="_blank"><img src="https://cdn-uploads.huggingface.co/production/uploads/5ee1b417636bdb3834e2da19/etbfTJuVdAub2evNP_E4g.png" width="200"/></a>
## Introduction
Nxcode-CQ-7B-orpo is an [Monolithic Preference Optimization without Reference Model](https://arxiv.org/abs/2403.07691) fine... | null | [
"other",
"tongyi-qianwen-research",
"https://huggingface.co/Qwen/CodeQwen1.5-7B/blob/main/LICENSE"
] | null | null | 7,250,284,544 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6270044e6e73ed09a7617463 | 7ca70421579da9a5 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 504 | nielsr/layoutlmv3-finetuned-funsd | nielsr | {
"models": [
{
"_id": "625d0ad17341c641426a1b83",
"id": "microsoft/layoutlmv3-base"
}
],
"relation": "finetune"
} | 3,915 | 107,667 | False | 2022-05-02T16:18:22Z | 2023-09-16T10:14:49Z | transformers | 31 | 0 | [{"name": "layoutlmv3-finetuned-funsd", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"name": "nielsr/funsd-layoutlmv3", "type": "nielsr/funsd-layoutlmv3", "args": "funsd"}, "metrics": [{"type": "precision", "value": 0.9026198714780029, "name": "Precision", "verified... | token-classification | {"parameters": {"I64": 514, "F32": 125332359}, "total": 125332873} | [
".gitattributes",
".gitignore",
"README.md",
"all_results.json",
"config.json",
"emissions.csv",
"eval_results.json",
"merges.txt",
"model.safetensors",
"preprocessor_config.json",
"pytorch_model.bin",
"runs/May02_16-26-18_brutasse/1651508794.4462817/events.out.tfevents.1651508794.brutasse.955... | 2a5cf00b2faa7e246217036feb53b1511e9f2451 | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"layoutlmv3",
"token-classification",
"generated_from_trainer",
"dataset:nielsr/funsd-layoutlmv3",
"base_model:microsoft/layoutlmv3-base",
"base_model:finetune:microsoft/layoutlmv3-base",
"model-index",
"endpoints_compatible",
"region:... | null | {"architectures": ["LayoutLMv3ForTokenClassification"], "model_type": "layoutlmv3", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": "<mask>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoProcessor"
} | {"base_model": "microsoft/layoutlmv3-base", "datasets": ["nielsr/funsd-layoutlmv3"], "metrics": ["precision", "recall", "f1", "accuracy"], "tags": ["generated_from_trainer"], "model-index": [{"name": "layoutlmv3-finetuned-funsd", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "da... | <!-- 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. -->
# layoutlmv3-finetuned-funsd
This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/lay... | null | null | [
"nielsr/funsd-layoutlmv3"
] | null | 125,332,873 | null | [
"precision",
"recall",
"f1",
"accuracy"
] | [
"AutoModelForTokenClassification",
"LayoutLMv3ForTokenClassification",
"layoutlmv3"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
667c4d21d373bb32cd5e54e5 | 6e6a83dc4b556c95 | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 111 | nm-testing/Meta-Llama-3-8B-FP8-compressed-tensors-test | nm-testing | null | 6,884 | 114,754 | False | 2024-06-26T17:17:21Z | 2024-10-09T19:59:24Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"BF16": 1050939840, "F8_E4M3": 6979321856}, "total": 8030261696} | [
".gitattributes",
"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"
] | 3ec185aed68432886425fb783abe5ecc410c9cf7 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"compressed-tensors",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"quant_method": "compressed-tensors"}, "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['rol... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | 8,030,261,696 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66634d08245d0d9355967892 | e23b6bdbe047bb7e | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 46 | nm-testing/tinyllama-oneshot-w8a8-dynamic-token-v2 | nm-testing | null | 6,939 | 114,794 | False | 2024-06-07T18:10:16Z | 2024-10-09T19:59:09Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"BF16": 131164314, "I8": 968884224}, "total": 1100048538} | [
".gitattributes",
"config.json",
"generation_config.json",
"model.safetensors",
"recipe.yaml",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | d3fb66e8745012598a9f8ca35d48addc1eb8a922 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"8-bit",
"compressed-tensors",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"quant_method": "compressed-tensors"}, "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | 1,100,048,538 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
673c5b8b71f89d4617743b86 | a291a5b7b160e3e0 | 2b950a81ab105286 | 1,000 | BPE | 806 | false | true | true | true | 1 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 465 | Intel/tiny-random-gpt2 | Intel | null | 1,532 | 101,295 | False | 2024-11-19T09:34:03Z | 2025-09-08T08:19:46Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"F32": 6960768}, "total": 6960768} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 6538c1ee0523bdc149e4ad9f8b7a0258ead8781a | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "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": "transformers", "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": []} | # Model Card for Model ID
This is a tiny random GPT2 model derived from "openai-community/gpt2".
This is useful for functional testing (not quality generation, since its weights are random) on [optimum-intel](https://github.com/huggingface/optimum-intel/blob/main/tests/ipex/utils_tests.py) | null | null | null | null | 6,960,768 | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
628727a140423ef48fbc72c6 | d82c716f01e57f52 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 62 | launch/POLITICS | launch | null | 156 | 91,769 | False | 2022-05-20T05:31:13Z | 2025-04-13T23:34:44Z | transformers | 13 | 0 | null | fill-mask | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 0354641a4e2e4db89a490c0a981839d307c0a0fe | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"politics",
"en",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForMaskedLM"], "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": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "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": ["politics", "roberta"]} | ## POLITICS
POLITICS, a pretrained model on English news articles of politics, is produced via continued training on RoBERTa, based on a **P**retraining **O**bjective **L**everaging **I**nter-article **T**riplet-loss using **I**deological **C**ontent and **S**tory.
**ALERT:** POLITICS is a pre-trained **language mode... | null | [
"cc-by-nc-sa-4.0"
] | null | [
"en"
] | null | null | null | [
"roberta",
"AutoModelForMaskedLM",
"RobertaForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6675411e3ae9e9c659b232e7 | 34093184d10f76a9 | 35b001f3a491f9f9 | 151,646 | BPE | 151,387 | true | true | true | true | 3 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 53 | lmms-lab/LongVA-7B-DPO | lmms-lab | null | 164 | 92,286 | False | 2024-06-21T09:00:14Z | 2024-06-26T03:32:53Z | transformers | 10 | 0 | null | text-generation | {"parameters": {"BF16": 7935646208}, "total": 7935646208} | [
".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... | 57cadd841419ecdeee050ca2bbdf7c1f96584fcd | [
"transformers",
"safetensors",
"llava_qwen",
"text-generation",
"conversational",
"arxiv:2406.16852",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlavaQwenForCausalLM"], "model_type": "llava_qwen", "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[... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": null
} | null | # LongVA
<p align="center">
<img src="https://i.postimg.cc/4xFmj8wd/v-niah.png" width="800">
</p>
<p align="center">
🌐 <a href="https://lmms-lab.github.io/posts/longva/" target="_blank">Blog</a> | 📃 <a href="https://arxiv.org/abs/2406.16852" target="_blank">Paper</a> | 🤗 <a href="https://huggingface.co/colle... | null | null | null | null | 7,935,646,208 | null | null | [
"AutoModelForCausalLM",
"llava_qwen",
"LlavaQwenForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
669d5f784bbe8ad52ee27f94 | c6de6331832e687a | 6622292dca275a2d | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 142 | meta-llama/Llama-Guard-3-8B-INT8 | meta-llama | null | 8,603 | 117,527 | manual | 2024-07-21T19:20:24Z | 2024-08-07T14:32:32Z | transformers | 38 | 0 | null | text-generation | {"parameters": {"F32": 1376256, "BF16": 1050939392, "I8": 6979321856}, "total": 8031637504} | [
".gitattributes",
"LICENSE",
"Meta-Llama-Guard-3-8B-INT8-HF-20240718150000.md5",
"README.md",
"USE_POLICY.md",
"config.json",
"generation_config.json",
"llama_guard_3_figure.png",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"original/... | 951579e66b562c4ca221903eaae3378f4abfa6af | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-3",
"conversational",
"en",
"arxiv:2407.21783",
"arxiv:2312.06674",
"arxiv:2204.05862",
"arxiv:2308.01263",
"license:llama3.1",
"text-generation-inference",
"endpoints_compatible",
"8-b... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"load_in_4bit": false, "load_in_8bit": true, "quant_method": "bitsandbytes"}, "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% if messages|length % 2 == 0 %}{% set role = 'Agent' %}{% else %}{% set 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": "llama3.1", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "extra_gated_prom... | null | null | [
"llama3.1"
] | null | [
"en"
] | 8,031,637,504 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.