_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 ⌀ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
664fb00e0a7476925c116076 | ba6e32589571c1b2 | 8f1cd02f3aeec49a | 128,257 | BPE | 280,147 | false | true | true | true | 257 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 539 | RLHFlow/ArmoRM-Llama3-8B-v0.1 | RLHFlow | null | 17,211 | 458,635 | False | 2024-05-23T21:07:26Z | 2024-09-23T02:55:41Z | transformers | 183 | 1 | null | text-classification | null | [
".gitattributes",
"README.md",
"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",
"modeling_custom.py",
"special_tokens_map.json",
"tokenizer.json",
"toke... | eb2676d20da2f2d41082289d23c59b9f7427f955 | [
"transformers",
"safetensors",
"llama",
"text-classification",
"custom_code",
"arxiv:2406.12845",
"arxiv:2305.10425",
"arxiv:2402.18571",
"license:llama3",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"auto_map": {"AutoModelForSequenceClassification": "modeling_custom.LlamaForRewardModelWithGating"}, "architectures": ["LlamaForRewardModelWithGating"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{%... | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": "modeling_custom.LlamaForRewardModelWithGating",
"pipeline_tag": "text-classification",
"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} | # Absolute-Rating Multi-Objective Reward Model (ArmoRM) with Mixture-of-Experts (MoE) Aggregation of Reward Objectives
+ **Authors** (* indicates equal contribution)
[Haoxiang Wang*](https://haoxiang-wang.github.io/), [Wei Xiong*](https://weixiongust.github.io/WeiXiongUST/index.html), [Tengyang Xie](https://ten... | null | [
"llama3"
] | null | null | null | null | null | [
"llama",
"modeling_custom.LlamaForRewardModelWithGating",
"AutoModelForSequenceClassification",
"LlamaForRewardModelWithGating"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
675bf7cf1d68b705c6817d90 | 194940ee61531a61 | c1ad341217304a37 | 100,011 | BPE | 99,757 | true | true | true | true | 11 | Sequence | Sequence | ByteLevel | [] | [
"Split",
"Split",
"Split",
"Split",
"Split",
"Digits",
"ByteLevel"
] | [
"ByteLevel"
] | 540 | deepseek-ai/deepseek-vl2-small | deepseek-ai | null | 11,907 | 541,629 | False | 2024-12-13T09:01:03Z | 2024-12-18T08:17:59Z | transformers | 177 | 0 | null | image-text-to-text | {"parameters": {"BF16": 16148349504}, "total": 16148349504} | [
".gitattributes",
"README.md",
"config.json",
"model-00001-of-000004.safetensors",
"model-00002-of-000004.safetensors",
"model-00003-of-000004.safetensors",
"model-00004-of-000004.safetensors",
"model.safetensors.index.json",
"processor_config.json",
"special_tokens_map.json",
"tokenizer.json",
... | 6033e16432a1d771cf9fe4a6f894ff5e5e1459af | [
"transformers",
"safetensors",
"deepseek_vl_v2",
"image-text-to-text",
"conversational",
"arxiv:2412.10302",
"license:other",
"endpoints_compatible",
"region:us"
] | null | {"model_type": "deepseek_vl_v2", "tokenizer_config": {"bos_token": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "chat_template": "{%- set found_item = false -%}\n{%- for message in messages -%}\n {%- if message['role'] == 'system' -%}\n {%- set found_item = true -%}\n {%- endif -%}\n{%- endfor -%}\n{%- if ... | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": null,
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "other", "license_name": "deepseek", "license_link": "https://github.com/deepseek-ai/DeepSeek-LLM/blob/HEAD/LICENSE-MODEL", "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text",... | ## 1. Introduction
Introducing DeepSeek-VL2, an advanced series of large Mixture-of-Experts (MoE) Vision-Language Models that significantly improves upon its predecessor, DeepSeek-VL. DeepSeek-VL2 demonstrates superior capabilities across various tasks, including but not limited to visual question answering, optical c... | null | [
"other",
"deepseek",
"https://github.com/deepseek-ai/DeepSeek-LLM/blob/HEAD/LICENSE-MODEL"
] | null | null | 16,148,349,504 | null | null | [
"AutoModel",
"deepseek_vl_v2"
] | [
"image-text-to-text",
null
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
621ffdc136468d709f1798d9 | dd8ef53ef5a0f56a | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 90 | bergum/xtremedistil-l6-h384-go-emotion | bergum | null | 18 | 388,274 | False | 2022-03-02T23:29:05Z | 2023-03-21T11:55:16Z | transformers | 8 | 0 | [{"name": "xtremedistil-emotion", "results": [{"task": {"name": "Multi Label Text Classification", "type": "multi_label_classification"}, "dataset": {"name": "go_emotions", "type": "emotion", "args": "default"}, "metrics": [{"name": "Accuracy", "type": "accuracy", "value": "NaN", "verified": false}]}]}] | text-classification | {"parameters": {"I64": 512, "F32": 22723996}, "total": 22724508} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 4bbac1c77145d6813f9d61e34af6910db4c0d81d | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"dataset:go_emotions",
"license:apache-2.0",
"model-index",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertForSequenceClassification"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"datasets": ["go_emotions"], "license": "apache-2.0", "metrics": ["accuracy"], "model-index": [{"name": "xtremedistil-emotion", "results": [{"task": {"type": "multi_label_classification", "name": "Multi Label Text Classification"}, "dataset": {"name": "go_emotions", "type": "emotion", "args": "default"}, "metrics": [{... | # xtremedistil-l6-h384-go-emotion
This model is a fine-tuned version of [microsoft/xtremedistil-l6-h384-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h384-uncased) on the
[go_emotions dataset](https://huggingface.co/datasets/go_emotions).
See notebook for how the model was trained and converted to ONNX f... | null | [
"apache-2.0"
] | [
"go_emotions"
] | null | 22,724,508 | null | [
"accuracy"
] | [
"BertForSequenceClassification",
"bert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6789b388c37df6b08e6f2245 | 54895f2d8faef315 | e6ffdc5dd5f1fd86 | 256,000 | BPE | 580,604 | true | true | true | true | 249 | Replace | Split | Sequence | [
"Replace"
] | [
"Split"
] | [
"Replace",
"ByteFallback",
"Fuse"
] | 50 | Salesforce/SFR-Embedding-Code-2B_R | Salesforce | null | 1,621 | 438,760 | False | 2025-01-17T01:34:00Z | 2025-01-28T21:14:27Z | sentence-transformers | 48 | 0 | null | feature-extraction | null | [
".DS_Store",
".gitattributes",
"1_Pooling/config.json",
"README.md",
"config.json",
"config_sentence_transformers.json",
"configuration_gemma2.py",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"modeling_gemma2.py",
"modules.json",
"s... | c73d8631a005876ed5abde34db514b1fb6566973 | [
"sentence-transformers",
"safetensors",
"codexembed2b",
"feature-extraction",
"transformers",
"code",
"retrieval",
"custom_code",
"arxiv:2411.12644",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["CodeXEmbedModel2B"], "auto_map": {"AutoConfig": "configuration_gemma2.CodeXEmbedConfig", "AutoModel": "modeling_gemma2.CodeXEmbedModel2B"}, "model_type": "codexembed2b", "tokenizer_config": {"bos_token": "<bos>", "chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_excep... | {
"auto_model": "AutoModel",
"custom_class": "modeling_gemma2.CodeXEmbedModel2B",
"pipeline_tag": "feature-extraction",
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "cc-by-nc-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "feature-extraction", "tags": ["transformers", "sentence-transformers", "code", "retrieval"]} | <h1 align="center">Salesforce/SFR-Embedding-Code-2B_R</h1>
**SFR-Embedding by Salesforce Research.**
The Salesforce/SFR-Embedding-Code is a generalist embedding model family for multilingual and multi-task code and Text retrieval. It demonstrates superior performance compared to various open-source code embedding mod... | null | [
"cc-by-nc-4.0"
] | null | null | null | null | null | [
"codexembed2b",
"CodeXEmbedModel2B",
"AutoModel",
"modeling_gemma2.CodeXEmbedModel2B"
] | [
"feature-extraction"
] | [
"multimodal"
] | [
"text"
] | [
"embeddings"
] |
646db9a140e741b1912de986 | b625e1842d0cd981 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 541 | nealcly/detection-longformer | nealcly | null | 54 | 387,773 | False | 2023-05-24T07:15:45Z | 2023-08-11T08:11:20Z | transformers | 4 | 0 | null | null | null | [
".gitattributes",
"config.json",
"merges.txt",
"optimizer.pt",
"pytorch_model.bin",
"rng_state.pth",
"scaler.pt",
"scheduler.pt",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"trainer_state.json",
"training_args.bin",
"vocab.json"
] | 61d3aab2e0e5afcce6cb00b92661b0f9ee18ac2b | [
"transformers",
"pytorch",
"endpoints_compatible",
"region:us"
] | null | null | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": null,
"processor": null
} | null | null | null | null | null | null | null | null | null | [
"AutoModel"
] | [
null
] | null | null | null |
646434f36e4f6dc6015a0674 | 69d9860d38b5c798 | cf7a052aa6fec7ad | 30,000 | BPE | 15,977 | true | true | false | true | 229 | Sequence | Metaspace | Metaspace | [
"NFKC",
"BertNormalizer"
] | [
"Metaspace"
] | [
"Metaspace"
] | 282 | circulus/canvers-en2ko-v1 | circulus | null | 6,002 | 425,014 | False | 2023-05-17T01:59:15Z | 2023-06-07T03:46:42Z | transformers | 0 | 0 | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"optimizer.pt",
"pytorch_model.bin",
"rng_state.pth",
"scaler.pt",
"scheduler.pt",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"trainer_state.json",
"training_args.bin",
"voc... | 8b1fcda956a0c0522c9e52bf623fd2277e4d67c7 | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"license:gpl-3.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BartForConditionalGeneration"], "model_type": "bart", "tokenizer_config": {}} | {
"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": "gpl-3.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | null | null | [
"gpl-3.0"
] | null | null | null | null | null | [
"bart",
"BartForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation"
] | null | null | null |
67fe614471712f4f949a7da9 | 46323c0f61df476d | 1fe366e13272caa0 | 262,145 | BPE | 514,906 | true | true | true | true | 6,415 | Replace | Split | Sequence | [
"Replace"
] | [
"Split"
] | [
"Replace",
"ByteFallback",
"Fuse"
] | 49 | mlx-community/gemma-3-4b-it-qat-4bit | mlx-community | {
"models": [
{
"_id": "67ff92c1a93c489f94ab29c6",
"id": "OpenGVLab/InternVL3-1B-Instruct"
}
],
"relation": "finetune"
} | 964,334 | 2,122,378 | False | 2025-04-15T13:38:12Z | 2025-04-21T20:31:00Z | transformers | 6 | 0 | null | image-text-to-text | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.json",
"config.json",
"generation_config.json",
"model.safetensors",
"model.safetensors.index.json",
"preprocessor_config.json",
"processor_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"toke... | 3d9ef289111449933c22761961f16a5df237ce2a | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"internvl",
"custom_code",
"mlx",
"conversational",
"multilingual",
"dataset:OpenGVLab/MMPR-v1.2",
"base_model:OpenGVLab/InternVL3-1B-Instruct",
"base_model:finetune:OpenGVLab/InternVL3-1B-Instruct",
"license:other",
"text-gene... | null | {"architectures": ["Gemma3ForConditionalGeneration"], "model_type": "gemma3", "processor_config": {"chat_template": "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n {%- if messages[0]['content'] is string -%}\n {%- set first_user_prefix = messages[0]['content'] + '\n\n' -%}\n {%- else -%}\n ... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": ["OpenGVLab/InternVL3-1B-Instruct"], "datasets": ["OpenGVLab/MMPR-v1.2"], "eval_results": null, "language": ["multilingual"], "library_name": "transformers", "license": "other", "license_name": "qwen", "license_link": "https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE", "metrics": null, ... | null | null | [
"other",
"qwen",
"https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE"
] | [
"OpenGVLab/MMPR-v1.2"
] | [
"multilingual"
] | null | null | null | [
"AutoModelForImageTextToText",
"Gemma3ForConditionalGeneration",
"gemma3"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
63f83b852b79f7695a37a12c | 936afaa342cb0e76 | b824ea9ac7ae9e8a | 2,707 | BPE | 2,446 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 542 | entropy/roberta_zinc_480m | entropy | null | 117 | 387,576 | False | 2023-02-24T04:22:29Z | 2025-04-30T07:51:17Z | transformers | 3 | 0 | null | fill-mask | {"parameters": {"I64": 512, "F32": 102299539}, "total": 102300051} | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"model.safetensors",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 05b00ec36b6d22e365cc06079516a5611c5f1d26 | [
"transformers",
"pytorch",
"safetensors",
"roberta",
"fill-mask",
"chemistry",
"molecule",
"drug",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["RobertaForMaskedLM"], "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": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["chemistry", "molecule", "drug"]} | null | null | null | null | null | 102,300,051 | null | null | [
"roberta",
"AutoModelForMaskedLM",
"RobertaForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
67cb8a1f1b69d63fac1c9930 | 1e0a2493163c0c63 | 6622292dca275a2d | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 18 | SamiPie/debbie_llama-8b-ep3-v1-merged | SamiPie | null | 0 | 15 | False | 2025-03-08T00:06:55Z | 2025-03-12T20:22:30Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"BF16": 1050939392, "F32": 486912, "U8": 7197502592}, "total": 8248928896} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"requirements.txt",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | 5b2511404a60a215565b8945ed1ceac4b8e26470 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"text-generation-inference",
"unsloth",
"trl",
"sft",
"en",
"license:apache-2.0",
"endpoints_compatible",
"4-bit",
"bitsandbytes",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"load_in_4bit": true, "load_in_8bit": false, "quant_method": "bitsandbytes"}, "tokenizer_config": {"bos_token": "<|begin_of_text|>", "eos_token": "<|end_of_text|>", "pad_token": "<|finetune_right_pad_id|>", "unk_token": null}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "unsloth/meta-llama-3.1-8b-bnb-4bit", "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["text-generation-inference", "transformers", "un... | # Uploaded model
- **Developed by:** SamiPie
- **License:** apache-2.0
- **Finetuned from model :** unsloth/meta-llama-3.1-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/uns... | null | [
"apache-2.0"
] | null | [
"en"
] | 8,248,928,896 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc136468d709f177cbf | ff184e6969536b02 | 5d0543b90d3ada56 | 32,004 | Unigram | null | true | true | true | true | 7 | Precompiled | Sequence | Metaspace | [
"Precompiled"
] | [
"WhitespaceSplit",
"Metaspace"
] | [
"Metaspace"
] | 318 | Yanzhu/bertweetfr-base | Yanzhu | null | 289 | 387,674 | False | 2022-03-02T23:29:05Z | 2021-06-13T07:20:37Z | transformers | 5 | 0 | null | fill-mask | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 90de75c9b6f530bf1831ba22aee06f04f7c94703 | [
"transformers",
"pytorch",
"camembert",
"fill-mask",
"fr",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["CamembertForMaskedLM"], "model_type": "camembert", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized... | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": "fr", "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | Domain-adaptive pretraining of camembert-base using 15 GB of French Tweets | null | null | null | [
"fr"
] | null | null | null | [
"CamembertForMaskedLM",
"AutoModelForMaskedLM",
"camembert"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
63c7f5c928bc057a3c3c0ba8 | 33d4191fa9a8568f | f5b8f8135e777964 | 32,000 | Unigram | null | true | true | true | true | 5 | Sequence | Sequence | Metaspace | [
"Strip",
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 214 | ku-nlp/deberta-v2-tiny-japanese | ku-nlp | null | 6,702 | 405,821 | False | 2023-01-18T13:36:09Z | 2023-03-23T16:13:46Z | transformers | 2 | 0 | null | fill-mask | {"parameters": {"I64": 512, "F32": 13934272}, "total": 13934784} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"pytorch_model.bin",
"special_tokens_map.json",
"spm.model",
"tokenizer.json",
"tokenizer_config.json"
] | 0427645e8cf44ee83b4a0b5f4498274d89e02adb | [
"transformers",
"pytorch",
"safetensors",
"deberta-v2",
"fill-mask",
"deberta",
"ja",
"dataset:wikipedia",
"dataset:cc100",
"dataset:oscar",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["DebertaV2ForMaskedLM"], "model_type": "deberta-v2", "tokenizer_config": {"bos_token": "[CLS]", "cls_token": "[CLS]", "eos_token": "[SEP]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["wikipedia", "cc100", "oscar"], "eval_results": null, "language": "ja", "library_name": "transformers", "license": "cc-by-sa-4.0", "license_name": null, "license_link": null, "metrics": ["accuracy"], "model_name": null, "pipeline_tag": null, "tags": ["deberta", "deberta-v2", "fill-mask... | # Model Card for Japanese DeBERTa V2 tiny
## Model description
This is a Japanese DeBERTa V2 tiny model pre-trained on Japanese Wikipedia, the Japanese portion of CC-100, and the Japanese portion of OSCAR.
## How to use
You can use this model for masked language modeling as follows:
```python
from transformers imp... | null | [
"cc-by-sa-4.0"
] | [
"wikipedia",
"cc100",
"oscar"
] | [
"ja"
] | 13,934,784 | null | [
"accuracy"
] | [
"DebertaV2ForMaskedLM",
"AutoModelForMaskedLM",
"deberta-v2"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
660a51e98b022f13fd73459b | 34093184d10f76a9 | 35b001f3a491f9f9 | 151,646 | BPE | 151,387 | true | true | true | true | 3 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 53 | Qwen/Qwen1.5-32B | Qwen | null | 21,749 | 453,516 | False | 2024-04-01T06:19:21Z | 2024-04-05T11:30:24Z | transformers | 85 | 0 | null | text-generation | {"parameters": {"BF16": 32512218112}, "total": 32512218112} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00017.safetensors",
"model-00002-of-00017.safetensors",
"model-00003-of-00017.safetensors",
"model-00004-of-00017.safetensors",
"model-00005-of-00017.safetensors",
"model-00006-of-0... | cefef80dc06a65f89d1d71d0adbc56d335ca2490 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"pretrained",
"conversational",
"en",
"arxiv:2309.16609",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + ... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "other", "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags... | # Qwen1.5-32B
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B dense models, and an MoE ... | null | [
"other",
"tongyi-qianwen-research",
"https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE"
] | null | [
"en"
] | 32,512,218,112 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
673eecaad4eb60b8fff16166 | b49e169598db4d83 | 0cdc2927ce4cf866 | 32,002 | BPE | 61,249 | true | false | true | true | 5 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 74 | unsloth/llava-1.5-7b-hf-bnb-4bit | unsloth | {
"models": [
{
"_id": "656eedec8bb9f4f8d95d6376",
"id": "llava-hf/llava-1.5-7b-hf"
}
],
"relation": "quantized"
} | 1,702 | 1,105,886 | False | 2024-11-21T08:17:46Z | 2025-02-13T11:11:41Z | transformers | 8 | 0 | null | image-text-to-text | {"parameters": {"F32": 515616, "BF16": 264460288, "U8": 7011562142}, "total": 7276538046} | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.json",
"config.json",
"generation_config.json",
"model.safetensors",
"preprocessor_config.json",
"processor_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | 99f50b2be6c105db4d0b8dc764899b4caa943a92 | [
"transformers",
"safetensors",
"llava",
"image-text-to-text",
"multimodal",
"vision",
"unsloth",
"conversational",
"en",
"base_model:llava-hf/llava-1.5-7b-hf",
"base_model:quantized:llava-hf/llava-1.5-7b-hf",
"license:llama2",
"endpoints_compatible",
"4-bit",
"bitsandbytes",
"region:us... | null | {"architectures": ["LlavaForConditionalGeneration"], "model_type": "llava", "quantization_config": {"load_in_4bit": true, "load_in_8bit": false, "quant_method": "bitsandbytes"}, "processor_config": {"chat_template": "{% for message in messages %}{% if message['role'] != 'system' %}{{ message['role'].upper() + ': '}}{% ... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": "llava-hf/llava-1.5-7b-hf", "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": "image-text-to-text", "tags": ["multimodal", "llava", "vision", "un... | # Finetune Llama 3.2, Qwen 2.5, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth!
We have a free Google Colab Tesla T4 notebook for Llava 1.5 (7B) here: https://colab.research.google.com/drive/1Ys44kVvmeZtnICzWz0xgpRnrIOjZAuxp?usp=sharing
And a free notebook for [Llama 3.2 Vision (11B) here](https://cola... | null | [
"llama2"
] | null | [
"en"
] | 7,276,538,046 | null | null | [
"AutoModelForImageTextToText",
"LlavaForConditionalGeneration",
"llava"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
65f81e72b97a85ae9d5e04e1 | 53ecf467267e2824 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 0 | mixedbread-ai/mxbai-colbert-large-v1 | mixedbread-ai | null | 2,371 | 451,891 | False | 2024-03-18T10:58:58Z | 2025-03-13T04:15:57Z | transformers | 53 | 0 | null | null | {"parameters": {"F16": 335272960}, "total": 335272960} | [
".gitattributes",
"LICENSE",
"README.md",
"artifact.metadata",
"config.json",
"model.safetensors",
"modules.json",
"onnx/model.onnx",
"onnx/model_fp16.onnx",
"onnx/model_int8.onnx",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 591f3d193b80b75aac38e4ff9e341d6d136f045b | [
"transformers",
"onnx",
"safetensors",
"bert",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["HF_ColBERT"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "HF_ColBERT",
"custom_class": null,
"pipeline_tag": null,
"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} | <br><br>
<p align="center">
<svg xmlns="http://www.w3.org/2000/svg" xml:space="preserve" viewBox="0 0 2020 1130" width="150" height="150" aria-hidden="true"><path fill="#e95a0f" d="M398.167 621.992c-1.387-20.362-4.092-40.739-3.851-61.081.355-30.085 6.873-59.139 21.253-85.976 10.487-19.573 24.09-36.822 40.662-51.515 16... | null | [
"apache-2.0"
] | null | null | 335,272,960 | null | null | [
"HF_ColBERT",
"bert"
] | [
null
] | null | null | null |
625aa687a35b3e0c3a81e9a6 | 8a8c94e1a59f5186 | ef4806e2ade9022f | 32,100 | Unigram | null | true | true | true | true | 103 | Precompiled | Sequence | Metaspace | [
"Precompiled"
] | [
"WhitespaceSplit",
"Metaspace"
] | [
"Metaspace"
] | 11 | google/long-t5-tglobal-large | google | null | 8,168 | 398,772 | False | 2022-04-16T11:20:39Z | 2023-09-11T20:35:44Z | transformers | 16 | 0 | null | null | {"parameters": {"F32": 750276096}, "total": 750276096} | [
".gitattributes",
"README.md",
"config.json",
"flax_model.msgpack",
"generation_config.json",
"model.safetensors",
"pytorch_model.bin",
"spiece.model",
"tokenizer.json"
] | fb4ba84440d10e9b93fd626fb460683372329d4a | [
"transformers",
"pytorch",
"jax",
"safetensors",
"longt5",
"text2text-generation",
"en",
"arxiv:2112.07916",
"arxiv:1912.08777",
"arxiv:1910.10683",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LongT5ForConditionalGeneration"], "model_type": "longt5"} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": "en", "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # LongT5 (transient-global attention, large-sized model)
LongT5 model pre-trained on English language. The model was introduced in the paper [LongT5: Efficient Text-To-Text Transformer for Long Sequences](https://arxiv.org/pdf/2112.07916.pdf) by Guo et al. and first released in [the LongT5 repository](https://github.c... | null | [
"apache-2.0"
] | null | [
"en"
] | 750,276,096 | null | null | [
"AutoModelForSeq2SeqLM",
"longt5",
"LongT5ForConditionalGeneration"
] | [
"text2text-generation"
] | null | null | null |
621ffdc136468d709f17a21b | bfe694f64f4a18f5 | daab2a732bab72e2 | 128,001 | Unigram | null | true | true | true | true | 5 | Sequence | Sequence | Metaspace | [
"Strip",
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 22 | cross-encoder/nli-deberta-v3-xsmall | cross-encoder | {
"models": [
{
"_id": "621ffdc136468d709f17dee7",
"id": "microsoft/deberta-v3-xsmall"
}
],
"relation": "quantized"
} | 29,379 | 462,101 | False | 2022-03-02T23:29:05Z | 2025-04-11T09:26:22Z | sentence-transformers | 7 | 0 | null | zero-shot-classification | {"parameters": {"I64": 512, "F32": 70831107}, "total": 70831619} | [
".gitattributes",
"CESoftmaxAccuracyEvaluator_AllNLI-dev_results.csv",
"README.md",
"added_tokens.json",
"config.json",
"model.safetensors",
"onnx/model.onnx",
"onnx/model_O1.onnx",
"onnx/model_O2.onnx",
"onnx/model_O3.onnx",
"onnx/model_O4.onnx",
"onnx/model_qint8_arm64.onnx",
"onnx/model_q... | a150876415327c80daeff35ca6f68f5ed8cf5c24 | [
"sentence-transformers",
"pytorch",
"onnx",
"safetensors",
"deberta-v2",
"text-classification",
"transformers",
"zero-shot-classification",
"en",
"dataset:nyu-mll/multi_nli",
"dataset:stanfordnlp/snli",
"base_model:microsoft/deberta-v3-xsmall",
"base_model:quantized:microsoft/deberta-v3-xsma... | null | {"architectures": ["DebertaV2ForSequenceClassification"], "model_type": "deberta-v2", "tokenizer_config": {"bos_token": "[CLS]", "cls_token": "[CLS]", "eos_token": "[SEP]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": ["microsoft/deberta-v3-xsmall"], "datasets": ["nyu-mll/multi_nli", "stanfordnlp/snli"], "eval_results": null, "language": "en", "library_name": "sentence-transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["accuracy"], "model_name": null, "pipeline_tag": "zero-... | null | null | [
"apache-2.0"
] | [
"nyu-mll/multi_nli",
"stanfordnlp/snli"
] | [
"en"
] | 70,831,619 | null | [
"accuracy"
] | [
"AutoModelForSequenceClassification",
"deberta-v2",
"DebertaV2ForSequenceClassification"
] | [
"zero-shot-classification",
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
65116a41cac39a7d888fe950 | e24085208cdaeec5 | e2aa6fb48db4c6cd | 31,923 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 543 | syafiqfaray/indobert-model-ner | syafiqfaray | {
"models": [
{
"_id": "621ffdc136468d709f17c848",
"id": "indolem/indobert-base-uncased"
}
],
"relation": "finetune"
} | 478 | 386,083 | False | 2023-09-25T11:08:49Z | 2024-03-15T05:34:48Z | transformers | 1 | 0 | [{"name": "indobert-model-ner", "results": []}] | token-classification | {"parameters": {"F32": 109997607}, "total": 109997607} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"pytorch_model.bin",
"runs/Mar15_05-08-33_81250d50cff2/events.out.tfevents.1710479317.81250d50cff2.928.0",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.txt"
] | 1b060f4ec2c37276cad9a8910072e1764e7969b6 | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"bert",
"token-classification",
"generated_from_trainer",
"base_model:indolem/indobert-base-uncased",
"base_model:finetune:indolem/indobert-base-uncased",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "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"
} | {"base_model": "indolem/indobert-base-uncased", "datasets": null, "eval_results": [], "language": null, "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": ["precision", "recall", "f1", "accuracy"], "model_name": "indobert-model-ner", "pipeline_tag": null, "tags": ["generated_... | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# indobert-model-ner
This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-... | null | [
"mit"
] | null | null | 109,997,607 | null | [
"precision",
"recall",
"f1",
"accuracy"
] | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
68a3d0804c709afa2d700b8b | 7428ef9ae5ef868f | 67da9c236fa81925 | 151,669 | BPE | 151,387 | true | true | true | true | 26 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 47 | LLMcompe-Team-Watanabe/Qwen3-32B-merge-base2-math3-science3-submath05-med05-other1 | LLMcompe-Team-Watanabe | {
"models": [
{
"_id": "689c8042c2245c679b4849a0",
"id": "LLMcompe-Team-Watanabe/Qwen3-32B-openmathreasoning-sft"
},
{
"_id": "689fe227fca03f567fcb3013",
"id": "LLMcompe-Team-Watanabe/Qwen3-32B-sft-HIS-Chem-Engineering-45k-1ep-lr5e6-4096"
},
{
"_id": "68a1435346232544... | 2 | 383,922 | False | 2025-08-19T01:16:48Z | 2025-08-20T06:25:54Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"BF16": 32762123264}, "total": 32762123264} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"mergekit_config.yml",
"merges.txt",
"model-00001-of-00014.safetensors",
"model-00002-of-00014.safetensors",
"model-00003-of-00014.safetensors",
"model-00004-of-00014.safetensors",
"model-00005-of-00014.safetensors",
"mode... | c90fbf9eaa238f1256122db4cc220249da159db2 | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"mergekit",
"merge",
"conversational",
"arxiv:2311.03099",
"base_model:LLMcompe-Team-Watanabe/Qwen3-32B-openmathreasoning-sft",
"base_model:merge:LLMcompe-Team-Watanabe/Qwen3-32B-openmathreasoning-sft",
"base_model:LLMcompe-Team-Watanabe... | null | {"architectures": ["Qwen3ForCausalLM"], "model_type": "qwen3", "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call o... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["LLMcompe-Team-Watanabe/Qwen3-32B-openmathreasoning-sft", "LLMcompe-Team-Watanabe/Qwen3-32B-textbookreasoning-UGPhysics-AoPsInstruct-sft", "LLMcompe-Team-Watanabe/others_second_stage", "LLMcompe-Team-Watanabe/Qwen3-32B-sft-deepscaler-openr1-havard-40k-1ep-lr5e6-8k", "Qwen/Qwen3-32B", "LLMcompe-Team-Wata... | # output_model
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 [DARE TIES](https://arxiv.org/abs/2311.03099) merge method using [Qwen/Qwen3-32B](https://huggingface.co/Qwen/Qwen3-32B) as a ba... | null | null | null | null | 32,762,123,264 | null | null | [
"AutoModelForCausalLM",
"Qwen3ForCausalLM",
"qwen3"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
676f34b36dd3dfd7f9a3bbf1 | 5499fef3506cd876 | cf1efbe71ef28fc9 | 50,368 | BPE | 50,009 | true | true | true | true | 116 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 48 | MoritzLaurer/ModernBERT-large-zeroshot-v2.0 | MoritzLaurer | {
"models": [
{
"_id": "6759b5e9a9cfaefaabc087f1",
"id": "answerdotai/ModernBERT-large"
}
],
"relation": "quantized"
} | 11,955 | 439,642 | False | 2024-12-27T23:13:55Z | 2025-01-16T10:27:34Z | transformers | 65 | 0 | [{"name": "ModernBERT-large-zeroshot-v2.0", "results": []}] | text-classification | {"parameters": {"BF16": 395833346}, "total": 395833346} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"onnx/model.onnx",
"onnx/model_bnb4.onnx",
"onnx/model_fp16.onnx",
"onnx/model_int8.onnx",
"onnx/model_q4.onnx",
"onnx/model_q4f16.onnx",
"onnx/model_quantized.onnx",
"onnx/model_uint8.onnx",
"special_tokens_map.json",
"tok... | a51e07b524299e309dd2b88d48b0cfa2bd9ec598 | [
"transformers",
"onnx",
"safetensors",
"modernbert",
"text-classification",
"generated_from_trainer",
"base_model:answerdotai/ModernBERT-large",
"base_model:quantized:answerdotai/ModernBERT-large",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["ModernBertForSequenceClassification"], "model_type": "modernbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": "answerdotai/ModernBERT-large", "datasets": null, "eval_results": [], "language": null, "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["accuracy"], "model_name": "ModernBERT-large-zeroshot-v2.0", "pipeline_tag": null, "tags": ["generated_f... | # ModernBERT-base-zeroshot-v2.0
## Model description
This model is [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large)
fine-tuned on the same dataset mix as the `zeroshot-v2.0` models in the [Zeroshot Classifiers Collection](https://huggingface.co/collections/MoritzLaurer/zeroshot-cla... | null | [
"apache-2.0"
] | null | null | 395,833,346 | null | [
"accuracy"
] | [
"ModernBertForSequenceClassification",
"modernbert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6278efc8bba7c62cbab007d7 | 8ceb8207ce1279e1 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 544 | FabianWillner/distilbert-base-uncased-finetuned-squad | FabianWillner | null | 3 | 382,692 | False | 2022-05-09T10:41:12Z | 2022-06-12T12:09:32Z | transformers | 0 | 0 | [{"name": "distilbert-base-uncased-finetuned-squad", "results": []}] | question-answering | null | [
".gitattributes",
".gitignore",
"README.md",
"config.json",
"pytorch_model.bin",
"runs/May09_10-40-59_becc8df38039/1652092888.5399325/events.out.tfevents.1652092888.becc8df38039.71.1",
"runs/May09_10-40-59_becc8df38039/events.out.tfevents.1652092888.becc8df38039.71.0",
"special_tokens_map.json",
"to... | 0a238477fe98d0b0fdfd6f3ed7800130961c459e | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DistilBertForQuestionAnswering"], "model_type": "distilbert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForQuestionAnswering",
"custom_class": null,
"pipeline_tag": "question-answering",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["squad"], "eval_results": [], "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["squad"], "model_name": "distilbert-base-uncased-finetuned-squad", "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. -->
# distilbert-base-uncased-finetuned-squad
This model is a fine-tuned version of [FabianWillner/distilbert-base-uncased-finetuned-sq... | null | [
"apache-2.0"
] | [
"squad"
] | null | null | null | [
"squad"
] | [
"AutoModelForQuestionAnswering",
"distilbert",
"DistilBertForQuestionAnswering"
] | [
"question-answering"
] | [
"text"
] | [
"text"
] | [
"text"
] |
64be9df6e10455688f28ab5c | c016642a0a032b6a | fd5b32c0da4d4122 | 32,003 | BPE | 61,249 | true | false | true | true | 6 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 545 | HuggingFaceM4/idefics-9b-instruct | HuggingFaceM4 | null | 1,097 | 390,406 | False | 2023-07-24T15:51:18Z | 2023-10-12T18:45:25Z | transformers | 107 | 0 | null | text-generation | {"parameters": {"F32": 2560, "BF16": 8929687824, "I64": 257}, "total": 8929690641} | [
".gitattributes",
"README.md",
"added_tokens.json",
"assets/Figure_Evals_IDEFICS.png",
"assets/IDEFICS.png",
"assets/Idefics_colab.png",
"assets/guarding_baguettes.png",
"config.json",
"generation_config.json",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safe... | 7065afb8a5bb03015700b315f6751dc3dd4e16eb | [
"transformers",
"pytorch",
"safetensors",
"idefics",
"image-text-to-text",
"multimodal",
"text",
"image",
"image-to-text",
"text-generation",
"en",
"dataset:HuggingFaceM4/OBELICS",
"dataset:wikipedia",
"dataset:facebook/pmd",
"dataset:laion/laion2B-en",
"arxiv:2204.14198",
"arxiv:230... | null | {"architectures": ["IdeficsForVisionText2Text"], "model_type": "idefics", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": "<unk>", "unk_token": "<unk>", "use_default_system_prompt": true}} | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": null, "datasets": ["HuggingFaceM4/OBELICS", "wikipedia", "facebook/pmd", "laion/laion2B-en"], "eval_results": null, "language": "en", "library_name": null, "license": "other", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["mul... | <p align="center">
<img src="https://huggingface.co/HuggingFaceM4/idefics-80b/resolve/main/assets/IDEFICS.png" alt="Idefics-Obelics logo" width="200" height="100">
</p>
# IDEFICS
*How do I pronounce the model's name? Watch a [Youtube tutorial](https://www.youtube.com/watch?v=YKO0rWnPN2I&ab_channel=FrenchPronuncia... | null | [
"other"
] | [
"HuggingFaceM4/OBELICS",
"wikipedia",
"facebook/pmd",
"laion/laion2B-en"
] | [
"en"
] | 8,929,690,641 | null | null | [
"AutoModelForImageTextToText",
"idefics",
"IdeficsForVisionText2Text"
] | [
"image-text-to-text",
"image-to-text",
"text-generation"
] | [
"text",
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
6644925a5eff4f72dfc652eb | f6bd53b02735a215 | 3f3879d485dc5e16 | 63,992 | BPE | 110,029 | true | false | false | true | 231 | Sequence | null | Sequence | [
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 512 | 01-ai/Yi-1.5-34B-Chat-16K | 01-ai | null | 8,592 | 424,283 | False | 2024-05-15T10:45:46Z | 2024-06-26T10:42:48Z | transformers | 27 | 0 | null | text-generation | {"parameters": {"BF16": 34388917248}, "total": 34388917248} | [
".gitattributes",
"NOTICE",
"README.md",
"config.json",
"generation_config.json",
"md5",
"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.saf... | ff74452e11f0f749ab872dc19b1dd3813c25c4d8 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:2403.04652",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|startoftext|>", "chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in mes... | {
"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} | <div align="center">
<picture>
<img src="https://raw.githubusercontent.com/01-ai/Yi/main/assets/img/Yi_logo_icon_light.svg" width="150px">
</picture>
</div>
<p align="center">
<a href="https://github.com/01-ai">🐙 GitHub</a> •
<a href="https://discord.gg/hYUwWddeAu">👾 Discord</a> •
<a href="https://twitter... | null | [
"apache-2.0"
] | null | null | 34,388,917,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
683f0ad7aadcd6f4348272cf | 7428ef9ae5ef868f | 67da9c236fa81925 | 151,669 | BPE | 151,387 | true | true | true | true | 26 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 47 | Qwen/Qwen3-Reranker-4B | Qwen | {
"models": [
{
"_id": "680f0c5b4e1c1da6491f3b9d",
"id": "Qwen/Qwen3-4B-Base"
}
],
"relation": "finetune"
} | 671,667 | 1,428,302 | False | 2025-06-03T14:46:47Z | 2025-06-09T05:59:42Z | transformers | 121 | 0 | null | text-ranking | {"parameters": {"BF16": 4021784576}, "total": 4021784576} | [
".gitattributes",
"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"
] | f16fc5d5d2b9b1d0db8280929242745d79794ef5 | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"text-ranking",
"arxiv:2506.05176",
"base_model:Qwen/Qwen3-4B-Base",
"base_model:finetune:Qwen/Qwen3-4B-Base",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["Qwen3ForCausalLM"], "model_type": "qwen3", "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call o... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["Qwen/Qwen3-4B-Base"], "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-ranking", "tags": null} | # Qwen3-Reranker-4B
<p align="center">
<img src="https://qianwen-res.oss-accelerate-overseas.aliyuncs.com/logo_qwen3.png" width="400"/>
<p>
## Highlights
The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon ... | null | [
"apache-2.0"
] | null | null | 4,021,784,576 | null | null | [
"AutoModelForCausalLM",
"Qwen3ForCausalLM",
"qwen3"
] | [
"text-ranking",
"text-generation"
] | [
"text"
] | [
"text"
] | [
"logits",
"text"
] |
655cd9e69af37bae32153ad7 | 58967ba68263f0aa | 2f8d5857ae5fa330 | 50,277 | BPE | 50,009 | true | true | true | true | 25 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 86 | stabilityai/stablelm-zephyr-3b | stabilityai | null | 18,385 | 439,852 | False | 2023-11-21T16:25:10Z | 2024-07-10T12:01:23Z | transformers | 259 | 0 | [{"name": "stablelm-zephyr-3b", "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": 46.08, "name": "no... | text-generation | {"parameters": {"BF16": 2795443200}, "total": 2795443200} | [
".gitattributes",
"LICENSE.md",
"README.md",
"config.json",
"configuration_stablelm.py",
"generation_config.json",
"model.safetensors",
"modeling_stablelm.py",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | fe1fd5e36ccb8cb2cb1dc225ab6d2962692b9837 | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"causal-lm",
"conversational",
"en",
"dataset:HuggingFaceH4/ultrachat_200k",
"dataset:HuggingFaceH4/ultrafeedback_binarized",
"dataset:meta-math/MetaMathQA",
"dataset:WizardLM/WizardLM_evol_instruct_V2_196k",
"dataset:Intel/orca_dpo... | null | {"architectures": ["StableLmForCausalLM"], "model_type": "stablelm", "tokenizer_config": {"bos_token": "<|endoftext|>", "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + me... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"datasets": ["HuggingFaceH4/ultrachat_200k", "HuggingFaceH4/ultrafeedback_binarized", "meta-math/MetaMathQA", "WizardLM/WizardLM_evol_instruct_V2_196k", "Intel/orca_dpo_pairs"], "language": ["en"], "license": "other", "tags": ["causal-lm"], "extra_gated_fields": {"Name": "text", "Email": "text", "Country": "text", "Or... | # `StableLM Zephyr 3B`
Please note: For commercial use, please refer to https://stability.ai/license.
## Model Description
`StableLM Zephyr 3B` is a 3 billion parameter instruction tuned inspired by [HugginFaceH4's Zephyr 7B](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) training pipeline this model was train... | null | [
"other"
] | [
"HuggingFaceH4/ultrachat_200k",
"HuggingFaceH4/ultrafeedback_binarized",
"meta-math/MetaMathQA",
"WizardLM/WizardLM_evol_instruct_V2_196k",
"Intel/orca_dpo_pairs"
] | [
"en"
] | 2,795,443,200 | null | null | [
"AutoModelForCausalLM",
"stablelm",
"StableLmForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
68983ecdbf8ea844863a9da9 | 7428ef9ae5ef868f | 67da9c236fa81925 | 151,669 | BPE | 151,387 | true | true | true | true | 26 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 47 | baichuan-inc/Baichuan-M2-32B | baichuan-inc | {
"models": [
{
"_id": "66e6d09952865ca1e41c6566",
"id": "Qwen/Qwen2.5-32B"
}
],
"relation": "finetune"
} | 225,930 | 1,224,451 | False | 2025-08-10T06:40:13Z | 2025-12-24T07:32:22Z | transformers | 119 | 1 | null | text-generation | {"parameters": {"BF16": 32763876352}, "total": 32763876352} | [
".gitattributes",
"LICENSE",
"README.md",
"added_tokens.json",
"config.json",
"draft/config.json",
"draft/pytorch_model.bin",
"draft/qwen2.py",
"generation_config.json",
"merges.txt",
"model-00001-of-00014.safetensors",
"model-00002-of-00014.safetensors",
"model-00003-of-00014.safetensors",
... | 360f684d3cd527a4ef986c54071015eb0e6def58 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"zh",
"arxiv:2509.02208",
"base_model:Qwen/Qwen2.5-32B",
"base_model:finetune:Qwen/Qwen2.5-32B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region... | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call o... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["Qwen/Qwen2.5-32B"], "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": ["chat"], "paper": 2509.02208} | # Baichuan-M2-32B
[](https://opensource.org/licenses/Apache-2.0)
[](https://huggingface.co/baichuan-inc/Baichuan-M2-32B)
[![M2 GPTQ-4bit](https://img.shields.io/badge/🤗%20... | null | [
"apache-2.0"
] | null | [
"en",
"zh"
] | 32,763,876,352 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65fc66d12c813664be7731ae | 2a63bc9e8054b53c | 7d28abbec99b8db3 | 256,000 | BPE | 580,604 | true | true | true | true | 249 | Replace | Split | Sequence | [
"Replace"
] | [
"Split"
] | [
"Replace",
"ByteFallback",
"Fuse"
] | 546 | google/codegemma-7b | google | null | 1,183 | 401,887 | manual | 2024-03-21T16:56:49Z | 2024-08-07T18:27:09Z | transformers | 215 | 3 | null | text-generation | null | [
".gitattributes",
"README.md",
"codegemma_nl_benchmarks.png",
"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_m... | 2ec970089fe8f083d10d1ce6bac30538ac4badaa | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"license:gemma",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GemmaForCausalLM"], "model_type": "gemma", "tokenizer_config": {"bos_token": "<bos>", "eos_token": "<eos>", "pad_token": "<pad>", "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": "gemma", "license_name": null, "license_link": "https://ai.google.dev/gemma/terms", "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null, "extra_gated_heading": "Access CodeGemma ... | null | null | [
"gemma",
"https://ai.google.dev/gemma/terms"
] | null | null | null | null | null | [
"AutoModelForCausalLM",
"gemma",
"GemmaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
63e0682136c675401361500b | 7e7093ca834d7b34 | 7a756c8c723ce769 | 32,000 | BPE | 31,828 | true | true | true | true | 5 | Sequence | Sequence | ByteLevel | [
"NFKD",
"BertNormalizer"
] | [
"BertPreTokenizer",
"ByteLevel"
] | [
"ByteLevel"
] | 547 | joelniklaus/legal-romanian-roberta-base | joelniklaus | null | 7 | 381,091 | False | 2023-02-06T02:38:25Z | 2023-02-13T05:54:29Z | transformers | 1 | 0 | [{"name": "legal-romanian-roberta-base", "results": []}] | fill-mask | null | [
".gitattributes",
".gitignore",
"README.md",
"config.json",
"pytorch_model.bin",
"runs/Feb09_18-31-02_t1v-n-e8ea8395-w-0/1675967481.6868534/events.out.tfevents.1675967481.t1v-n-e8ea8395-w-0.806326.1",
"runs/Feb09_18-31-02_t1v-n-e8ea8395-w-0/events.out.tfevents.1675967481.t1v-n-e8ea8395-w-0.806326.0",
... | b24debf01f3d7bf50a99725eb009ece9a873c741 | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"fill-mask",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForMaskedLM"], "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": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"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": "legal-romanian-roberta-base", "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. -->
# legal-romanian-roberta-base
This model was trained from scratch on an unknown dataset.
It achieves the following results on the e... | null | null | null | null | null | null | null | [
"roberta",
"AutoModelForMaskedLM",
"RobertaForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6619b6ca77bb6b800ce151ba | dc985383fab7a6fc | c81b23e1dcb12302 | 50,280 | BPE | 50,009 | true | true | true | true | 28 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 478 | allenai/OLMo-7B-hf | allenai | null | 5,918 | 396,878 | False | 2024-04-12T22:33:46Z | 2024-07-16T18:01:37Z | transformers | 15 | 0 | null | text-generation | {"parameters": {"F32": 6888095744}, "total": 6888095744} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00006.safetensors",
"model-00002-of-00006.safetensors",
"model-00003-of-00006.safetensors",
"model-00004-of-00006.safetensors",
"model-00005-of-00006.safetensors",
"model-00006-of-00006.safetensors",
"model.s... | 11fb3186a2e4f681edea621fa8b4345147a9db6a | [
"transformers",
"safetensors",
"olmo",
"text-generation",
"en",
"dataset:allenai/dolma",
"arxiv:2402.00838",
"arxiv:2302.13971",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["OlmoForCausalLM"], "model_type": "olmo", "tokenizer_config": {"bos_token": null, "eos_token": "<|endoftext|>", "pad_token": "<|padding|>", "unk_token": null}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["allenai/dolma"], "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | <img src="https://allenai.org/olmo/olmo-7b-animation.gif" alt="OLMo Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for OLMo 7B
<!-- Provide a quick summary of what the model is/does. -->
OLMo is a series of **O**pen **L**anguage **Mo**dels designed to enable the scie... | null | [
"apache-2.0"
] | [
"allenai/dolma"
] | [
"en"
] | 6,888,095,744 | null | null | [
"AutoModelForCausalLM",
"OlmoForCausalLM",
"olmo"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
653a6d1e024b6cd30ff0afa4 | 88cd37e502d27a0a | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 88 | HuggingFaceH4/mistral-7b-sft-beta | HuggingFaceH4 | {
"models": [
{
"_id": "650aedb6238a644cb93a52c3",
"id": "mistralai/Mistral-7B-v0.1"
}
],
"relation": "finetune"
} | 2,033 | 394,853 | False | 2023-10-26T13:43:58Z | 2024-09-24T15:48:08Z | transformers | 24 | 0 | [{"name": "mistral-7b-sft-beta", "results": []}] | text-generation | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"all_results.json",
"config.json",
"dialogue_template.json",
"eval_results.json",
"generation_config.json",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"pytorch_model-00001-of-00002.bin",
"pytorch_model-00002-of-00... | d7b9d226fb91df9de570ec0ee119f46e007f6142 | [
"transformers",
"pytorch",
"tensorboard",
"mistral",
"text-generation",
"generated_from_trainer",
"conversational",
"en",
"dataset:HuggingFaceH4/ultrachat_200k",
"base_model:mistralai/Mistral-7B-v0.1",
"base_model:finetune:mistralai/Mistral-7B-v0.1",
"license:mit",
"text-generation-inference... | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "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['role'] == 'system' %}\n{{ '<|system|>\n' + message['conte... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "mistralai/Mistral-7B-v0.1", "datasets": ["HuggingFaceH4/ultrachat_200k"], "eval_results": [], "language": ["en"], "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": "mistral-7b-sft-beta", "pipeline_tag": null, "tags": ["generated_from_train... | <!-- 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. -->
# Model Card for Mistral 7B SFT β
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistrala... | null | [
"mit"
] | [
"HuggingFaceH4/ultrachat_200k"
] | [
"en"
] | null | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6641602e4b52a18fe798b783 | 31dabac8dc7ce889 | 7d900c9c71170270 | 257,153 | BPE | 580,604 | true | true | true | true | 218 | Replace | Split | Sequence | [
"Replace"
] | [
"Split"
] | [
"Replace",
"ByteFallback",
"Fuse"
] | 138 | google/paligemma-3b-pt-896 | google | null | 712 | 382,206 | manual | 2024-05-13T00:34:54Z | 2025-06-22T16:02:00Z | transformers | 123 | 0 | null | image-text-to-text | {"parameters": {"F32": 2927890160}, "total": 2927890160} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"model-00001-of-00003.safetensors",
"model-00002-of-00003.safetensors",
"model-00003-of-00003.safetensors",
"model.safetensors.index.json",
"preprocessor_config.json",
"special_tokens_map.json",
"token... | f80dd60ed0c372afa26a9668b30d2eb399af2911 | [
"transformers",
"safetensors",
"paligemma",
"image-text-to-text",
"arxiv:2310.09199",
"arxiv:2303.15343",
"arxiv:2403.08295",
"arxiv:1706.03762",
"arxiv:2010.11929",
"arxiv:2209.06794",
"arxiv:2209.04372",
"arxiv:2103.01913",
"arxiv:2205.12522",
"arxiv:2110.11624",
"arxiv:2108.03353",
... | 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 | 2,927,890,160 | null | null | [
"PaliGemmaForConditionalGeneration",
"AutoModelForImageTextToText",
"paligemma"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
66f4cdeca4f47d65559d6b26 | dd28e45c335606ca | 8ffa998c217fc72c | 100,353 | BPE | 175,928 | true | false | true | true | 617 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 548 | rhymes-ai/Aria | rhymes-ai | {
"models": [
{
"_id": "674b43504e69219448145d9b",
"id": "rhymes-ai/Aria-Base-64K"
}
],
"relation": "finetune"
} | 63,459 | 599,850 | False | 2024-09-26T02:58:52Z | 2025-04-23T01:00:48Z | transformers | 637 | 0 | null | image-text-to-text | {"parameters": {"BF16": 25307308912, "F16": 2304}, "total": 25307311216} | [
".gitattributes",
".gitignore",
"README.md",
"chat_template.json",
"config.json",
"generation_config.json",
"model-00001-of-00012.safetensors",
"model-00002-of-00012.safetensors",
"model-00003-of-00012.safetensors",
"model-00004-of-00012.safetensors",
"model-00005-of-00012.safetensors",
"model... | 53a09c77895d7025efa6239ea71cf1a8991064e8 | [
"transformers",
"safetensors",
"aria",
"image-text-to-text",
"multimodal",
"conversational",
"en",
"arxiv:2410.05993",
"base_model:rhymes-ai/Aria-Base-64K",
"base_model:finetune:rhymes-ai/Aria-Base-64K",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["AriaForConditionalGeneration"], "model_type": "aria", "processor_config": {"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message[... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": ["rhymes-ai/Aria-Base-64K"], "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", "aria"]} | null | null | [
"apache-2.0"
] | null | [
"en"
] | 25,307,311,216 | null | null | [
"aria",
"AriaForConditionalGeneration",
"AutoModelForImageTextToText"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
621ffdc136468d709f180b45 | 187dbb8fec734522 | 1cbc3b8a03d575de | 32,767 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 549 | svalabs/cross-electra-ms-marco-german-uncased | svalabs | null | 9,205 | 429,508 | False | 2022-03-02T23:29:05Z | 2025-06-04T14:40:35Z | transformers | 7 | 0 | null | text-classification | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | a2ce84f21927fc02f2a07b018537ec0c38f6dbb5 | [
"transformers",
"pytorch",
"electra",
"text-classification",
"arxiv:1908.10084",
"arxiv:1611.09268",
"arxiv:2104.08663",
"arxiv:2104.12741",
"arxiv:2010.02666",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["ElectraForSequenceClassification"], "model_type": "electra", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | null | |
|**Base model** | [```german-nlp-group/electra-base-german-uncased```](https://huggingface.co/german-nlp-group/electra-base-german-uncased) |
|**Finetuning task**| Passage Retrieval / Semantic Search |
|**Source dataset**| [```MSMARCO-Passage-Ranking```](https://github.com/microsoft/MSMARCO-Passage-Ranking) |
|*... | null | null | null | null | null | null | null | [
"ElectraForSequenceClassification",
"AutoModelForSequenceClassification",
"electra"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
66fdb827df07d774c5d3ede1 | 897e472a76b74290 | ca60ee72fe371096 | 49,155 | BPE | 48,891 | false | true | true | true | 22 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 367 | ibm-granite/granite-3.0-8b-instruct | ibm-granite | {
"models": [
{
"_id": "66fdb6401add69636b6722bc",
"id": "ibm-granite/granite-3.0-8b-base"
}
],
"relation": "finetune"
} | 27,419 | 486,958 | False | 2024-10-02T21:16:23Z | 2024-12-19T19:44:27Z | transformers | 206 | 0 | [{"name": "granite-3.0-2b-instruct", "results": [{"task": {"type": "text-generation"}, "dataset": {"type": "instruction-following", "name": "IFEval"}, "metrics": [{"name": "pass@1", "type": "pass@1", "value": 52.27, "veriefied": false, "verified": false}]}, {"task": {"type": "text-generation"}, "dataset": {"type": "ins... | text-generation | null | [
".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... | 5af56291a1c6ca9056df597aab0cff53edabddb0 | [
"transformers",
"safetensors",
"granite",
"text-generation",
"language",
"granite-3.0",
"conversational",
"arxiv:0000.00000",
"base_model:ibm-granite/granite-3.0-8b-base",
"base_model:finetune:ibm-granite/granite-3.0-8b-base",
"license:apache-2.0",
"model-index",
"region:us"
] | null | {"architectures": ["GraniteForCausalLM"], "model_type": "granite", "tokenizer_config": {"bos_token": "<|end_of_text|>", "chat_template": "{%- if tools %}\n {{- '<|start_of_role|>available_tools<|end_of_role|>\n' }}\n {%- for tool in tools %}\n {{- tool | tojson(indent=4) }}\n {%- if not loop.last %}\n ... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["ibm-granite/granite-3.0-8b-base"], "library_name": "transformers", "license": "apache-2.0", "pipeline_tag": "text-generation", "tags": ["language", "granite-3.0"], "inference": false, "new_version": "ibm-granite/granite-3.1-8b-instruct", "model-index": [{"name": "granite-3.0-2b-instruct", "results": [{... | <!--  -->
<!--  -->
# Granite-3.0-8B-Instruct
<!-- **Note: We are continuously improving our models and recommend users to checkout our latest [Gra... | null | [
"apache-2.0"
] | null | null | null | null | null | [
"granite",
"AutoModelForCausalLM",
"GraniteForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc136468d709f17c994 | e68b0b111c49dac2 | dd84a2b1ff97657d | 250,002 | Unigram | null | true | true | true | true | 5 | Precompiled | Sequence | Metaspace | [
"Precompiled"
] | [
"WhitespaceSplit",
"Metaspace"
] | [
"Metaspace"
] | 28 | ivanlau/language-detection-fine-tuned-on-xlm-roberta-base | ivanlau | null | 6,844 | 420,046 | False | 2022-03-02T23:29:05Z | 2021-12-17T10:33:13Z | transformers | 16 | 0 | [{"name": "language-detection-fine-tuned-on-xlm-roberta-base", "results": [{"task": {"name": "Text Classification", "type": "text-classification"}, "dataset": {"name": "common_language", "type": "common_language", "args": "full"}, "metrics": [{"name": "Accuracy", "type": "accuracy", "value": 0.9738386718094919, "verifi... | text-classification | null | [
".gitattributes",
".gitignore",
"README.md",
"config.json",
"pytorch_model.bin",
"runs/Nov24_07-10-47_68a9c49ae68b/1637737867.0445273/events.out.tfevents.1637737867.68a9c49ae68b.73.1",
"runs/Nov24_07-10-47_68a9c49ae68b/events.out.tfevents.1637737867.68a9c49ae68b.73.0",
"runs/Nov24_07-10-47_68a9c49ae68... | 4207aaa00b26aea91d99cb1abc2d7f56814fbe05 | [
"transformers",
"pytorch",
"tensorboard",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"dataset:common_language",
"license:mit",
"model-index",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["XLMRobertaForSequenceClassification"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": f... | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"datasets": ["common_language"], "license": "mit", "metrics": ["accuracy"], "tags": ["generated_from_trainer"], "model-index": [{"name": "language-detection-fine-tuned-on-xlm-roberta-base", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "common_language", "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. -->
# language-detection-fine-tuned-on-xlm-roberta-base
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co... | null | [
"mit"
] | [
"common_language"
] | null | null | null | [
"accuracy"
] | [
"AutoModelForSequenceClassification",
"XLMRobertaForSequenceClassification",
"xlm-roberta"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
66d95a65e83856057c631778 | 7967e1fae39d98e0 | 75b5e47a4b00191e | 151,655 | BPE | 151,387 | true | true | true | true | 12 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 57 | Qwen/Qwen2-VL-2B | Qwen | null | 3,518 | 397,482 | False | 2024-09-05T07:14:45Z | 2024-12-06T04:50:16Z | transformers | 61 | 1 | 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-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"preprocessor_config.json",
"tokenizer.json",
"tokenizer_config.json"... | d3a53f2484fce9d62fff115a5ddfc833f873bfde | [
"transformers",
"safetensors",
"qwen2_vl",
"image-text-to-text",
"multimodal",
"conversational",
"en",
"arxiv:2409.12191",
"arxiv:2308.12966",
"license:apache-2.0",
"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": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": ["multimodal"]} | # Qwen2-VL-2B
## 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-2B without instruction tuning.
### What’s New in Qwen2-VL?
#### Key Enhancements:
* **SoTA unders... | null | [
"apache-2.0"
] | null | [
"en"
] | 2,208,985,600 | null | null | [
"AutoModelForImageTextToText",
"qwen2_vl",
"Qwen2VLForConditionalGeneration"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
621ffdc136468d709f17a5dc | 30094a1eabdbef67 | db117e9883c4d0ab | 50,257 | BPE | 50,000 | false | true | true | true | 1 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 4 | deepparag/Aeona | deepparag | null | 1,073 | 380,376 | False | 2022-03-02T23:29:05Z | 2024-02-27T15:25:41Z | transformers | 20 | 0 | null | text-generation | {"parameters": {"F32": 354823168, "U8": 25165824}, "total": 379988992} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 874d2d73ef1b22d0a1f7eef20fa9839f2dd7e62d | [
"transformers",
"pytorch",
"safetensors",
"gpt2",
"text-generation",
"conversational",
"dataset:blended_skill_talk",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<|endoftext|>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "<|endoftext|>", "lstrip": false, "normalized"... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["blended_skill_talk"], "eval_results": null, "language": null, "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": ["accuracy", "f1", "perplexity"], "model_name": null, "pipeline_tag": "conversational", "tags": ["conversational"], "thumbnail":... | # Aeona | Chatbot
An generative AI made using [microsoft/DialoGPT-small](https://huggingface.co/microsoft/DialoGPT-small).
Recommended to use along with an [AIML Chatbot](https://github.com/deepsarda/Aeona-Aiml) to... | null | [
"mit"
] | [
"blended_skill_talk"
] | null | 379,988,992 | null | [
"accuracy",
"f1",
"perplexity"
] | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
654d06ce921f4f1ff4a43c85 | 3a732ab237c338af | c21f0239d1cf0f86 | 65,024 | BPE | 64,784 | false | true | false | true | 12 | null | Sequence | ByteLevel | null | [
"Punctuation",
"ByteLevel",
"Digits",
"Split"
] | [
"ByteLevel"
] | 45 | fxmarty/tiny-testing-falcon-alibi | fxmarty | null | 1,413 | 383,101 | False | 2023-11-09T16:20:30Z | 2023-11-09T16:21:11Z | transformers | 1 | 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"
] | 7137d2953d38e80b87edb42a6dba6c6373e13e10 | [
"transformers",
"pytorch",
"falcon",
"text-generation",
"custom_code",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["FalconForCausalLM"], "auto_map": {"AutoConfig": "tiiuae/falcon-7b--configuration_falcon.FalconConfig", "AutoModel": "tiiuae/falcon-7b--modeling_falcon.FalconModel", "AutoModelForCausalLM": "tiiuae/falcon-7b--modeling_falcon.FalconForCausalLM", "AutoModelForQuestionAnswering": "tiiuae/falcon-7b--mode... | {
"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} | null | null | [
"mit"
] | null | null | null | null | null | [
"AutoModelForCausalLM",
"falcon",
"FalconForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
654707bfb6a8bd2c90498343 | 16e7c4472bd9e4b6 | 2244742552034edc | 32,022 | BPE | 31,757 | true | true | true | true | 22 | Sequence | Sequence | ByteLevel | [] | [
"Split",
"Split",
"Split",
"Split",
"Digits",
"ByteLevel"
] | [
"ByteLevel"
] | 241 | TheBloke/deepseek-coder-6.7B-instruct-AWQ | TheBloke | {
"models": [
{
"_id": "653e3b904a52f10eaf646821",
"id": "deepseek-ai/deepseek-coder-6.7b-instruct"
}
],
"relation": "quantized"
} | 2,031 | 814,664 | False | 2023-11-05T03:10:55Z | 2023-11-13T12:58:45Z | transformers | 19 | 0 | null | text-generation | null | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"model.safetensors",
"quant_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 502ae3e19e57ae78dc30a791ba33c565da72dc62 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"base_model:deepseek-ai/deepseek-coder-6.7b-instruct",
"base_model:quantized:deepseek-ai/deepseek-coder-6.7b-instruct",
"license:other",
"text-generation-inference",
"4-bit",
"awq",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"quant_method": "awq", "bits": 4}, "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_t... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "deepseek-ai/deepseek-coder-6.7b-instruct", "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "other", "license_name": "deepseek", "license_link": "LICENSE", "metrics": null, "model_name": "Deepseek Coder 6.7B Instruct", "pipeline_tag": null, "tags": null, "infere... | <!-- markdownlint-disable MD041 -->
<!-- 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:... | null | [
"other",
"deepseek",
"LICENSE"
] | null | null | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
63e6c48c70fa0ed02a664987 | 58967ba68263f0aa | 2f8d5857ae5fa330 | 50,277 | BPE | 50,009 | true | true | true | true | 25 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 86 | EleutherAI/pythia-2.8b-deduped | EleutherAI | null | 7,132 | 418,600 | False | 2023-02-10T22:26:20Z | 2023-07-09T16:06:37Z | transformers | 14 | 0 | null | text-generation | {"parameters": {"F16": 2775209280, "U8": 134217728}, "total": 2909427008} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 7d977fed8c4ce9649816af8cd5fe36a639cbe5b2 | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"causal-lm",
"pythia",
"en",
"dataset:EleutherAI/the_pile_deduplicated",
"arxiv:2304.01373",
"arxiv:2101.00027",
"arxiv:2201.07311",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"depl... | null | {"architectures": ["GPTNeoXForCausalLM"], "model_type": "gpt_neox", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["EleutherAI/the_pile_deduplicated"], "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["pytorch", "causal-lm", "pythia"]} | The *Pythia Scaling Suite* is a collection of models developed to facilitate
interpretability research [(see paper)](https://arxiv.org/pdf/2304.01373.pdf).
It contains two sets of eight models of sizes
70M, 160M, 410M, 1B, 1.4B, 2.8B, 6.9B, and 12B. For each size, there are two
models: one trained on the Pile, and ... | null | [
"apache-2.0"
] | [
"EleutherAI/the_pile_deduplicated"
] | [
"en"
] | 2,909,427,008 | null | null | [
"gpt_neox",
"AutoModelForCausalLM",
"GPTNeoXForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc136468d709f17baa9 | 382b5a4eb98f0296 | d965e4a9140ecf72 | 21,128 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 33 | hfl/chinese-electra-small-discriminator | hfl | null | 20 | 381,976 | False | 2022-03-02T23:29:05Z | 2021-03-03T01:39:00Z | transformers | 3 | 0 | null | null | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | f59e9653eb2382d76ca1a45b782897158d828f26 | [
"transformers",
"pytorch",
"tf",
"electra",
"zh",
"arxiv:2004.13922",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"model_type": "electra", "tokenizer_config": {}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": null,
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["zh"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | **Please use `ElectraForPreTraining` for `discriminator` and `ElectraForMaskedLM` for `generator` if you are re-training these models.**
## Chinese ELECTRA
Google and Stanford University released a new pre-trained model called ELECTRA, which has a much compact model size and relatively competitive performance compared... | null | [
"apache-2.0"
] | null | [
"zh"
] | null | null | null | [
"AutoModel",
"electra"
] | [
null
] | null | null | null |
621ffdc136468d709f181351 | 35f8a93a304f6b78 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 6 | vblagoje/bart_lfqa | vblagoje | null | 959 | 378,859 | False | 2022-03-02T23:29:05Z | 2024-11-27T08:30:01Z | transformers | 48 | 0 | null | null | {"parameters": {"F32": 406341721}, "total": 406341721} | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"model.safetensors",
"pytorch_model.bin",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | e260637dfa473c4ff0ccb943f563fd4b5579d6cd | [
"transformers",
"pytorch",
"safetensors",
"bart",
"text2text-generation",
"en",
"dataset:vblagoje/lfqa",
"dataset:vblagoje/lfqa_support_docs",
"license:mit",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BartForConditionalGeneration"], "model_type": "bart", "tokenizer_config": {}} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["vblagoje/lfqa", "vblagoje/lfqa_support_docs"], "eval_results": null, "language": "en", "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | ## Introduction
See [blog post](https://towardsdatascience.com/long-form-qa-beyond-eli5-an-updated-dataset-and-approach-319cb841aabb) for more details.
## Usage
```python
import torch
from transformers import AutoTokenizer, AutoModel, AutoModelForSeq2SeqLM
model_name = "vblagoje/bart_lfqa"
device = torch.device('cud... | null | [
"mit"
] | [
"vblagoje/lfqa",
"vblagoje/lfqa_support_docs"
] | [
"en"
] | 406,341,721 | null | null | [
"bart",
"BartForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation"
] | null | null | null |
64d68955c3d51f77fbfb1de7 | 4821428fe78d9948 | 9fcb27202c2ad4b9 | 32,002 | BPE | 61,249 | true | false | true | true | 5 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 550 | Open-Orca/OpenOrca-Platypus2-13B | Open-Orca | null | 1,620 | 385,603 | False | 2023-08-11T19:17:41Z | 2023-09-24T18:02:39Z | transformers | 225 | 0 | null | text-generation | null | [
".gitattributes",
"Best_Platty_small.jpeg",
"Images/OrcaPlatypus.jpg",
"Images/OrcaPlatypus13BAGIEval.webp",
"Images/OrcaPlatypus13BBigBenchHard.webp",
"Images/OrcaPlatypus13BHFLeaderboard.webp",
"Images/OrcaPlatypusMerge.jpg",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.... | 04e22880de5edcda7b86092242ac0834bf191190 | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:garage-bAInd/Open-Platypus",
"dataset:Open-Orca/OpenOrca",
"arxiv:2308.07317",
"arxiv:2306.02707",
"arxiv:2301.13688",
"license:cc-by-nc-4.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"regio... | 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": ["garage-bAInd/Open-Platypus", "Open-Orca/OpenOrca"], "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "cc-by-nc-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": null} | <p><h1>🐋 The First OrcaPlatypus! 🐋</h1></p>
# OpenOrca-Platypus2-13B
OpenOrca-Platypus2-13B is a merge of [`garage-bAInd/Platypus2-13B`](https://huggingface.co/garage-bAInd/Platypus2-13B) and [`Open-Orca/O... | null | [
"cc-by-nc-4.0"
] | [
"garage-bAInd/Open-Platypus",
"Open-Orca/OpenOrca"
] | [
"en"
] | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6547412196c46859c2f8d3be | 16e7c4472bd9e4b6 | 2244742552034edc | 32,022 | BPE | 31,757 | true | true | true | true | 22 | Sequence | Sequence | ByteLevel | [] | [
"Split",
"Split",
"Split",
"Split",
"Digits",
"ByteLevel"
] | [
"ByteLevel"
] | 241 | TheBloke/deepseek-coder-33B-instruct-GPTQ | TheBloke | {
"models": [
{
"_id": "6541e63a5019954eefa3162c",
"id": "deepseek-ai/deepseek-coder-33b-instruct"
}
],
"relation": "quantized"
} | 285 | 382,922 | False | 2023-11-05T07:15:45Z | 2023-11-05T16:33:38Z | transformers | 25 | 0 | null | text-generation | {"parameters": {"I32": 32879673344, "BF16": 463318016, "F16": 3841024}, "total": 33346832384} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"model.safetensors",
"quantize_config.json",
"tokenizer.json",
"tokenizer_config.json"
] | 08372729d98dfc248f9531a412fe69e14e607027 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"base_model:deepseek-ai/deepseek-coder-33b-instruct",
"base_model:quantized:deepseek-ai/deepseek-coder-33b-instruct",
"license:other",
"text-generation-inference",
"4-bit",
"gptq",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"bits": 4, "quant_method": "gptq"}, "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "deepseek-ai/deepseek-coder-33b-instruct", "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "other", "license_name": "deepseek", "license_link": "LICENSE", "metrics": null, "model_name": "Deepseek Coder 33B Instruct", "pipeline_tag": null, "tags": null, "inferenc... | <!-- markdownlint-disable MD041 -->
<!-- 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:... | null | [
"other",
"deepseek",
"LICENSE"
] | null | null | 33,346,832,384 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67d83e7012f88731f74556f1 | 36f540ba5d7636bd | 1fe366e13272caa0 | 262,145 | BPE | 514,906 | true | true | true | true | 6,415 | Replace | Split | Sequence | [
"Replace"
] | [
"Split"
] | [
"Replace",
"ByteFallback",
"Fuse"
] | 551 | abhishekchohan/gemma-3-12b-it-quantized-W4A16 | abhishekchohan | {
"models": [
{
"_id": "67c35be6eae05d8f94fae4c2",
"id": "google/gemma-3-12b-it"
}
],
"relation": "quantized"
} | 226,348 | 1,412,641 | False | 2025-03-17T15:23:28Z | 2025-03-17T20:13:37Z | transformers | 7 | 0 | null | image-text-to-text | {"parameters": {"I64": 672, "I32": 1344798720, "BF16": 1512985200}, "total": 2857784592} | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.json",
"config.json",
"generation_config.json",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"preprocessor_config.json",
"processor_config.json",
"recipe.yaml",
"spec... | d9833e9131576955f818012055a0bc9b74b46e64 | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"conversational",
"base_model:google/gemma-3-12b-it",
"base_model:quantized:google/gemma-3-12b-it",
"license:gemma",
"text-generation-inference",
"endpoints_compatible",
"compressed-tensors",
"region:us"
] | 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-3-12b-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": "image-text-to-text", "tags": null, "extra_gated_heading": "Access Gemma ... | # Gemma 3 Quantized Models
This repository contains W4A16 quantized versions of Google's Gemma 3 instruction-tuned models, making them more accessible for deployment on consumer hardware while maintaining good performance.
## Models
- **abhishekchohan/gemma-3-27b-it-quantized-W4A16**
- **abhishekchohan/gemma-3-12b-i... | null | [
"gemma"
] | null | null | 2,857,784,592 | null | null | [
"AutoModelForImageTextToText",
"Gemma3ForConditionalGeneration",
"gemma3"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
621ffdc136468d709f1802c9 | 71140a663949f258 | 8a01c02d4d0a401c | 119,547 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 9 | sentence-transformers/msmarco-distilbert-multilingual-en-de-v2-tmp-lng-aligned | sentence-transformers | null | 426 | 379,008 | False | 2022-03-02T23:29:05Z | 2025-03-06T13:30:49Z | sentence-transformers | 5 | 0 | null | sentence-similarity | {"parameters": {"F32": 134734080}, "total": 134734080} | [
".gitattributes",
"1_Pooling/config.json",
"README.md",
"config.json",
"config_sentence_transformers.json",
"model.safetensors",
"modules.json",
"onnx/model.onnx",
"onnx/model_O1.onnx",
"onnx/model_O2.onnx",
"onnx/model_O3.onnx",
"onnx/model_O4.onnx",
"onnx/model_qint8_arm64.onnx",
"onnx/m... | f6fd3a520ecba9238d0b8fe0cb89173d04872d66 | [
"sentence-transformers",
"pytorch",
"tf",
"onnx",
"safetensors",
"openvino",
"distilbert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DistilBertModel"], "model_type": "distilbert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "sentence-transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "sentence-similarity", "tags": ["sentence-transformers", "feature-extraction",... | # sentence-transformers/msmarco-distilbert-multilingual-en-de-v2-tmp-lng-aligned
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Usin... | null | [
"apache-2.0"
] | null | null | 134,734,080 | null | null | [
"AutoModel",
"distilbert",
"DistilBertModel"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
654b39b0a2de0e36e462f513 | 41a000f2f9024404 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 13 | ESGBERT/EnvironmentalBERT-environmental | ESGBERT | null | 9,622 | 555,839 | False | 2023-11-08T07:33:04Z | 2025-11-10T16:38:40Z | transformers | 14 | 0 | null | text-classification | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 804e3f23cf992623168c37694249c6692cc72e8c | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"ESG",
"environmental",
"en",
"dataset:ESGBERT/environmental_2k",
"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": ["ESGBERT/environmental_2k"], "eval_results": null, "language": "en", "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["ESG", "environmental"]} | # Model Card for EnvironmentalBERT-environmental
## Model Description
Based on [this paper](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4622514), this is the EnvironmentalBERT-environmental language model. A language model that is trained to better classify environmental texts in the ESG domain.
Using the [E... | null | [
"apache-2.0"
] | [
"ESGBERT/environmental_2k"
] | [
"en"
] | null | null | null | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
68ea05ea8bfbf816c8e9ad2e | 7428ef9ae5ef868f | 67da9c236fa81925 | 151,669 | BPE | 151,387 | true | true | true | true | 26 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 47 | Qwen/Qwen3-VL-4B-Instruct | Qwen | null | 2,023,717 | 5,797,256 | False | 2025-10-11T07:23:22Z | 2025-10-15T16:15:55Z | transformers | 361 | 5 | null | image-text-to-text | {"parameters": {"BF16": 4437815808}, "total": 4437815808} | [
".gitattributes",
"README.md",
"chat_template.json",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"preprocessor_config.json",
"tokenizer.json",
"tokenizer_config.json",
"video_pr... | ebb281ec70b05090aa6165b016eac8ec08e71b17 | [
"transformers",
"safetensors",
"qwen3_vl",
"image-text-to-text",
"conversational",
"arxiv:2505.09388",
"arxiv:2502.13923",
"arxiv:2409.12191",
"arxiv:2308.12966",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen3VLForConditionalGeneration"], "model_type": "qwen3_vl", "processor_config": {"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {%- if messages[0].content is string %}\n {{- messages[0].content }}\n {%- el... | {
"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": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": null} | null | null | [
"apache-2.0"
] | null | null | 4,437,815,808 | null | null | [
"AutoModelForImageTextToText",
"qwen3_vl",
"Qwen3VLForConditionalGeneration"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
65eeff3ffc59f6e77eafb754 | d14c7d723d81192a | 1a6f37757fc590e3 | 32,032 | BPE | 58,980 | true | false | true | true | 35 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 552 | NousResearch/Hermes-2-Pro-Mistral-7B | NousResearch | {
"models": [
{
"_id": "650aedb6238a644cb93a52c3",
"id": "mistralai/Mistral-7B-v0.1"
}
],
"relation": "finetune"
} | 3,160 | 391,877 | False | 2024-03-11T12:55:27Z | 2024-09-08T08:08:34Z | transformers | 499 | 0 | [{"name": "Hermes-2-Pro-Mistral-7B", "results": []}] | text-generation | {"parameters": {"BF16": 7241994240}, "total": 7241994240} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
... | 24dbda51d986efa05201eec7a093ac91fc5519cf | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Mistral",
"instruct",
"finetune",
"chatml",
"DPO",
"RLHF",
"gpt4",
"synthetic data",
"distillation",
"function calling",
"json mode",
"conversational",
"en",
"dataset:teknium/OpenHermes-2.5",
"base_model:mistralai/Mist... | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": [{"name": "default", "template": "{{bos_token}}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "mistralai/Mistral-7B-v0.1", "datasets": ["teknium/OpenHermes-2.5"], "eval_results": [], "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": "Hermes-2-Pro-Mistral-7B", "pipeline_tag": null, "tags": ["Mistral", "inst... | # Hermes 2 Pro - Mistral 7B
## Model Description
Hermes 2 Pro on Mistral 7B is the new flagship 7B Hermes!
Hermes 2 Pro is an upgraded, retrained version of Nous Hermes 2, consisting of an updated ... | null | [
"apache-2.0"
] | [
"teknium/OpenHermes-2.5"
] | [
"en"
] | 7,241,994,240 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
687fad051ddf0947249b6695 | 7428ef9ae5ef868f | 67da9c236fa81925 | 151,669 | BPE | 151,387 | true | true | true | true | 26 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 47 | Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8 | Qwen | null | 70,105 | 945,828 | False | 2025-07-22T15:23:49Z | 2025-08-21T10:40:35Z | transformers | 149 | 0 | null | text-generation | null | [
".gitattributes",
"LICENSE",
"README.md",
"chat_template.jinja",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00049.safetensors",
"model-00002-of-00049.safetensors",
"model-00003-of-00049.safetensors",
"model-00004-of-00049.safetensors",
"model-00005-of-00049.safetens... | 003f183a92fbe5b9a8325aaa8b2ae797c91dd90f | [
"transformers",
"safetensors",
"qwen3_moe",
"text-generation",
"conversational",
"arxiv:2505.09388",
"license:apache-2.0",
"endpoints_compatible",
"fp8",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen3MoeForCausalLM"], "model_type": "qwen3_moe", "quantization_config": {"quant_method": "fp8"}, "tokenizer_config": {"bos_token": null, "chat_template": "{% macro render_extra_keys(json_dict, handled_keys) %}\n {%- if json_dict is mapping %}\n {%- for json_key in json_dict if json_key no... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-generat... | # Qwen3-Coder-480B-A35B-Instruct-FP8
<a href="https://chat.qwen.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
## Highlights
Today, we're announcing **Qwen3-Co... | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct/blob/main/LICENSE"
] | null | null | null | null | null | [
"qwen3_moe",
"AutoModelForCausalLM",
"Qwen3MoeForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
674d5c51abae643abcc4ab24 | a96b992324d02e42 | ac8d046cbfff5b57 | 100,018 | BPE | 99,757 | true | true | true | true | 18 | Sequence | Sequence | ByteLevel | [] | [
"Split",
"Split",
"Split",
"Split",
"Split",
"Digits",
"ByteLevel"
] | [
"ByteLevel"
] | 151 | Kwaipilot/KwaiCoder-DS-V2-Lite-Base | Kwaipilot | null | 49 | 371,949 | False | 2024-12-02T07:05:53Z | 2025-01-06T07:20:29Z | transformers | 7 | 0 | null | text-generation | {"parameters": {"BF16": 15706484224}, "total": 15706484224} | [
".gitattributes",
"README.md",
"config.json",
"configuration_deepseek.py",
"model-00001-of-000004.safetensors",
"model-00002-of-000004.safetensors",
"model-00003-of-000004.safetensors",
"model-00004-of-000004.safetensors",
"model.safetensors.index.json",
"modeling_deepseek.py",
"pytorch_model-00... | 151f1c7545e8907d77620920a815e6d7f081581b | [
"transformers",
"pytorch",
"safetensors",
"deepseek_v2",
"text-generation",
"code-generation",
"conversational",
"custom_code",
"multilingual",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DeepseekV2ForCausalLM"], "auto_map": {"AutoConfig": "configuration_deepseek.DeepseekV2Config", "AutoModel": "modeling_deepseek.DeepseekV2Model", "AutoModelForCausalLM": "modeling_deepseek.DeepseekV2ForCausalLM"}, "model_type": "deepseek_v2", "tokenizer_config": {"bos_token": {"__type": "AddedToken",... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["multilingual"], "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["code-generation", "transformers"]} | <div align="center">
<img src="https://raw.githubusercontent.com/Anditty/OASIS/refs/heads/main/Group.svg" width="60%" alt="Kwaipilot" />
</div>
<hr>
# Kwaipilot KwaiCoder-DS-V2-Lite-Base
## 1.Model Details
**Introduction**
Kwai-Coder-DS-V2-Lite-Base is built on Deepseek-v2-Lite-Base, which has a total of 16B para... | null | [
"mit"
] | null | [
"multilingual"
] | 15,706,484,224 | null | null | [
"AutoModelForCausalLM",
"DeepseekV2ForCausalLM",
"deepseek_v2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65531bd06a12e47a509523fe | 88cd37e502d27a0a | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 88 | Intel/neural-chat-7b-v3-1 | Intel | {
"models": [
{
"_id": "650aedb6238a644cb93a52c3",
"id": "mistralai/Mistral-7B-v0.1"
}
],
"relation": "finetune"
} | 2,917 | 384,766 | False | 2023-11-14T07:03:44Z | 2024-09-09T09:24:54Z | transformers | 548 | 0 | [{"name": "neural-chat-7b-v3-1", "results": [{"task": {"type": "Large Language Model", "name": "Large Language Model"}, "dataset": {"type": "Open-Orca/SlimOrca", "name": "Open-Orca/SlimOrca"}, "metrics": [{"type": "ARC (25-shot)", "value": 66.21, "name": "ARC (25-shot)", "verified": false}, {"type": "HellaSwag (10-shot... | text-generation | {"parameters": {"F16": 7241732096}, "total": 7241732096} | [
".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... | 8189385e1dc17bcff572511123b0ba7dc553f743 | [
"transformers",
"pytorch",
"safetensors",
"mistral",
"text-generation",
"LLMs",
"Intel",
"conversational",
"en",
"dataset:Open-Orca/SlimOrca",
"arxiv:2306.02707",
"base_model:mistralai/Mistral-7B-v0.1",
"base_model:finetune:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"model-index",... | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": null, "unk_token": "<unk>", "use_default_system_prompt": true, "chat_template": "{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content'] %}... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "mistralai/Mistral-7B-v0.1", "datasets": ["Open-Orca/SlimOrca"], "language": ["en"], "license": "apache-2.0", "pipeline_tag": "text-generation", "tags": ["LLMs", "mistral", "Intel"], "model-index": [{"name": "neural-chat-7b-v3-1", "results": [{"task": {"type": "Large Language Model", "name": "Large Langu... | ## Model Details: Neural-Chat-v3-1
This model is a fine-tuned 7B parameter LLM on the Intel Gaudi 2 processor from the [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the open source dataset [Open-Orca/SlimOrca](https://huggingface.co/datasets/Open-Orca/SlimOrca). The model was aligned... | null | [
"apache-2.0"
] | [
"Open-Orca/SlimOrca"
] | [
"en"
] | 7,241,732,096 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
647b3c28b31514a4a6d83660 | cc3bc270e8541932 | ade5e378ce727196 | 32,001 | BPE | 61,249 | true | false | true | true | 4 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 553 | TheBloke/Nous-Hermes-13B-GPTQ | TheBloke | null | 210 | 372,440 | False | 2023-06-03T13:12:08Z | 2023-08-21T10:17:55Z | transformers | 175 | 0 | null | text-generation | {"parameters": {"F32": 2132480, "I32": 12687769600, "BF16": 328104960}, "total": 13018007040} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"model.safetensors",
"quantize_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | 05c24345fc9a7b94b9e5ed7deebb534cd928a578 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"self-instruct",
"distillation",
"en",
"license:other",
"text-generation-inference",
"4-bit",
"gptq",
"deploy:azure",
"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": 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": null, "tags": ["llama", "self-instruct", "distillation"], "inference": false} | <!-- 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 | [
"other"
] | null | [
"en"
] | 13,018,007,040 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
638f0afc7879bae278a517bc | 53ecf467267e2824 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 0 | microsoft/git-base-coco | microsoft | null | 4,225 | 557,156 | False | 2022-12-06T09:27:24Z | 2023-02-08T10:48:43Z | transformers | 20 | 0 | null | image-to-text | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"preprocessor_config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | a13141da42abd4a8cbf283601a8104265f537cee | [
"transformers",
"pytorch",
"git",
"image-text-to-text",
"vision",
"image-captioning",
"image-to-text",
"en",
"arxiv:2205.14100",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GitForCausalLM"], "model_type": "git", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"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": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": "microsoft/git-base-coco", "pipeline_tag": "image-to-text", "tags": ["vision", "image-captioning"]} | # GIT (GenerativeImage2Text), base-sized, fine-tuned on COCO
GIT (short for GenerativeImage2Text) model, base-sized version, fine-tuned on COCO. It was introduced in the paper [GIT: A Generative Image-to-text Transformer for Vision and Language](https://arxiv.org/abs/2205.14100) by Wang et al. and first released in [t... | null | [
"mit"
] | null | [
"en"
] | null | null | null | [
"AutoModelForImageTextToText",
"GitForCausalLM",
"git"
] | [
"image-text-to-text",
"image-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
63d869f1f8fb9f0e9e19310f | 086036148c53e78f | d965e4a9140ecf72 | 21,128 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 14 | p208p2002/zh-wiki-punctuation-restore | p208p2002 | null | 51,332 | 439,641 | False | 2023-01-31T01:08:01Z | 2023-05-31T08:44:00Z | transformers | 12 | 0 | null | token-classification | {"parameters": {"I64": 512, "F32": 101682439}, "total": 101682951} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 53403e4544379dde70eed66f7b699dc48fcff150 | [
"transformers",
"pytorch",
"safetensors",
"bert",
"token-classification",
"ner",
"punctuation",
"zh",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "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"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["zh"], "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["ner", "punctuation"]} | # zh-wiki-punctuation-restore
More Detail: https://github.com/p208p2002/ZH-Punctuation-Restore
共計支援6種標點符號: ， 、 。 ？ ！ ；
## Install
```bash
# pip install torch pytorch-lightning
pip install zhpr
```
## Usage
```python
from zhpr.predict import DocumentDataset,merge_stride,decode_pred
from transformers import AutoModel... | null | null | null | [
"zh"
] | 101,682,951 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc136468d709f180306 | da443ce982f05a4c | dd84a2b1ff97657d | 250,002 | Unigram | null | true | true | true | true | 5 | Sequence | Metaspace | Metaspace | [
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 51 | sentence-transformers/xlm-r-bert-base-nli-stsb-mean-tokens | sentence-transformers | null | 8,451 | 410,193 | False | 2022-03-02T23:29:05Z | 2025-03-06T13:21:35Z | sentence-transformers | 0 | 0 | null | sentence-similarity | {"parameters": {"I64": 514, "F32": 278043648}, "total": 278044162} | [
".gitattributes",
"1_Pooling/config.json",
"README.md",
"config.json",
"config_sentence_transformers.json",
"model.safetensors",
"modules.json",
"onnx/model.onnx",
"onnx/model_O1.onnx",
"onnx/model_O2.onnx",
"onnx/model_O3.onnx",
"onnx/model_O4.onnx",
"onnx/model_qint8_arm64.onnx",
"onnx/m... | 57d9d22301f74c6e4ce847048e7019c56ab1619d | [
"sentence-transformers",
"pytorch",
"tf",
"onnx",
"safetensors",
"openvino",
"xlm-roberta",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["XLMRobertaModel"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": ... | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "sentence-transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "sentence-similarity", "tags": ["sentence-transformers", "feature-extraction",... | **⚠️ This model is deprecated. Please don't use it as it produces sentence embeddings of low quality. You can find recommended sentence embedding models here: [SBERT.net - Pretrained Models](https://www.sbert.net/docs/pretrained_models.html)**
# sentence-transformers/xlm-r-bert-base-nli-stsb-mean-tokens
This is a [s... | null | [
"apache-2.0"
] | null | null | 278,044,162 | null | null | [
"XLMRobertaModel",
"AutoModel",
"xlm-roberta"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
62932d2445f405d066789999 | d82c716f01e57f52 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 62 | RUCAIBox/mvp | RUCAIBox | null | 1,904 | 386,099 | False | 2022-05-29T08:21:56Z | 2022-06-27T02:27:44Z | transformers | 7 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | c1d9aeb879f3079101f716f1f6e7109fdd18b4e9 | [
"transformers",
"pytorch",
"mvp",
"text-generation",
"text2text-generation",
"summarization",
"conversational",
"en",
"arxiv:2206.12131",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"model_type": "mvp", "tokenizer_config": {}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": null,
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text2text-generation", "tags": ["text-generation", "text2text-generation", "summarization", "c... | # MVP
The MVP model was proposed in [**MVP: Multi-task Supervised Pre-training for Natural Language Generation**](https://arxiv.org/abs/2206.12131) by Tianyi Tang, Junyi Li, Wayne Xin Zhao and Ji-Rong Wen.
The detailed information and instructions can be found [https://github.com/RUCAIBox/MVP](https://github.com/RUCAI... | null | [
"apache-2.0"
] | null | [
"en"
] | null | null | null | [
"mvp",
"AutoModel"
] | [
null,
"summarization",
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
634e1786c1ce28f1de91d101 | 58967ba68263f0aa | 2f8d5857ae5fa330 | 50,277 | BPE | 50,009 | true | true | true | true | 25 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 86 | EleutherAI/pythia-1.4b-deduped-v0 | EleutherAI | null | 744 | 373,897 | False | 2022-10-18T03:03:34Z | 2023-07-09T16:02:25Z | transformers | 5 | 0 | null | text-generation | {"parameters": {"F16": 1414648192, "U8": 100663296}, "total": 1515311488} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 194e527f6a5d8c29b261b20e4b2ffb499f150498 | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"causal-lm",
"pythia",
"pythia_v0",
"en",
"dataset:EleutherAI/the_pile_deduplicated",
"arxiv:2101.00027",
"arxiv:2201.07311",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azur... | null | {"architectures": ["GPTNeoXForCausalLM"], "model_type": "gpt_neox", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["EleutherAI/the_pile_deduplicated"], "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["pytorch", "causal-lm", "pythia", "pythia_v0"]} | The *Pythia Scaling Suite* is a collection of models developed to facilitate
interpretability research. It contains two sets of eight models of sizes
70M, 160M, 410M, 1B, 1.4B, 2.8B, 6.9B, and 12B. For each size, there are two
models: one trained on the Pile, and one trained on the Pile after the dataset
has been g... | null | [
"apache-2.0"
] | [
"EleutherAI/the_pile_deduplicated"
] | [
"en"
] | 1,515,311,488 | null | null | [
"gpt_neox",
"AutoModelForCausalLM",
"GPTNeoXForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
667d82e1fa09156ea19c1db3 | e2c43495aed6e9fb | e6ffdc5dd5f1fd86 | 256,000 | BPE | 580,604 | true | false | true | true | 217 | Replace | null | Sequence | [
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse"
] | 106 | mlx-community/gemma-2-27b-it-4bit | mlx-community | null | 370 | 372,426 | False | 2024-06-27T15:18:57Z | 2024-11-06T22:56:30Z | transformers | 8 | 0 | null | text-generation | null | [
".gitattributes",
".ipynb_checkpoints/model-00003-of-00003-checkpoint.safetensors",
"README.md",
"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",
... | a102efcc5341c47791dc07c9f9eece30bdc4bb9d | [
"transformers",
"safetensors",
"gemma2",
"text-generation",
"mlx",
"conversational",
"license:gemma",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["Gemma2ForCausalLM"], "model_type": "gemma2", "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": null, "library_name": "transformers", "license": "gemma", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["mlx"], "extra_gated_heading": "Access Gemma on Hugging Face", "... | # mlx-community/gemma-2-27b-it-4bit
The Model [mlx-community/gemma-2-27b-it-4bit](https://huggingface.co/mlx-community/gemma-2-27b-it-4bit) was converted to MLX format from [google/gemma-2-27b-it](https://huggingface.co/google/gemma-2-27b-it) using mlx-lm version **0.15.0**.
## Use with mlx
```bash
pip install mlx-l... | null | [
"gemma"
] | null | null | null | null | null | [
"AutoModelForCausalLM",
"gemma2",
"Gemma2ForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
661e370b2d3999a0208370a2 | 53ecf467267e2824 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 0 | unography/blip-large-long-cap | unography | null | 1,483 | 384,211 | False | 2024-04-16T08:30:03Z | 2024-04-16T09:51:21Z | transformers | 5 | 0 | null | image-to-text | {"parameters": {"F32": 469732924}, "total": 469732924} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model.safetensors",
"preprocessor_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 53e2e6d82539f381891997c43289c3679f843f0e | [
"transformers",
"safetensors",
"blip",
"image-text-to-text",
"image-captioning",
"image-to-text",
"dataset:unography/laion-14k-GPT4V-LIVIS-Captions",
"license:bsd-3-clause",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BlipForConditionalGeneration"], "model_type": "blip", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": null, "datasets": ["unography/laion-14k-GPT4V-LIVIS-Captions"], "eval_results": null, "language": null, "library_name": null, "license": "bsd-3-clause", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-to-text", "tags": ["image-captioning"], "languag... | # LongCap: Finetuned [BLIP](https://huggingface.co/Salesforce/blip-image-captioning-large) for generating long captions of images, suitable for prompts for text-to-image generation and captioning text-to-image datasets
## Usage
You can use this model for conditional and un-conditional image captioning
### Using the... | null | [
"bsd-3-clause"
] | [
"unography/laion-14k-GPT4V-LIVIS-Captions"
] | null | 469,732,924 | null | null | [
"blip",
"AutoModelForImageTextToText",
"BlipForConditionalGeneration"
] | [
"image-text-to-text",
"image-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
63b0204661c6eafc31a02ab9 | 492a9f4f584c75aa | dd84a2b1ff97657d | 250,002 | Unigram | null | true | true | true | true | 5 | Precompiled | Sequence | Metaspace | [
"Precompiled"
] | [
"WhitespaceSplit",
"Metaspace"
] | [
"Metaspace"
] | 5 | facebook/xmod-base | facebook | null | 9,229 | 408,193 | False | 2022-12-31T11:43:02Z | 2023-10-06T11:27:37Z | transformers | 17 | 0 | null | fill-mask | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"tokenizer.json",
"tokenizer_config.json"
] | 1ff23836a9ee8b9656553630c33506a9a8a59c4f | [
"transformers",
"pytorch",
"xmod",
"fill-mask",
"multilingual",
"af",
"am",
"ar",
"az",
"be",
"bg",
"bn",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fr",
"ga",
"gl",
"gu",
"ha",
"he",
"hi",
"hr",
"hu",
"hy",
"i... | null | {"architectures": ["XmodForMaskedLM"], "model_type": "xmod", "tokenizer_config": {}} | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["multilingual", "af", "am", "ar", "az", "be", "bg", "bn", "ca", "cs", "cy", "da", "de", "el", "en", "eo", "es", "et", "eu", "fa", "fi", "fr", "ga", "gl", "gu", "ha", "he", "hi", "hr", "hu", "hy", "id", "is", "it", "ja", "ka", "kk", "km", "kn", "k... | # xmod-base
X-MOD is a multilingual masked language model trained on filtered CommonCrawl data containing 81 languages. It was introduced in the paper [Lifting the Curse of Multilinguality by Pre-training Modular Transformers](http://dx.doi.org/10.18653/v1/2022.naacl-main.255) (Pfeiffer et al., NAACL 2022) and first r... | null | [
"mit"
] | null | [
"multilingual",
"af",
"am",
"ar",
"az",
"be",
"bg",
"bn",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fr",
"ga",
"gl",
"gu",
"ha",
"he",
"hi",
"hr",
"hu",
"hy",
"id",
"is",
"it",
"ja",
"ka",
"kk",
"km",
"k... | null | null | null | [
"AutoModelForMaskedLM",
"xmod",
"XmodForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
67d148e76bd6c57bab1bbae8 | 46323c0f61df476d | 1fe366e13272caa0 | 262,145 | BPE | 514,906 | true | true | true | true | 6,415 | Replace | Split | Sequence | [
"Replace"
] | [
"Split"
] | [
"Replace",
"ByteFallback",
"Fuse"
] | 49 | unsloth/gemma-3-4b-it | unsloth | {
"models": [
{
"_id": "67b79c8700245b72c5706777",
"id": "google/gemma-3-4b-it"
}
],
"relation": "finetune"
} | 22,660 | 842,006 | False | 2025-03-12T08:42:15Z | 2025-05-12T07:54:39Z | transformers | 24 | 0 | null | image-text-to-text | {"parameters": {"BF16": 4300079472}, "total": 4300079472} | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.jinja",
"chat_template.json",
"config.json",
"generation_config.json",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"preprocessor_config.json",
"processor_config.json",... | bf46152c47f5dd20b896357cb51abc4c03b8ee8c | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"unsloth",
"conversational",
"arxiv:1905.07830",
"arxiv:1905.10044",
"arxiv:1911.11641",
"arxiv:1904.09728",
"arxiv:1705.03551",
"arxiv:1911.01547",
"arxiv:1907.10641",
"arxiv:1903.00161",
"arxiv:2009.03300",
"arxiv:2304.06... | null | {"architectures": ["Gemma3ForConditionalGeneration"], "model_type": "gemma3", "processor_config": {"chat_template": "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n {%- if messages[0]['content'] is string -%}\n {%- set first_user_prefix = messages[0]['content'] + '\n\n' -%}\n {%- else -%}\n ... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": ["google/gemma-3-4b-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": "image-text-to-text", "tags": ["unsloth"], "extra_gated_heading": "Acces... | # Gemma 3 model card
**Model Page**: [Gemma](https://ai.google.dev/gemma/docs/core)
**Resources and Technical Documentation**:
* [Gemma 3 Technical Report][g3-tech-report]
* [Responsible Generative AI Toolkit][rai-toolkit]
* [Gemma on Kaggle][kaggle-gemma]
* [Gemma on Vertex Model Garden][vertex-mg-gemma3]
**Terms ... | null | [
"gemma"
] | null | null | 4,300,079,472 | null | null | [
"AutoModelForImageTextToText",
"Gemma3ForConditionalGeneration",
"gemma3"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
6639c903c168eec0239c8801 | 6e6a83dc4b556c95 | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 111 | openchat/openchat-3.6-8b-20240522 | openchat | {
"models": [
{
"_id": "661f97d48e7f3438386f755d",
"id": "meta-llama/Meta-Llama-3-8B"
}
],
"relation": "finetune"
} | 11,025 | 415,579 | False | 2024-05-07T06:24:03Z | 2024-05-28T05:23:57Z | transformers | 157 | 0 | null | text-generation | {"parameters": {"BF16": 8030261248}, "total": 8030261248} | [
".gitattributes",
"README.md",
"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",
"openchat.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer... | 2264eb98558978f708e88ae52afb78e43b832801 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"openchat",
"llama3",
"C-RLFT",
"conversational",
"arxiv:2309.11235",
"base_model:meta-llama/Meta-Llama-3-8B",
"base_model:finetune:meta-llama/Meta-Llama-3-8B",
"license:llama3",
"text-generation-inference",
"endpoints_compatible",... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"chat_template": "{{ bos_token }}{% for message in messages %}{% if message['role'] in ['user', 'assistant'] %}{% set content = '<|start_header_id|>GPT4 Correct ' + message['role'].title() + '<|end_header_id|>\n\n' + message['content'] ... | {
"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": "transformers", "license": "llama3", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["openchat", "llama3", "C-RLFT"]} | <div align="center">
<img src="https://raw.githubusercontent.com/imoneoi/openchat/master/assets/logo_new.png" style="width: 65%">
<h1>Advancing Open-source Language Models with Mixed-Quality Data</h1>
</div>
<p align="center" style="margin-top: 0px;">
<a href="https://openchat.team">
<img src="https://github... | null | [
"llama3"
] | null | null | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65e96c8149528ee2dc538a5a | 53ecf467267e2824 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 0 | opensearch-project/opensearch-neural-sparse-encoding-v1 | opensearch-project | null | 3,653 | 383,310 | False | 2024-03-07T07:28:01Z | 2025-06-30T06:29:12Z | sentence-transformers | 13 | 0 | null | feature-extraction | {"parameters": {"I64": 512, "F32": 132955194}, "total": 132955706} | [
".gitattributes",
"1_SpladePooling/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",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 708f7e68f4aada15c2d59144a5187c521da6d8db | [
"sentence-transformers",
"pytorch",
"safetensors",
"bert",
"fill-mask",
"learned sparse",
"opensearch",
"transformers",
"retrieval",
"passage-retrieval",
"query-expansion",
"document-expansion",
"bag-of-words",
"sparse-encoder",
"sparse",
"splade",
"feature-extraction",
"en",
"ar... | null | {"architectures": ["BertForMaskedLM"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": "en", "library_name": "sentence-transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "feature-extraction", "tags": ["learned sparse", "opensearch", "transformers",... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 132,955,706 | null | null | [
"AutoModelForMaskedLM",
"bert",
"BertForMaskedLM"
] | [
"fill-mask",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
65fd9a1a87e4924a715fb5d8 | ac35e3244a1fc1f8 | 5ff1c70e91becad4 | 49,152 | BPE | 48,872 | false | true | false | true | 38 | null | Sequence | ByteLevel | null | [
"Digits",
"ByteLevel"
] | [
"ByteLevel"
] | 121 | TechxGenus/starcoder2-15b-GPTQ | TechxGenus | null | 30 | 367,315 | False | 2024-03-22T14:47:54Z | 2024-03-22T17:04:34Z | transformers | 2 | 0 | [{"name": "starcoder2-15b", "results": [{"task": {"type": "text-generation"}, "dataset": {"name": "CruxEval-I", "type": "cruxeval-i"}, "metrics": [{"type": "pass@1", "value": 48.1, "verified": false}]}, {"task": {"type": "text-generation"}, "dataset": {"name": "DS-1000", "type": "ds-1000"}, "metrics": [{"type": "pass@1... | text-generation | {"parameters": {"I32": 15351152640, "F16": 606736384}, "total": 15957889024} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"quantize_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | a52c00156480b60c876c68567af723a05cb17d10 | [
"transformers",
"safetensors",
"starcoder2",
"text-generation",
"code",
"dataset:bigcode/the-stack-v2-train",
"arxiv:2305.13245",
"arxiv:2205.14135",
"arxiv:2004.05150",
"arxiv:2207.14255",
"arxiv:2402.19173",
"license:bigcode-openrail-m",
"model-index",
"text-generation-inference",
"end... | null | {"architectures": ["Starcoder2ForCausalLM"], "model_type": "starcoder2", "quantization_config": {"bits": 4, "quant_method": "gptq"}, "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-v2-train"], "library_name": "transformers", "license": "bigcode-openrail-m", "pipeline_tag": "text-generation", "tags": ["code"], "inference": {"parameters": {"temperature": 0.2, "top_p": 0.95}}, "widget": [{"text": "def print_hello_world():", "example_title": "Hello world", "group": "P... | # StarCoder2
<center>
<img src="https://huggingface.co/datasets/bigcode/admin_private/resolve/main/starcoder2_banner.png" alt="SC2" width="900" height="600">
</center>
GPTQ quantized version of starcoder2-15b model.
---
## Table of Contents
1. [Model Summary](#model-summary)
2. [Use](#use)
3. [Limitations](#l... | null | [
"bigcode-openrail-m"
] | [
"bigcode/the-stack-v2-train"
] | null | 15,957,889,024 | null | null | [
"AutoModelForCausalLM",
"starcoder2",
"Starcoder2ForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
62628baae86343927a4c3c64 | 7a4cc4a6090329ff | ab8f40e5a89244c4 | 250,680 | BPE | 250,434 | false | true | true | true | 4 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 31 | bigscience/bigscience-small-testing | bigscience | null | 20,419 | 443,391 | False | 2022-04-22T11:04:10Z | 2023-03-24T08:39:39Z | transformers | 4 | 0 | null | text-generation | {"parameters": {"BF16": 16156544}, "total": 16156544} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 07cec32ba73113d4138131eff2c9516c773eba62 | [
"transformers",
"pytorch",
"safetensors",
"bloom",
"feature-extraction",
"integration",
"text-generation",
"eng",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BloomModel"], "model_type": "bloom", "tokenizer_config": {"unk_token": "<unk>", "eos_token": "</s>", "bos_token": "<s>", "pad_token": "<pad>"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["eng"], "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["integration"]} | # BigScience - testing model
This model aims to test the conversion between Megatron-LM and transformers. It is a small ```GPT-2```-like model that has been used to debug the script. Use it only for integration tests | null | null | null | [
"eng"
] | 16,156,544 | null | null | [
"AutoModel",
"bloom",
"BloomModel"
] | [
"feature-extraction",
"text-generation"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"text",
"embeddings"
] |
6414337809f89a9e5643ffd9 | 179f0ee8c5dedc6d | 8a01c02d4d0a401c | 119,547 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 24 | dmargutierrez/distilbert-base-multilingual-cased-mapa_coarse-ner | dmargutierrez | null | 2,940 | 386,601 | False | 2023-03-17T09:31:36Z | 2023-03-17T11:35:00Z | transformers | 1 | 0 | [{"name": "distilbert-base-multilingual-cased-mapa_coarse-ner", "results": [{"task": {"name": "Token Classification", "type": "token-classification"}, "dataset": {"name": "lextreme", "type": "lextreme", "config": "mapa_coarse", "split": "test", "args": "mapa_coarse"}, "metrics": [{"name": "Precision", "type": "precisio... | token-classification | {"parameters": {"F32": 134744077}, "total": 134744077} | [
".gitattributes",
".gitignore",
"README.md",
"config.json",
"model.safetensors",
"pytorch_model.bin",
"runs/Mar17_09-31-32_t1-45-bhs5/1679045501.3551981/events.out.tfevents.1679045501.t1-45-bhs5.19567.1",
"runs/Mar17_09-31-32_t1-45-bhs5/events.out.tfevents.1679045501.t1-45-bhs5.19567.0",
"special_to... | 7bf00734f485472ccac0484237cfe981274390e5 | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"distilbert",
"token-classification",
"generated_from_trainer",
"name-entity-recognition",
"legal",
"en",
"fr",
"it",
"es",
"de",
"nl",
"pl",
"ru",
"pt",
"dataset:lextreme",
"license:apache-2.0",
"model-index",
"endpo... | 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"
} | {"datasets": ["lextreme"], "language": ["en", "fr", "it", "es", "de", "nl", "pl", "ru", "pt"], "license": "apache-2.0", "metrics": ["precision", "recall", "f1", "accuracy"], "tags": ["generated_from_trainer", "name-entity-recognition", "legal"], "model-index": [{"name": "distilbert-base-multilingual-cased-mapa_coarse-n... | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-multilingual-cased-mapa_coarse-ner
This model is a fine-tuned version of [distilbert-base-multilingual-cased](htt... | null | [
"apache-2.0"
] | [
"lextreme"
] | [
"en",
"fr",
"it",
"es",
"de",
"nl",
"pl",
"ru",
"pt"
] | 134,744,077 | null | [
"precision",
"recall",
"f1",
"accuracy"
] | [
"AutoModelForTokenClassification",
"distilbert",
"DistilBertForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
659ffe1d44d2a6d6fb6c55f1 | b49e169598db4d83 | 0cdc2927ce4cf866 | 32,002 | BPE | 61,249 | true | false | true | true | 5 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 74 | bczhou/tiny-llava-v1-hf | bczhou | null | 1,357 | 372,283 | False | 2024-01-11T14:41:33Z | 2024-08-17T07:26:47Z | transformers | 57 | 0 | null | image-text-to-text | {"parameters": {"F32": 1410113536}, "total": 1410113536} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"preprocessor_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 70f28eb22f0265a8a41858f6aebc1928cedd53eb | [
"transformers",
"safetensors",
"llava",
"image-text-to-text",
"vision-language",
"llm",
"lmm",
"conversational",
"en",
"zh",
"dataset:Lin-Chen/ShareGPT4V",
"dataset:liuhaotian/LLaVA-Pretrain",
"dataset:liuhaotian/LLaVA-Instruct-150K",
"arxiv:2402.14289",
"license:apache-2.0",
"endpoint... | null | {"architectures": ["LlavaForConditionalGeneration"], "model_type": "llava", "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['role'] == 'system' %}\n{{ '<|system|>\n' + messa... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": null, "datasets": ["Lin-Chen/ShareGPT4V", "liuhaotian/LLaVA-Pretrain", "liuhaotian/LLaVA-Instruct-150K"], "eval_results": null, "language": ["en", "zh"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-... | <h2 align="center"> <a href="https://arxiv.org/abs/2402.14289">TinyLLaVA: A Framework of Small-scale Large Multimodal Models</a>
<h5 align="center">
[](https://github.com/DLCV-BUAA/TinyLLaVABench) [![arXiv](https://img.shields.io/badge/Arxiv-2402.14289-b31b... | null | [
"apache-2.0"
] | [
"Lin-Chen/ShareGPT4V",
"liuhaotian/LLaVA-Pretrain",
"liuhaotian/LLaVA-Instruct-150K"
] | [
"en",
"zh"
] | 1,410,113,536 | null | null | [
"AutoModelForImageTextToText",
"LlavaForConditionalGeneration",
"llava"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
64b72402fdb702b3d85cc9d2 | e23b6bdbe047bb7e | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 46 | TheBloke/Llama-2-70B-GPTQ | TheBloke | {
"models": [
{
"_id": "64ad19423b0219010e1d216c",
"id": "meta-llama/Llama-2-70b-hf"
}
],
"relation": "quantized"
} | 520 | 369,590 | False | 2023-07-18T23:45:06Z | 2023-09-27T12:44:50Z | transformers | 83 | 0 | null | text-generation | {"parameters": {"F32": 5120, "I32": 68451041280, "F16": 532324352}, "total": 68983370752} | [
".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"
] | 6794523b669a06e16de83a94b08d6593a842d0b7 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-2",
"en",
"arxiv:2307.09288",
"base_model:meta-llama/Llama-2-70b-hf",
"base_model:quantized:meta-llama/Llama-2-70b-hf",
"license:llama2",
"text-generation-inference",
"4-bit",
"gptq",
"de... | 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": "meta-llama/Llama-2-70b-hf", "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "llama2", "license_name": null, "license_link": null, "metrics": null, "model_name": "Llama 2 70B", "pipeline_tag": "text-generation", "tags": ["facebook", "meta", "pytorch", "llama",... | <!-- 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 | [
"en"
] | 68,983,370,752 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
666a8a873263a8feca624160 | 539b24ec3c9dbddd | 6ce596b7c0f62c6d | 151,647 | BPE | 151,387 | true | true | true | true | 4 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 234 | lmms-lab/llavanext-qwen-siglip-tokenizer | lmms-lab | null | 22 | 365,136 | False | 2024-06-13T05:58:31Z | 2024-07-11T03:32:15Z | transformers | 3 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"merges.txt",
"preprocessor_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | af1be478ee3e0e62c7e5773f1ec8a938d9ce63d8 | [
"transformers",
"llava",
"text-generation",
"conversational",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlavaQwenForCausalLM"], "model_type": "llava", "tokenizer_config": {"bos_token": null, "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoProcessor"
} | {"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 | null | null | null | [
"AutoModelForCausalLM",
"LlavaQwenForCausalLM",
"llava"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6428a3bdfdd449b0d8239754 | 2df163c4de2e6cb0 | 64af12b9fb05b1ef | 32,000 | BPE | 31,982 | true | true | true | true | 6 | Sequence | Split | BPEDecoder | [
"Strip",
"Replace"
] | [
"Split"
] | [
"BPEDecoder"
] | 554 | AIRI-Institute/gena-lm-bert-base-t2t | AIRI-Institute | null | 1,564 | 370,927 | False | 2023-04-01T21:35:57Z | 2025-09-10T11:49:12Z | transformers | 2 | 0 | null | fill-mask | {"parameters": {"I64": 512, "F32": 135258880}, "total": 135259392} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"modeling_bert.py",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 4f1352bd4e820f1dba341047f54ad7795e083bf2 | [
"transformers",
"pytorch",
"safetensors",
"bert",
"fill-mask",
"dna",
"human_genome",
"custom_code",
"arxiv:2002.04745",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForMaskedLM"], "auto_map": {"AutoModel": "modeling_bert.BertForMaskedLM"}, "model_type": "bert", "tokenizer_config": {}} | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["dna", "human_genome"]} | # GENA-LM (gena-lm-bert-base-t2t)
GENA-LM is a Family of Open-Source Foundational Models for Long DNA Sequences.
GENA-LM models are transformer masked language models trained on human DNA sequence.
Differences between GENA-LM (`gena-lm-bert-base-t2t`) and DNABERT:
- BPE tokenization instead of k-mers;
- input sequen... | null | null | null | null | 135,259,392 | null | null | [
"AutoModelForMaskedLM",
"bert",
"BertForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6500e19d85a884a964d35c0e | 271640fddfc1bd19 | 704a2955bcffd2d4 | 32,016 | BPE | 61,260 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 212 | EleutherAI/llemma_7b | EleutherAI | null | 836 | 367,561 | False | 2023-09-12T22:09:33Z | 2024-02-19T08:18:53Z | transformers | 112 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"llemma.png",
"pytorch_model-00001-of-00003.bin",
"pytorch_model-00002-of-00003.bin",
"pytorch_model-00003-of-00003.bin",
"pytorch_model.bin.index.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | e223eee41c53449e6ea6548c9b71c50865e4a85c | [
"transformers",
"pytorch",
"llama",
"text-generation",
"math",
"reasoning",
"en",
"dataset:EleutherAI/proof-pile-2",
"dataset:open-web-math/open-web-math",
"arxiv:2310.10631",
"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": ["EleutherAI/proof-pile-2", "open-web-math/open-web-math"], "eval_results": null, "language": ["en"], "library_name": null, "license": "llama2", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["math", "reasoning"]} | <img src="llemma.png" width="400">
[ArXiv](http://arxiv.org/abs/2310.10631) | [Models](https://huggingface.co/EleutherAI/llemma_34b) | [Data](https://huggingface.co/datasets/EleutherAI/proof-pile-2) | [Code](https://github.com/EleutherAI/math-lm) | [Blog](https://blog.eleuther.ai/llemma/) | [Sample Explorer](https://l... | null | [
"llama2"
] | [
"EleutherAI/proof-pile-2",
"open-web-math/open-web-math"
] | [
"en"
] | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65244da6a9a710554b1295b4 | b518ea34e9c3151b | ca32779f4bddb864 | 32,768 | BPE | 32,494 | true | true | true | true | 18 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 555 | replit/replit-code-v1_5-3b | replit | null | 119 | 365,500 | False | 2023-10-09T18:59:50Z | 2023-10-20T14:45:45Z | transformers | 312 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"adapt_tokenizer.py",
"attention.py",
"blocks.py",
"config.json",
"configuration_mpt.py",
"custom_embedding.py",
"fc.py",
"ffn.py",
"flash_attn_triton.py",
"generation_config.json",
"hf_prefixlm_converter.py",
"meta_init_context.py",
"modeling_mpt.py",
"n... | b85a5dd28ef6053ad095bf5113dd740a86a67597 | [
"transformers",
"pytorch",
"mpt",
"text-generation",
"code",
"Composer",
"MosaicML",
"llm-foundry",
"StreamingDatasets",
"custom_code",
"dataset:bigcode/the-stack-dedup",
"dataset:togethercomputer/RedPajama-Data-1T",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatibl... | null | {"architectures": ["MPTForCausalLM"], "auto_map": {"AutoConfig": "configuration_mpt.MPTConfig", "AutoModelForCausalLM": "modeling_mpt.MPTForCausalLM"}, "model_type": "mpt", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "modeling_mpt.MPTForCausalLM",
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["bigcode/the-stack-dedup", "togethercomputer/RedPajama-Data-1T"], "eval_results": null, "language": ["code"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["code", "Composer... | # Replit Code V-1.5 3B
Developed by: Replit, Inc.
## Model Description
Replit Code v1.5 is a 3.3B parameter Causal Language Model focused on **Code Completion**.
The model is trained in `bfloat16` on 1T tokens of code (~200B tokens over 5 epochs, including linear cooldown) for 30 programming languages from a subse... | null | [
"apache-2.0"
] | [
"bigcode/the-stack-dedup",
"togethercomputer/RedPajama-Data-1T"
] | [
"code"
] | null | null | null | [
"modeling_mpt.MPTForCausalLM",
"AutoModelForCausalLM",
"mpt",
"MPTForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
656761b79e2582138bc9e5c8 | 88cd37e502d27a0a | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 88 | robinsyihab/Sidrap-7B-v2-GPTQ-4bit | robinsyihab | null | 26 | 364,267 | False | 2023-11-29T16:07:19Z | 2023-11-29T17:17:10Z | transformers | 2 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"gptq_model-4bit-128g.safetensors",
"quantize_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | 736cdd5e97e48dd3f3bbc05713853d8a4285b544 | [
"transformers",
"mistral",
"text-generation",
"license:apache-2.0",
"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": true}} | {
"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} | # Sidrap-7B-v2-GPTQ-4bit
Sidrap-7B-v2-GPTQ-4bit is an 4-bit quantized model of Sidrap-7B-v2, which is one of the best open model LLM bahasa Indonesia available today. This model has been quantized using [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ) to get smaller model that allows us to run in a lower resource envi... | null | [
"apache-2.0"
] | null | null | null | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc136468d709f17a11a | c124163b72739cca | ef4806e2ade9022f | 32,100 | Unigram | null | true | true | true | true | 103 | Precompiled | Sequence | Metaspace | [
"Precompiled"
] | [
"WhitespaceSplit",
"Metaspace"
] | [
"Metaspace"
] | 162 | cnicu/t5-small-booksum | cnicu | null | 15,057 | 453,515 | False | 2022-03-02T23:29:05Z | 2022-02-26T21:32:52Z | transformers | 9 | 0 | null | summarization | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"spiece.model",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin"
] | 0169a67dc4873b529ca3612bdc9d79365632816a | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"summarization",
"summary",
"dataset:kmfoda/booksum",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["T5ForConditionalGeneration"], "model_type": "t5", "tokenizer_config": {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["kmfoda/booksum"], "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": ["summarization", "summary"]} | null | [
"mit"
] | [
"kmfoda/booksum"
] | null | null | null | null | [
"t5",
"T5ForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation",
"summarization"
] | [
"text"
] | [
"text"
] | [
"text"
] | |
62b504c268ca80b3ad3a5274 | d82c716f01e57f52 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 62 | shatabdi/twisent_twisent | shatabdi | null | 11 | 361,840 | False | 2022-06-24T00:26:42Z | 2022-06-24T00:40:53Z | transformers | 1 | 0 | [{"name": "twisent_twisent", "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"
] | ab00a8dbe09f44216edba796318345482c52a91f | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"generated_from_trainer",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForSequenceClassification"], "model_type": "roberta", "tokenizer_config": {"bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": fal... | {
"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": null, "license_name": null, "license_link": null, "metrics": null, "model_name": "twisent_twisent", "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. -->
# twisent_twisent
This model is a fine-tuned version of [siebert/sentiment-roberta-large-english](https://huggingface.co/siebert/se... | null | null | null | null | null | null | null | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
685f880a35eb99ba16c7cfc9 | bc23e733a7166c39 | 61daf977e586b75c | 101,304 | BPE | 182,926 | true | false | true | true | 1,029 | Sequence | null | Sequence | [
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse"
] | 487 | baidu/ERNIE-4.5-21B-A3B-PT | baidu | null | 31,826 | 471,803 | False | 2025-06-28T06:13:30Z | 2025-11-26T07:52:39Z | transformers | 167 | 2 | null | text-generation | null | [
".gitattributes",
"LICENSE",
"README.md",
"added_tokens.json",
"chat_template.jinja",
"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.s... | 87db95487941cb39592ee0abca3b9155a6d19c5c | [
"transformers",
"safetensors",
"ernie4_5_moe",
"text-generation",
"ERNIE4.5",
"conversational",
"en",
"zh",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"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"
] |
654b3aff7f679f0f69aa5d6b | 41a000f2f9024404 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 13 | ESGBERT/SocialBERT-social | ESGBERT | null | 9,483 | 540,065 | False | 2023-11-08T07:38:39Z | 2025-11-10T16:42:04Z | transformers | 0 | 0 | null | text-classification | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | e0bef3b8ea33ae02e87bfe8057ee78a9665d0476 | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"ESG",
"social",
"en",
"dataset:ESGBERT/social_2k",
"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": ["ESGBERT/social_2k"], "eval_results": null, "language": "en", "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["ESG", "social"]} | # Model Card for SocialBERT-social
## Model Description
Based on [this paper](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4622514), this is the SocialBERT-social language model. A language model that is trained to better classify social texts in the ESG domain.
Using the [SocialBERT-base](https://huggingface... | null | [
"apache-2.0"
] | [
"ESGBERT/social_2k"
] | [
"en"
] | null | null | null | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc136468d709f17a148 | 4442c85245f5a070 | 7f171e98bdd0da5f | 83,828 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 380 | cointegrated/rubert-tiny2-cedr-emotion-detection | cointegrated | null | 2,095 | 381,986 | False | 2022-03-02T23:29:05Z | 2023-03-20T09:52:11Z | transformers | 40 | 0 | null | text-classification | {"parameters": {"I64": 2048, "F32": 29195646}, "total": 29197694} | [
".gitattributes",
"README.md",
"config.json",
"logreg.pickle",
"model.safetensors",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 453ae93ca895c98cda29522c72b6fbc5a08067b9 | [
"transformers",
"pytorch",
"safetensors",
"bert",
"text-classification",
"russian",
"classification",
"sentiment",
"emotion-classification",
"multiclass",
"ru",
"dataset:cedr",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertForSequenceClassification"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["cedr"], "eval_results": null, "language": ["ru"], "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["russian", "classification", "sentiment", "emotion-classification", "multiclass"], "... | This is the [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) model fine-tuned for classification of emotions in Russian sentences. The task is multilabel classification, because one sentence can contain multiple emotions.
The model on the [CEDR dataset](https://huggingface.co/datasets/cedr... | null | null | [
"cedr"
] | [
"ru"
] | 29,197,694 | null | null | [
"BertForSequenceClassification",
"bert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6549f9e29b86bd6b2c7d36e9 | 41a000f2f9024404 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 13 | ESGBERT/GovernanceBERT-governance | ESGBERT | null | 9,428 | 539,547 | False | 2023-11-07T08:48:34Z | 2025-11-10T16:41:02Z | transformers | 0 | 0 | null | text-classification | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 9e9f825dad0bf48f4520269f5f2c0e14b16ff8c8 | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"ESG",
"governance",
"en",
"dataset:ESGBERT/governance_2k",
"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": ["ESGBERT/governance_2k"], "eval_results": null, "language": "en", "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["ESG", "governance"]} | # Model Card for GovernanceBERT-governance
## Model Description
Based on [this paper](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4622514), this is the GovernanceBERT-governance language model. A language model that is trained to better classify governance texts in the ESG domain.
Using the [GovernanceBERT-b... | null | [
"apache-2.0"
] | [
"ESGBERT/governance_2k"
] | [
"en"
] | null | null | null | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
687e21806afc5d217330f769 | 7428ef9ae5ef868f | 67da9c236fa81925 | 151,669 | BPE | 151,387 | true | true | true | true | 26 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 47 | Qwen/Qwen3-235B-A22B-Instruct-2507-FP8 | Qwen | {
"models": [
{
"_id": "687de260234339fed21e768a",
"id": "Qwen/Qwen3-235B-A22B-Instruct-2507"
}
],
"relation": "quantized"
} | 291,161 | 2,703,539 | False | 2025-07-21T11:16:16Z | 2025-09-17T06:53:28Z | transformers | 146 | 0 | null | text-generation | {"parameters": {"BF16": 1309010944, "F8_E4M3": 233798893568}, "total": 235107904512} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00024.safetensors",
"model-00002-of-00024.safetensors",
"model-00003-of-00024.safetensors",
"model-00004-of-00024.safetensors",
"model-00005-of-00024.safetensors",
"model-00006-of-0... | e156cb4efae43fbee1a1ab073f946a1377e6b969 | [
"transformers",
"safetensors",
"qwen3_moe",
"text-generation",
"conversational",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-235B-A22B-Instruct-2507",
"base_model:quantized:Qwen/Qwen3-235B-A22B-Instruct-2507",
"license:apache-2.0",
"endpoints_compatible",
"fp8",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen3MoeForCausalLM"], "model_type": "qwen3_moe", "quantization_config": {"quant_method": "fp8"}, "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["Qwen/Qwen3-235B-A22B-Instruct-2507"], "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen3-235B-A22B-Instruct-2507-FP8/blob/main/LICENSE", "metrics": null, "model_name"... | # Qwen3-235B-A22B-Instruct-2507-FP8
<a href="https://chat.qwen.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
## Highlights
We introduce the updated version of... | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen3-235B-A22B-Instruct-2507-FP8/blob/main/LICENSE"
] | null | null | 235,107,904,512 | null | null | [
"qwen3_moe",
"AutoModelForCausalLM",
"Qwen3MoeForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6308bde83485f37782a0c88f | 706a9444d636d09c | 06c2e7eaed229fcd | 128,000 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 556 | busecarik/berturk-sunlp-ner-turkish | busecarik | null | 39 | 358,084 | False | 2022-08-26T12:34:48Z | 2023-01-09T19:38:54Z | transformers | 9 | 0 | null | token-classification | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | cec94e0d2cdfb756973d9fdf2885e8748c76d460 | [
"transformers",
"pytorch",
"tf",
"bert",
"token-classification",
"tr",
"dataset:SUNLP-NER-Twitter",
"endpoints_compatible",
"deploy:azure",
"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"
} | {"base_model": null, "datasets": ["SUNLP-NER-Twitter"], "eval_results": null, "language": "tr", "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # berturk-sunlp-ner-turkish
## Introduction
[berturk-sunlp-ner-turkish] is a NER model that was fine-tuned from the BERTurk-cased model on the SUNLP-NER-Twitter dataset.
## Training data
The model was trained on the SUNLP-NER-Twitter dataset (5000 tweets). The dataset can be found at https://github.com/SU-NLP/SUNLP-T... | null | null | [
"SUNLP-NER-Twitter"
] | [
"tr"
] | null | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc136468d709f17e861 | 6487da57c9935088 | 5f9f736c7dc6fbfa | 28,996 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 557 | nntadotzip/xlnet-base-cased-IUChatbot-ontologyDts-BertPretrainedTokenizerFast | nntadotzip | null | 2 | 357,611 | False | 2022-03-02T23:29:05Z | 2022-01-20T18:06:05Z | transformers | 0 | 0 | [{"name": "xlnet-base-cased-IUChatbot-ontologyDts-BertPretrainedTokenizerFast", "results": []}] | question-answering | null | [
".gitattributes",
".gitignore",
"README.md",
"config.json",
"pytorch_model.bin",
"runs/Jan20_17-21-29_f229a5e268a8/1642699304.1800606/events.out.tfevents.1642699304.f229a5e268a8.74.1",
"runs/Jan20_17-21-29_f229a5e268a8/events.out.tfevents.1642699304.f229a5e268a8.74.0",
"special_tokens_map.json",
"to... | 516f02edce4a408d4b46fe90b9c9e226cba842a0 | [
"transformers",
"pytorch",
"tensorboard",
"xlnet",
"question-answering",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["XLNetForQuestionAnsweringSimple"], "model_type": "xlnet", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForQuestionAnswering",
"custom_class": null,
"pipeline_tag": "question-answering",
"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": "xlnet-base-cased-IUChatbot-ontologyDts-BertPretrainedTokenizerFast", "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. -->
# xlnet-base-cased-IUChatbot-ontologyDts-BertPretrainedTokenizerFast
This model is a fine-tuned version of [xlnet-base-cased](https... | null | [
"mit"
] | null | null | null | null | null | [
"xlnet",
"AutoModelForQuestionAnswering",
"XLNetForQuestionAnsweringSimple"
] | [
"question-answering"
] | [
"text"
] | [
"text"
] | [
"text"
] |
660dc210076a62556587eef9 | 34093184d10f76a9 | 35b001f3a491f9f9 | 151,646 | BPE | 151,387 | true | true | true | true | 3 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 53 | Qwen/Qwen1.5-32B-Chat | Qwen | null | 15,634 | 520,233 | False | 2024-04-03T20:54:40Z | 2024-04-30T07:23:48Z | transformers | 109 | 0 | null | text-generation | {"parameters": {"BF16": 32512218112}, "total": 32512218112} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00017.safetensors",
"model-00002-of-00017.safetensors",
"model-00003-of-00017.safetensors",
"model-00004-of-00017.safetensors",
"model-00005-of-00017.safetensors",
"model-00006-of-0... | 0997b012af6ddd5465d40465a8415535b2f06cfc | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"arxiv:2309.16609",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] +... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "other", "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B-Chat/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": [... | # Qwen1.5-32B-Chat
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B dense models, and a... | null | [
"other",
"tongyi-qianwen",
"https://huggingface.co/Qwen/Qwen1.5-32B-Chat/blob/main/LICENSE"
] | null | [
"en"
] | 32,512,218,112 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
637ca1b3a350488e41142d16 | 30094a1eabdbef67 | db117e9883c4d0ab | 50,257 | BPE | 50,000 | false | true | true | true | 1 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 4 | optimum/gpt2 | optimum | null | 313 | 360,393 | False | 2022-11-22T10:17:23Z | 2023-01-03T10:29:58Z | transformers | 6 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"decoder_model.onnx",
"decoder_with_past_model.onnx",
"tokenizer.json"
] | 1869d03cd2091ba24cde0958690105c92c1ca36c | [
"transformers",
"onnx",
"gpt2",
"text-generation",
"exbert",
"en",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2"} | {
"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": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["exbert"]} | # GPT-2
Test the whole generation capabilities here: https://transformer.huggingface.co/doc/gpt2-large
Pretrained model on English language using a causal language modeling (CLM) objective. It was introduced in
[this paper](https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_mu... | null | [
"mit"
] | null | [
"en"
] | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
667c4d85c520fdf1548b6839 | 34093184d10f76a9 | 35b001f3a491f9f9 | 151,646 | BPE | 151,387 | true | true | true | true | 3 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 53 | FreedomIntelligence/HuatuoGPT-Vision-7B | FreedomIntelligence | null | 686 | 393,117 | False | 2024-06-26T17:19:01Z | 2024-06-29T16:22:26Z | transformers | 25 | 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... | 34dfcdbb7728ff38da865839f342b88c4cf6ef39 | [
"transformers",
"safetensors",
"llava_qwen2",
"text-generation",
"conversational",
"en",
"zh",
"dataset:FreedomIntelligence/PubMedVision",
"arxiv:2406.19280",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlavaQwen2ForCausalLM"], "model_type": "llava_qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": null, "datasets": ["FreedomIntelligence/PubMedVision"], "eval_results": null, "language": ["en", "zh"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": null} | <div align="center">
<h1>
HuatuoGPT-Vision-7B
</h1>
</div>
<div align="center">
<a href="https://github.com/FreedomIntelligence/HuatuoGPT-Vision" target="_blank">GitHub</a> | <a href="https://arxiv.org/abs/2406.19280" target="_blank">Paper</a>
</div>
# <span id="Start">Introduction</span>
HuatuoGPT-Vision is a mult... | null | [
"apache-2.0"
] | [
"FreedomIntelligence/PubMedVision"
] | [
"en",
"zh"
] | 7,935,646,208 | null | null | [
"LlavaQwen2ForCausalLM",
"AutoModelForCausalLM",
"llava_qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
68119ee26a014c6e058365dd | 7428ef9ae5ef868f | 67da9c236fa81925 | 151,669 | BPE | 151,387 | true | true | true | true | 26 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 47 | dnotitia/Smoothie-Qwen3-1.7B | dnotitia | {
"models": [
{
"_id": "680da7517bcb5198014ad394",
"id": "Qwen/Qwen3-1.7B"
}
],
"relation": "finetune"
} | 29 | 362,075 | False | 2025-04-30T03:54:10Z | 2025-05-04T15:03:36Z | transformers | 2 | 0 | null | text-generation | {"parameters": {"BF16": 1720574976}, "total": 1720574976} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 373959651cf3ad159624e2c2b20a3d3080eb49cb | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"dnotitia",
"nlp",
"llm",
"conversation",
"chat",
"reasoning",
"conversational",
"en",
"base_model:Qwen/Qwen3-1.7B",
"base_model:finetune:Qwen/Qwen3-1.7B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compati... | null | {"architectures": ["Qwen3ForCausalLM"], "model_type": "qwen3", "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call o... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["Qwen/Qwen3-1.7B"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["dnotitia", "nlp", "llm", "conversation", ... | # Smoothie Qwen
<img src="https://github.com/dnotitia/smoothie-qwen/raw/main/asset/smoothie-qwen-logo.png" width="400" style="max-width: 100%;">
**Smoothie Qwen** is a lightweight adjustment tool that smooths token probabilities in Qwen and similar models, enhancing balanced multilingual generation capabilities. For ... | null | [
"apache-2.0"
] | null | [
"en"
] | 1,720,574,976 | null | null | [
"AutoModelForCausalLM",
"Qwen3ForCausalLM",
"qwen3"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67d110d671a53c15f6452217 | 4f91da2c156973cc | 0a1438da55eb2e11 | 102,400 | BPE | 101,782 | true | true | true | true | 362 | NFKC | Sequence | ByteLevel | [
"NFKC"
] | [
"Digits",
"ByteLevel"
] | [
"ByteLevel"
] | 285 | LGAI-EXAONE/EXAONE-Deep-7.8B | LGAI-EXAONE | {
"models": [
{
"_id": "674c617599dbb7a9a7f76420",
"id": "LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct"
}
],
"relation": "finetune"
} | 284,313 | 866,091 | False | 2025-03-12T04:43:02Z | 2026-02-06T06:28:12Z | transformers | 100 | 2 | null | text-generation | {"parameters": {"BF16": 7818448896}, "total": 7818448896} | [
".gitattributes",
"LICENSE",
"README.md",
"assets/EXAONE_Symbol+BI_3d.png",
"assets/exaone_deep_overall_performance.png",
"config.json",
"configuration_exaone.py",
"generation_config.json",
"merges.txt",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00... | 8a120673fc7309b55be2175a2e61f9a0839e4f61 | [
"transformers",
"safetensors",
"exaone",
"text-generation",
"lg-ai",
"exaone-deep",
"conversational",
"custom_code",
"en",
"ko",
"arxiv:2503.12524",
"base_model:LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct",
"base_model:finetune:LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct",
"license:other",
"region:us"... | null | {"architectures": ["ExaoneForCausalLM"], "auto_map": {"AutoConfig": "configuration_exaone.ExaoneConfig", "AutoModelForCausalLM": "modeling_exaone.ExaoneForCausalLM", "AutoModelForSequenceClassification": "modeling_exaone.ExaoneForSequenceClassification"}, "model_type": "exaone", "tokenizer_config": {"bos_token": "[BOS]... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "modeling_exaone.ExaoneForCausalLM",
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": "LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct", "datasets": null, "eval_results": null, "language": ["en", "ko"], "library_name": "transformers", "license": "other", "license_name": "exaone", "license_link": "LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["lg-ai", "exa... | <p align="center">
<img src="assets/EXAONE_Symbol+BI_3d.png", width="300", style="margin: 40 auto;">
<br>
# EXAONE-Deep-7.8B
## Introduction
We introduce EXAONE Deep, which exhibits superior capabilities in various reasoning tasks including math and coding benchmarks, ranging from 2.4B to 32B parameters developed an... | null | [
"other",
"exaone",
"LICENSE"
] | null | [
"en",
"ko"
] | 7,818,448,896 | null | null | [
"AutoModelForCausalLM",
"exaone",
"modeling_exaone.ExaoneForCausalLM",
"ExaoneForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6877f22123c030042d0ee584 | e034328a2d067fa5 | daab2a732bab72e2 | 128,001 | Unigram | null | true | true | true | true | 5 | Sequence | Sequence | Metaspace | [
"Strip",
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 237 | OpenMed/OpenMed-NER-OncologyDetect-SuperClinical-434M | OpenMed | null | 133,588 | 1,148,991 | False | 2025-07-16T18:40:33Z | 2025-08-05T09:31:18Z | transformers | 8 | 0 | null | token-classification | {"parameters": {"BF16": 434045985}, "total": 434045985} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"model.safetensors",
"openmed_vs_sota_grouped_bars.png",
"special_tokens_map.json",
"spm.model",
"test_results.json",
"tokenizer.json",
"tokenizer_config.json"
] | 95364c370ca513e2f66f0d8f653451100a709f78 | [
"transformers",
"safetensors",
"deberta-v2",
"token-classification",
"named-entity-recognition",
"biomedical-nlp",
"cancer-genetics",
"oncology",
"gene-regulation",
"cancer-research",
"amino_acid",
"anatomical_system",
"cancer",
"cell",
"cellular_component",
"developing_anatomical_stru... | null | {"architectures": ["DebertaV2ForTokenClassification"], "model_type": "deberta-v2", "tokenizer_config": {"bos_token": "[CLS]", "cls_token": "[CLS]", "eos_token": "[SEP]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "named-entity-recognition", "biomedical-nlp", "transform... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 434,045,985 | null | null | [
"DebertaV2ForTokenClassification",
"AutoModelForTokenClassification",
"deberta-v2"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
64c1dc5da3d4c23e0e93293c | 6949732424a8d297 | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 42 | stabilityai/StableBeluga-13B | stabilityai | null | 1,645 | 363,090 | False | 2023-07-27T02:54:21Z | 2023-08-29T20:21:26Z | transformers | 112 | 0 | null | text-generation | {"parameters": {"F32": 2560, "F16": 13015864320}, "total": 13015866880} | [
".gitattributes",
"LICENSE.txt",
"LLAMA 2 LICENSE/LICENSE.txt",
"LLAMA 2 LICENSE/Responsible-Use-Guide.pdf",
"LLAMA 2 LICENSE/USE_POLICY.md",
"Notice",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00003.safetensors",
"model-00002-of-00003.safetensors",
"model-00003-of-... | 36017a6c6bc47d41cc0572aeba36ad840f0237f8 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"en",
"dataset:conceptofmind/cot_submix_original",
"dataset:conceptofmind/flan2021_submix_original",
"dataset:conceptofmind/t0_submix_original",
"dataset:conceptofmind/niv2_submix_original",
"arxiv:2307.09288",
"arxiv:2306.02707",
"tex... | 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": ["conceptofmind/cot_submix_original", "conceptofmind/flan2021_submix_original", "conceptofmind/t0_submix_original", "conceptofmind/niv2_submix_original"], "eval_results": null, "language": ["en"], "library_name": null, "license": null, "license_name": null, "license_link": null, "metric... | # Stable Beluga 13B
Use [Stable Chat (Research Preview)](https://chat.stability.ai/chat) to test Stability AI's best language models for free
## Model Description
`Stable Beluga 13B` is a Llama2 13B model finetuned on an Orca style Dataset
## Usage
Start chatting with `Stable Beluga 13B` using the following code s... | null | null | [
"conceptofmind/cot_submix_original",
"conceptofmind/flan2021_submix_original",
"conceptofmind/t0_submix_original",
"conceptofmind/niv2_submix_original"
] | [
"en"
] | 13,015,866,880 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6749937f2e62a1fc6eaf15d2 | c0e1b90c863bae56 | fef4c97d7f951c6a | 131,072 | BPE | 128,810 | false | true | false | true | 2,024 | null | Sequence | ByteLevel | null | [
"Punctuation",
"ByteLevel",
"Digits"
] | [
"ByteLevel"
] | 558 | tiiuae/Falcon3-7B-Instruct | tiiuae | {
"models": [
{
"_id": "673f00359650116f044133ac",
"id": "tiiuae/Falcon3-7B-Base"
}
],
"relation": "finetune"
} | 24,415 | 431,659 | False | 2024-11-29T10:12:15Z | 2025-05-31T08:24:41Z | transformers | 77 | 1 | null | text-generation | {"parameters": {"BF16": 7455550464}, "total": 7455550464} | [
".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",
"... | 1e57a0ecd176c7c139f289c60a74e57f887c3dfb | [
"transformers",
"safetensors",
"llama",
"text-generation",
"falcon3",
"conversational",
"en",
"fr",
"es",
"pt",
"base_model:tiiuae/Falcon3-7B-Base",
"base_model:finetune:tiiuae/Falcon3-7B-Base",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"chat_template": "{%- if tools %}\n{{- '<|system|>\\n' }}\n{%- if messages[0]['role'] == 'system' %}\n{{- messages[0]['content'] }}\n{%- set remaining_messages = messages[1:] %}\n{%- else %}\n{%- set remaining_messages = messages %}\n{%... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "tiiuae/Falcon3-7B-Base", "datasets": null, "eval_results": null, "language": ["en", "fr", "es", "pt"], "library_name": "transformers", "license": "other", "license_name": "falcon-llm-license", "license_link": "https://falconllm.tii.ae/falcon-terms-and-conditions.html", "metrics": null, "model_name": nul... | <div align="center">
<img src="https://huggingface.co/datasets/tiiuae/documentation-images/resolve/main/general/falco3-logo.png" alt="drawing" width="500"/>
</div>
# Falcon3-7B-Instruct
**Falcon3** family of Open Foundation Models is a set of pretrained and instruct LLMs ranging from 1B to 10B.
This repository c... | null | [
"other",
"falcon-llm-license",
"https://falconllm.tii.ae/falcon-terms-and-conditions.html"
] | null | [
"en",
"fr",
"es",
"pt"
] | 7,455,550,464 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65981809599c0f57ac5b63d6 | 1eb05c439fdb7355 | 2af3d1c22c3a3aad | 52,000 | BPE | 51,739 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 559 | philomath-1209/programming-language-identification | philomath-1209 | {
"models": [
{
"_id": "621ffdc136468d709f17bd02",
"id": "huggingface/CodeBERTa-small-v1"
}
],
"relation": "quantized"
} | 5,098 | 383,286 | False | 2024-01-05T14:54:01Z | 2024-02-02T13:45:35Z | transformers | 11 | 0 | null | text-classification | {"parameters": {"F32": 83470874}, "total": 83470874} | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"model.safetensors",
"onnx/config.json",
"onnx/merges.txt",
"onnx/model.onnx",
"onnx/special_tokens_map.json",
"onnx/tokenizer.json",
"onnx/tokenizer_config.json",
"onnx/vocab.json",
"special_tokens_map.json",
"tokenizer.json",
... | 9090d38e7333a2c6ff00f154ab981a549842c20f | [
"transformers",
"onnx",
"safetensors",
"roberta",
"text-classification",
"code",
"programming-language",
"code-classification",
"en",
"dataset:cakiki/rosetta-code",
"base_model:huggingface/CodeBERTa-small-v1",
"base_model:quantized:huggingface/CodeBERTa-small-v1",
"license:wtfpl",
"text-em... | 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": "huggingface/CodeBERTa-small-v1", "datasets": ["cakiki/rosetta-code"], "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "wtfpl", "license_name": null, "license_link": null, "metrics": ["accuracy"], "model_name": null, "pipeline_tag": "text-classification", "tags": ["co... | This Model is a fine-tuned version of *huggingface/CodeBERTa-small-v1* on *cakiki/rosetta-code* Dataset for 26 Programming Languages as mentioned below.
## Training Details:
Model is trained for 25 epochs on Azure for nearly 26000 Datapoints for above Mentioned 26 Programming Languages<br> extracted from Dataset having... | null | [
"wtfpl"
] | [
"cakiki/rosetta-code"
] | [
"en"
] | 83,470,874 | null | [
"accuracy"
] | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
646a63f313396ee0a567218e | 8d41a1c0df4c43e0 | 8507af116e525098 | 57,531 | Unigram | null | true | true | true | true | 14 | Sequence | Metaspace | Metaspace | [
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 560 | ahmed-masry/unichart-opencqa-960 | ahmed-masry | null | 8 | 352,403 | False | 2023-05-21T18:33:23Z | 2023-05-21T18:38:07Z | transformers | 0 | 0 | null | image-text-to-text | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"preprocessor_config.json",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 885e7cfc0c31781788accb6338a21cfa66e92b6e | [
"transformers",
"pytorch",
"vision-encoder-decoder",
"image-text-to-text",
"license:gpl-3.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["VisionEncoderDecoderModel"], "model_type": "vision-encoder-decoder", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": {"__type": "AddedToken", "content": "<mask>", "lstrip": true, "normalized": true, "rstrip": false, "single_word": false}, "pad_token": ... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "gpl-3.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | null | null | [
"gpl-3.0"
] | null | null | null | null | null | [
"AutoModelForImageTextToText",
"vision-encoder-decoder",
"VisionEncoderDecoderModel"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
687fded65108e2e67426e444 | 7428ef9ae5ef868f | 67da9c236fa81925 | 151,669 | BPE | 151,387 | true | true | true | true | 26 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 47 | lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-6bit | lmstudio-community | {
"models": [
{
"_id": "687fa5b678e85b9b93b7bac2",
"id": "Qwen/Qwen3-Coder-480B-A35B-Instruct"
}
],
"relation": "quantized"
} | 5,830 | 374,763 | False | 2025-07-22T18:56:22Z | 2025-07-23T02:08:14Z | transformers | 5 | 0 | null | text-generation | {"parameters": {"BF16": 15005599232, "U32": 90028892160}, "total": 480154875392} | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.jinja",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00093.safetensors",
"model-00002-of-00093.safetensors",
"model-00003-of-00093.safetensors",
"model-00004-of-00093.safetensors",
"model-00005-of-0009... | 014b3b4c71449c19828fa71114dcdeb8a6f1b4ec | [
"transformers",
"safetensors",
"qwen3_moe",
"text-generation",
"mlx",
"conversational",
"base_model:Qwen/Qwen3-Coder-480B-A35B-Instruct",
"base_model:quantized:Qwen/Qwen3-Coder-480B-A35B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"6-bit",
"region:us"
] | null | {"architectures": ["Qwen3MoeForCausalLM"], "model_type": "qwen3_moe", "quantization_config": {"bits": 6}, "tokenizer_config": {"bos_token": null, "eos_token": "<|im_end|>", "pad_token": "<|endoftext|>", "unk_token": null, "chat_template": "{% macro render_item_list(item_list, tag_name='required') %}\n {%- if item_li... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "Qwen/Qwen3-Coder-480B-A35B-Instruct", "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct/blob/main/LICENSE", "metrics": null, "model_name": nu... | null | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct/blob/main/LICENSE"
] | null | null | 480,154,875,392 | null | null | [
"qwen3_moe",
"AutoModelForCausalLM",
"Qwen3MoeForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
64826b4147a05b720461df04 | 2012b52fa41ec860 | db117e9883c4d0ab | 50,257 | BPE | 50,000 | false | true | true | true | 1 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 113 | leondz/artgpt2tox | leondz | null | 8,883 | 385,975 | False | 2023-06-08T23:58:57Z | 2023-08-01T18:31:08Z | transformers | 4 | 0 | null | text-generation | {"parameters": {"F32": 124439808}, "total": 124439808} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | a880359fe389ed36d717f4f36f5a36d80925ed35 | [
"transformers",
"pytorch",
"safetensors",
"gpt2",
"text-generation",
"en",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"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": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | null | [
"apache-2.0"
] | null | [
"en"
] | 124,439,808 | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] | |
64b6e86bf94a3537bb2b37c3 | 6949732424a8d297 | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 42 | TheBloke/Llama-2-13B-fp16 | TheBloke | null | 1,063 | 357,122 | False | 2023-07-18T19:30:51Z | 2023-07-20T09:47:08Z | transformers | 63 | 0 | null | text-generation | null | [
".gitattributes",
"LICENSE",
"Notice",
"README.md",
"USE_POLICY.md",
"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... | b2e65e8ad4bb35e5abaee0170ebd5fc2134a50bb | [
"transformers",
"pytorch",
"llama",
"text-generation",
"facebook",
"meta",
"llama-2",
"en",
"text-generation-inference",
"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": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["facebook", "meta", "pytorch", "llama", "llama-2"], "inference": false} | <!-- header start -->
<div style="width: 100%;">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<div style="display: flex; flex-direction: column; a... | null | null | null | [
"en"
] | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
682b8c278503c5bbf012e9a9 | 6d7586b992f01a4f | 56a6f8854c56c4fd | 100,352 | BPE | 100,000 | false | true | true | true | 96 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 561 | ibm-granite/granite-docling-258M | ibm-granite | null | 68,982 | 1,071,300 | False | 2025-05-19T19:53:11Z | 2025-09-23T08:52:16Z | transformers | 1,143 | 7 | null | image-text-to-text | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"assets/granite_docling_split_page.png",
"assets/new_arxiv.png",
"chat_template.jinja",
"config.json",
"generation_config.json",
"granite_docling.png",
"merges.txt",
"model.safetensors",
"preprocessor_config.json",
"processor_config.json",
... | 982fe3b40f2fa73c365bdb1bcacf6c81b7184bfe | [
"transformers",
"safetensors",
"idefics3",
"image-text-to-text",
"text-generation",
"documents",
"code",
"formula",
"chart",
"ocr",
"layout",
"table",
"document-parse",
"docling",
"granite",
"extraction",
"math",
"conversational",
"en",
"dataset:ds4sd/SynthCodeNet",
"dataset:... | null | {"architectures": ["Idefics3ForConditionalGeneration"], "model_type": "idefics3", "tokenizer_config": {"bos_token": "<|start_of_role|>", "eos_token": "<|end_of_text|>", "pad_token": "<|end_of_text|>", "unk_token": "<|unk|>"}, "chat_template_jinja": "{%- for message in messages -%}\n{{- '<|start_of_role|>' + message['ro... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": null, "datasets": ["ds4sd/SynthCodeNet", "ds4sd/SynthFormulaNet", "ds4sd/SynthChartNet", "HuggingFaceM4/DoclingMatix"], "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipe... | # granite-docling-258m
<div style="display: flex; align-items: center;">
<img src="https://huggingface.co/ibm-granite/granite-docling-258M/resolve/main/granite_docling.png" alt="Granite Docling Logo" style="width: 200px; height: auto; margin-right: 20px;">
<div>
<p>Granite Docling is a multimodal Image-... | null | [
"apache-2.0"
] | [
"ds4sd/SynthCodeNet",
"ds4sd/SynthFormulaNet",
"ds4sd/SynthChartNet",
"HuggingFaceM4/DoclingMatix"
] | [
"en"
] | null | null | null | [
"AutoModelForImageTextToText",
"Idefics3ForConditionalGeneration",
"idefics3"
] | [
"image-text-to-text",
"text-generation"
] | [
"text",
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
65d6cfe8c4a1e6b86773bc81 | c6e25adacf2964fd | 3a73b36e2f62ba5a | 40,960 | BPE | 66,500 | true | false | true | true | 5 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 562 | yanolja/YanoljaNEXT-EEVE-Instruct-10.8B | yanolja | {
"models": [
{
"_id": "65c386faa4c0603588024d4d",
"id": "yanolja/YanoljaNEXT-EEVE-10.8B"
}
],
"relation": "finetune"
} | 3,508 | 378,170 | False | 2024-02-22T04:39:04Z | 2025-08-29T03:52:24Z | transformers | 165 | 1 | [{"name": "yanolja/EEVE-Korean-Instruct-10.8B-v1.0", "results": []}] | text-generation | {"parameters": {"BF16": 10804924416}, "total": 10804924416} | [
".gitattributes",
"README.md",
"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_tokens_map.json",
"tokenizer.... | b0c26460bf14cd825a3c4df2363cdfd63c47fb96 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"conversational",
"arxiv:2402.14714",
"arxiv:2310.01377",
"arxiv:2306.02707",
"base_model:yanolja/YanoljaNEXT-EEVE-10.8B",
"base_model:finetune:yanolja/YanoljaNEXT-EEVE-10.8B",
"license:apache-2.0",
"text-ge... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = 'Yo... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "yanolja/EEVE-Korean-10.8B-v1.0", "datasets": null, "eval_results": [], "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": "yanolja/EEVE-Korean-Instruct-10.8B-v1.0", "pipeline_tag": null, "tags": ["generated_from_tra... | null | null | [
"apache-2.0"
] | null | null | 10,804,924,416 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
64e4302ac21dd0c6660a94af | 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/Platypus2-7B | garage-bAInd | null | 1,038 | 355,971 | False | 2023-08-22T03:48:58Z | 2024-01-03T21:03:23Z | transformers | 9 | 0 | null | text-generation | {"parameters": {"F32": 2048, "F16": 6738415616}, "total": 6738417664} | [
".gitattributes",
"Best_Platty_small.jpeg",
"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.ind... | 6530478f705b1a4e0d81b844148ddc237edfe1dd | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"en",
"dataset:garage-bAInd/Open-Platypus",
"arxiv:2308.07317",
"arxiv:2307.09288",
"license:cc-by-nc-sa-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"], "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": null} | # Platypus2-7B
**NOTE**: There is some issue with LLaMa-2 7B and fine-tuning only works if you use `fp16=False` and `bf16=True` in the HF trainer. Gathering more intel on this but if you have any thoughts about this issue or performance, please let us know!
Platypus-7B is an instruction fine-tuned model based on the ... | null | [
"cc-by-nc-sa-4.0"
] | [
"garage-bAInd/Open-Platypus"
] | [
"en"
] | 6,738,417,664 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66e6d0a6126f9577f878c2e9 | 848b60b6cd304b65 | ffc911e785abe60e | 151,665 | BPE | 151,387 | true | true | true | true | 22 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 15 | Qwen/Qwen2.5-72B | Qwen | null | 58,069 | 508,661 | False | 2024-09-15T12:18:46Z | 2024-09-25T12:28:06Z | transformers | 93 | 1 | null | text-generation | {"parameters": {"BF16": 72706203648}, "total": 72706203648} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00037.safetensors",
"model-00002-of-00037.safetensors",
"model-00003-of-00037.safetensors",
"model-00004-of-00037.safetensors",
"model-00005-of-00037.safetensors",
"model-00006-of-0... | efba10c8e54e91e0d9570ab5f7b51a958474d4cb | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"en",
"arxiv:2407.10671",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are a helpful assistant.' ... | {
"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": "qwen", "license_link": "https://huggingface.co/Qwen/Qwen2.5-72B/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": null} | # Qwen2.5-72B
## Introduction
Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:
- Significantly **more knowledge** ... | null | [
"other",
"qwen",
"https://huggingface.co/Qwen/Qwen2.5-72B/blob/main/LICENSE"
] | null | [
"en"
] | 72,706,203,648 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
687fdca8afbd81d65416b47c | 7428ef9ae5ef868f | 67da9c236fa81925 | 151,669 | BPE | 151,387 | true | true | true | true | 26 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 47 | lmstudio-community/Qwen3-Coder-480B-A35B-Instruct-MLX-4bit | lmstudio-community | {
"models": [
{
"_id": "687fa5b678e85b9b93b7bac2",
"id": "Qwen/Qwen3-Coder-480B-A35B-Instruct"
}
],
"relation": "quantized"
} | 4,780 | 369,725 | False | 2025-07-22T18:47:04Z | 2025-07-23T02:07:41Z | transformers | 3 | 0 | null | text-generation | {"parameters": {"BF16": 15005599232, "U32": 60019261440}, "total": 480154875392} | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.jinja",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00062.safetensors",
"model-00002-of-00062.safetensors",
"model-00003-of-00062.safetensors",
"model-00004-of-00062.safetensors",
"model-00005-of-0006... | a13176858e9594b24a5ab04298d6d0939e51ab66 | [
"transformers",
"safetensors",
"qwen3_moe",
"text-generation",
"mlx",
"conversational",
"base_model:Qwen/Qwen3-Coder-480B-A35B-Instruct",
"base_model:quantized:Qwen/Qwen3-Coder-480B-A35B-Instruct",
"license:apache-2.0",
"endpoints_compatible",
"4-bit",
"region:us"
] | null | {"architectures": ["Qwen3MoeForCausalLM"], "model_type": "qwen3_moe", "quantization_config": {"bits": 4}, "tokenizer_config": {"bos_token": null, "eos_token": "<|im_end|>", "pad_token": "<|endoftext|>", "unk_token": null, "chat_template": "{% macro render_item_list(item_list, tag_name='required') %}\n {%- if item_li... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "Qwen/Qwen3-Coder-480B-A35B-Instruct", "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct/blob/main/LICENSE", "metrics": null, "model_name": nu... | null | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct/blob/main/LICENSE"
] | null | null | 480,154,875,392 | null | null | [
"qwen3_moe",
"AutoModelForCausalLM",
"Qwen3MoeForCausalLM"
] | [
"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.