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66e9866925a2de6873aa5a9b | Qwen/Qwen2.5-Coder-7B-Instruct | Qwen | {
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{
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"id": "Qwen/Qwen2.5-Coder-7B"
}
],
"relation": "finetune"
} | 2,581,921 | 10,028,052 | False | 2024-09-17T13:38:49Z | 2025-01-12T02:03:41Z | transformers | 672 | 3 | null | text-generation | {"parameters": {"BF16": 7615616512}, "total": 7615616512} | [
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"... | c03e6d358207e414f1eca0bb1891e29f1db0e242 | [
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"license:a... | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Aliba... | {
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} | {"base_model": ["Qwen/Qwen2.5-Coder-7B"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_t... | # Qwen2.5-Coder-7B-Instruct
<a href="https://chat.qwenlm.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
## Introduction
Qwen2.5-Coder is the latest series of C... | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct/blob/main/LICENSE"
] | null | [
"en"
] | 7,615,616,512 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6759799ed862e62a825b5413 | answerdotai/ModernBERT-base | answerdotai | null | 7,582,747 | 35,649,497 | False | 2024-12-11T11:38:06Z | 2025-01-15T20:11:48Z | transformers | 1,012 | 3 | null | fill-mask | {"parameters": {"F32": 149655232}, "total": 149655232} | [
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"onnx/model_q4f16.onnx",
"onnx/model_quantized.onnx",
"onnx/model_uint8.onnx",
"pytorch_model.bin",
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"long-context",
"en",
"arxiv:2412.13663",
"license:apache-2.0",
"deploy:azure",
"region:us"
] | null | {"architectures": ["ModernBertForMaskedLM"], "model_type": "modernbert", "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",
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} | {"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": "fill-mask", "tags": ["fill-mask", "masked-lm", "long-context", "modernbert"], "infer... | # ModernBERT
## Table of Contents
1. [Model Summary](#model-summary)
2. [Usage](#Usage)
3. [Evaluation](#Evaluation)
4. [Limitations](#limitations)
5. [Training](#training)
6. [License](#license)
7. [Citation](#citation)
## Model Summary
ModernBERT is a modernized bidirectional encoder-only Transformer model (BERT-s... | null | [
"apache-2.0"
] | null | [
"en"
] | 149,655,232 | null | null | [
"ModernBertForMaskedLM",
"modernbert",
"AutoModelForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
678e13bdda686d5964869153 | deepseek-ai/DeepSeek-R1-Distill-Llama-70B | deepseek-ai | null | 119,886 | 4,305,502 | False | 2025-01-20T09:13:33Z | 2025-02-24T03:31:15Z | transformers | 757 | 3 | null | text-generation | null | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"figures/benchmark.jpg",
"generation_config.json",
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"model-00003-of-000017.safetensors",
"model-00004-of-000017.safetensors",
"model-00005-of-000017.safetensors",
"... | b1c0b44b4369b597ad119a196caf79a9c40e141e | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:2501.12948",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "<\uff5cend\u258... | {
"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": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # DeepSeek-R1
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V3" />
</div>
<hr>
<div align="center... | null | [
"mit"
] | null | null | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6795ff8f7534713f94918fc5 | Qwen/Qwen2.5-VL-3B-Instruct | Qwen | null | 6,652,979 | 72,496,091 | False | 2025-01-26T09:25:35Z | 2025-04-06T16:23:42Z | transformers | 629 | 3 | null | image-text-to-text | {"parameters": {"BF16": 3754622976}, "total": 3754622976} | [
".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"... | 66285546d2b821cf421d4f5eb2576359d3770cd3 | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"multimodal",
"conversational",
"en",
"arxiv:2309.00071",
"arxiv:2409.12191",
"arxiv:2308.12966",
"eval-results",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen2_5_VLForConditionalGeneration"], "model_type": "qwen2_5_vl", "processor_config": {"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a h... | {
"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": null, "license_name": "qwen-research", "license_link": "https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-t... | # Qwen2.5-VL-3B-Instruct
<a href="https://chat.qwenlm.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
## Introduction
In the past five months since Qwen2-VL’s r... | null | [
"qwen-research",
"https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct/blob/main/LICENSE"
] | null | [
"en"
] | 3,754,622,976 | null | null | [
"qwen2_5_vl",
"AutoModelForImageTextToText",
"Qwen2_5_VLForConditionalGeneration"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
67ced65c9b9a3df71008da90 | google/gemma-3-1b-it | google | {
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{
"_id": "67b79cc230e38c400f496b93",
"id": "google/gemma-3-1b-pt"
}
],
"relation": "finetune"
} | 1,573,304 | 34,979,931 | manual | 2025-03-10T12:09:00Z | 2025-04-04T13:12:40Z | transformers | 894 | 3 | null | text-generation | null | [
".gitattributes",
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] | dcc83ea841ab6100d6b47a070329e1ba4cf78752 | [
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"arxiv:1907.10641",
"arxiv:1903.00161",
"arxiv:2009.03300",
"arxiv:2304.06364",
"ar... | null | {"architectures": ["Gemma3ForCausalLM"], "model_type": "gemma3_text", "tokenizer_config": {"bos_token": "<bos>", "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 {%... | {
"auto_model": "AutoModelForCausalLM",
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} | {"base_model": "google/gemma-3-1b-pt", "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": null, "extra_gated_heading": "Access Gemma on H... | null | null | [
"gemma"
] | null | null | null | null | null | [
"gemma3_text",
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"text"
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67e125b6c185423c1e404364 | deepseek-ai/DeepSeek-V3-0324 | deepseek-ai | null | 377,423 | 4,057,700 | False | 2025-03-24T09:28:22Z | 2025-03-27T04:01:53Z | transformers | 3,093 | 3 | null | text-generation | {"parameters": {"BF16": 3918786560, "F8_E4M3": 680571043840, "F32": 41555600}, "total": 684531386000} | [
".gitattributes",
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"model-00003-of-000163.safetensors",
"model-00004-of-000163.safetensors",
"model-00005-of-000163.safetens... | e9b33add76883f293d6bf61f6bd89b497e80e335 | [
"transformers",
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"deepseek_v3",
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"custom_code",
"arxiv:2412.19437",
"license:mit",
"eval-results",
"text-generation-inference",
"endpoints_compatible",
"fp8",
"region:us"
] | null | {"architectures": ["DeepseekV3ForCausalLM"], "auto_map": {"AutoConfig": "configuration_deepseek.DeepseekV3Config", "AutoModel": "modeling_deepseek.DeepseekV3Model", "AutoModelForCausalLM": "modeling_deepseek.DeepseekV3ForCausalLM"}, "model_type": "deepseek_v3", "quantization_config": {"quant_method": "fp8"}, "tokenizer... | {
"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": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # DeepSeek-V3-0324
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V3" />
</div>
<hr>
<div align="c... | null | [
"mit"
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680daa1b62e834e6fd9fdbdf | Qwen/Qwen3-32B | Qwen | null | 3,778,408 | 24,845,577 | False | 2025-04-27T03:52:59Z | 2025-07-26T03:45:22Z | transformers | 673 | 3 | null | text-generation | null | [
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"apache-2.0",
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681feb48cce07fc7766a6921 | fancyfeast/llama-joycaption-beta-one-hf-llava | fancyfeast | {
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}
],
"relation": "finetune"
} | 60,184 | 1,031,591 | False | 2025-05-11T00:11:52Z | 2025-05-16T04:12:26Z | transformers | 330 | 3 | null | image-text-to-text | {"parameters": {"BF16": 8479990848}, "total": 8479990848} | [
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] | null | {"architectures": ["LlavaForConditionalGeneration"], "model_type": "llava", "processor_config": {"chat_template": "{%- if not date_string is defined %}\n {%- set date_string = \"26 July 2024\" %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": ["meta-llama/Llama-3.1-8B-Instruct", "google/siglip2-so400m-patch14-384"], "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": "image-text-to-text", "tag... | # Model Card for Llama JoyCaption Beta One
[Github](https://github.com/fpgaminer/joycaption)
JoyCaption is an image captioning Visual Language Model (VLM) built from the ground up as a free, open, and uncensored model for the community to use in training Diffusion models.
Key Features:
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6836db82a3626cb7b5343be8 | deepseek-ai/DeepSeek-R1-0528 | deepseek-ai | null | 814,464 | 5,949,060 | False | 2025-05-28T09:46:42Z | 2025-05-29T11:37:44Z | transformers | 2,410 | 3 | null | text-generation | {"parameters": {"BF16": 3918786560, "F8_E4M3": 680571043840, "F32": 41555600}, "total": 684531386000} | [
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"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # DeepSeek-R1-0528
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V3" />
</div>
<hr>
<div... | null | [
"mit"
] | null | null | 684,531,386,000 | null | null | [
"AutoModelForCausalLM",
"deepseek_v3",
"DeepseekV3ForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
68384003444a0e00ec791df0 | deepseek-ai/DeepSeek-R1-0528-Qwen3-8B | deepseek-ai | null | 149,988 | 2,459,924 | False | 2025-05-29T11:07:47Z | 2025-05-29T13:13:34Z | transformers | 1,042 | 3 | null | text-generation | {"parameters": {"BF16": 8190735360}, "total": 8190735360} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"figures/benchmark.png",
"model-00001-of-000002.safetensors",
"model-00002-of-000002.safetensors",
"model.safetensors.index.json",
"tokenizer.json",
"tokenizer_config.json"
] | 6e8885a6ff5c1dc5201574c8fd700323f23c25fa | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"conversational",
"arxiv:2501.12948",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["Qwen3ForCausalLM"], "model_type": "qwen3", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "<\uff5cend\u258... | {
"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": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # DeepSeek-R1-0528
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V3" />
</div>
<hr>
<div... | null | [
"mit"
] | null | null | 8,190,735,360 | null | null | [
"AutoModelForCausalLM",
"Qwen3ForCausalLM",
"qwen3"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
68386185bdc46832e6e88e6c | Qwen/Qwen3-Reranker-0.6B | Qwen | {
"models": [
{
"_id": "680f0da2f99a20ddfc9a9f26",
"id": "Qwen/Qwen3-0.6B-Base"
}
],
"relation": "finetune"
} | 840,595 | 5,752,599 | False | 2025-05-29T13:30:45Z | 2025-06-09T05:59:29Z | transformers | 326 | 3 | null | text-ranking | {"parameters": {"BF16": 595776512}, "total": 595776512} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 6e9e69830b95c52b5fd889b7690dda3329508de3 | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"text-ranking",
"arxiv:2506.05176",
"base_model:Qwen/Qwen3-0.6B-Base",
"base_model:finetune:Qwen/Qwen3-0.6B-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/Qwen3-0.6B-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-0.6B
<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 upo... | null | [
"apache-2.0"
] | null | null | 595,776,512 | null | null | [
"AutoModelForCausalLM",
"Qwen3ForCausalLM",
"qwen3"
] | [
"text-ranking",
"text-generation"
] | [
"text"
] | [
"text"
] | [
"logits",
"text"
] |
683f07454f6e7115e88614de | Qwen/Qwen3-Embedding-4B | Qwen | {
"models": [
{
"_id": "680f0c5b4e1c1da6491f3b9d",
"id": "Qwen/Qwen3-4B-Base"
}
],
"relation": "finetune"
} | 1,534,702 | 5,150,411 | False | 2025-06-03T14:31:33Z | 2025-06-20T09:30:56Z | sentence-transformers | 240 | 3 | null | feature-extraction | null | [
".gitattributes",
"1_Pooling/config.json",
"README.md",
"config.json",
"config_sentence_transformers.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"modules.json",
"tokenizer.json",
"token... | 5cf2132abc99cad020ac570b19d031efec650f2b | [
"sentence-transformers",
"safetensors",
"qwen3",
"text-generation",
"transformers",
"sentence-similarity",
"feature-extraction",
"text-embeddings-inference",
"arxiv:2506.05176",
"base_model:Qwen/Qwen3-4B-Base",
"base_model:finetune:Qwen/Qwen3-4B-Base",
"license:apache-2.0",
"endpoints_compat... | 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 {%- else %}\n {{- 'You are a helpful assistant.' ... | {
"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": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["transformers", "sentence-transformers", "sentence-similarity", ... | # Qwen3-Embedding-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 | null | null | null | [
"AutoModelForCausalLM",
"Qwen3ForCausalLM",
"qwen3"
] | [
"sentence-similarity",
"feature-extraction",
"text-generation"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"text",
"embeddings"
] |
68538643e3278bb954f2f007 | huihui-ai/Huihui-Qwen3-4B-abliterated-v2 | huihui-ai | {
"models": [
{
"_id": "680da769038897aa905586a7",
"id": "Qwen/Qwen3-4B"
}
],
"relation": "finetune"
} | 2,250 | 8,705 | False | 2025-06-19T03:38:43Z | 2025-06-19T04:03:44Z | transformers | 35 | 3 | null | text-generation | {"parameters": {"BF16": 4022468096}, "total": 4022468096} | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.jinja",
"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_co... | a494c65b10bf8fdc56c0ff11d36987c1d018f162 | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"chat",
"abliterated",
"uncensored",
"conversational",
"base_model:Qwen/Qwen3-4B",
"base_model:finetune:Qwen/Qwen3-4B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["Qwen3ForCausalLM"], "model_type": "qwen3", "tokenizer_config": {"bos_token": null, "eos_token": "<|im_end|>", "pad_token": "<|endoftext|>", "unk_token": null}, "chat_template_jinja": "{%- if tools %}\r\n {{- '<|im_start|>system\\n' }}\r\n {%- if messages[0].role == 'system' %}\r\n {{- m... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["Qwen/Qwen3-4B"], "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen3-4B/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "ta... | # huihui-ai/Huihui-Qwen3-4B-abliterated-v2
This is an uncensored version of [Qwen/Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
This is a crude, proof-of-concept... | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen3-4B/blob/main/LICENSE"
] | null | null | 4,022,468,096 | null | null | [
"AutoModelForCausalLM",
"Qwen3ForCausalLM",
"qwen3"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
687fa5b678e85b9b93b7bac2 | Qwen/Qwen3-Coder-480B-A35B-Instruct | Qwen | null | 92,041 | 856,480 | False | 2025-07-22T14:52:38Z | 2025-08-21T10:18:07Z | transformers | 1,316 | 3 | null | text-generation | {"parameters": {"BF16": 480154875392}, "total": 480154875392} | [
".gitattributes",
"LICENSE",
"README.md",
"chat_template.jinja",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00241.safetensors",
"model-00002-of-00241.safetensors",
"model-00003-of-00241.safetensors",
"model-00004-of-00241.safetensors",
"model-00005-of-00241.safetens... | 9d90cf8fca1bf7b7acca42d3fc9ae694a2194069 | [
"transformers",
"safetensors",
"qwen3_moe",
"text-generation",
"conversational",
"arxiv:2505.09388",
"license:apache-2.0",
"eval-results",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["Qwen3MoeForCausalLM"], "model_type": "qwen3_moe", "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 not in handled_keys %}\n {%- if json_di... | {
"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
<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-Coder*... | 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"
] |
68813cdca1846ad54e4d5e88 | jhu-clsp/mmBERT-base | jhu-clsp | null | 314,290 | 1,463,622 | False | 2025-07-23T19:49:48Z | 2025-10-07T14:08:42Z | transformers | 198 | 3 | null | fill-mask | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | c5955035435e2bf121cde7f3c8863ef52ff35d82 | [
"transformers",
"pytorch",
"modernbert",
"fill-mask",
"aai",
"aak",
"aau",
"aaz",
"aba",
"abi",
"abk",
"abn",
"abq",
"abs",
"abt",
"abx",
"aby",
"abz",
"aca",
"acd",
"ace",
"acf",
"ach",
"acm",
"acn",
"acr",
"acu",
"ada",
"ade",
"adh",
"adi",
"adj",
"a... | null | {"architectures": ["ModernBertForMaskedLM"], "model_type": "modernbert", "tokenizer_config": {"bos_token": "<bos>", "cls_token": "<bos>", "eos_token": "<eos>", "sep_token": "<eos>", "pad_token": "<pad>", "mask_token": "<mask>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["jhu-clsp/mmbert-decay", "jhu-clsp/mmbert-midtraining", "jhu-clsp/mmbert-pretrain-p1-fineweb2-langs", "jhu-clsp/mmbert-pretrain-p2-fineweb2-remaining", "jhu-clsp/mmbert-pretrain-p3-others"], "eval_results": null, "language": ["aai", "aak", "aau", "aaz", "aba", "abi", "abk", "abn", "abq... | # mmBERT: A Modern Multilingual Encoder
[](https://opensource.org/licenses/MIT)
[](https://arxiv.org/abs/2509.06888)
[](https://... | null | [
"mit"
] | [
"jhu-clsp/mmbert-decay",
"jhu-clsp/mmbert-midtraining",
"jhu-clsp/mmbert-pretrain-p1-fineweb2-langs",
"jhu-clsp/mmbert-pretrain-p2-fineweb2-remaining",
"jhu-clsp/mmbert-pretrain-p3-others"
] | [
"aai",
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"adh",
"adi",
"adj",
"adl",
"ady",
"adz",
"aeb",
"aer",
"aeu",
"aey",
"... | null | null | null | [
"ModernBertForMaskedLM",
"modernbert",
"AutoModelForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
68a677062fc955d300dc18f9 | nvidia/NVIDIA-Nemotron-Nano-12B-v2 | nvidia | {
"models": [
{
"_id": "689d3c56e7b7e599336b0fca",
"id": "nvidia/NVIDIA-Nemotron-Nano-12B-v2-Base"
}
],
"relation": "finetune"
} | 26,930 | 380,795 | False | 2025-08-21T01:31:50Z | 2025-11-25T00:50:59Z | transformers | 160 | 3 | null | text-generation | null | [
".gitattributes",
"README.md",
"acc-vs-budget.png",
"bias.md",
"config.json",
"configuration_nemotron_h.py",
"explainability.md",
"generation_config.json",
"model-00001-of-00006.safetensors",
"model-00002-of-00006.safetensors",
"model-00003-of-00006.safetensors",
"model-00004-of-00006.safetens... | f428df0ec725fed457b89cfca54dc26500fb88c1 | [
"transformers",
"safetensors",
"nvidia",
"pytorch",
"text-generation",
"conversational",
"en",
"es",
"fr",
"de",
"it",
"ja",
"dataset:nvidia/Nemotron-Post-Training-Dataset-v1",
"dataset:nvidia/Nemotron-Post-Training-Dataset-v2",
"dataset:nvidia/Nemotron-Pretraining-Dataset-sample",
"da... | null | {"tokenizer_config": {"bos_token": "<s>", "chat_template": "{%- set ns = namespace(enable_thinking=true) %}{%- for message in messages -%}{%- set content = message['content'] -%}{%- if message['role'] == 'user' or message['role'] == 'system' -%}{%- if '/think' in content -%}{%- set ns.enable_thinking = true -%}{%- elif... | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": null,
"processor": null
} | {"base_model": ["nvidia/NVIDIA-Nemotron-Nano-12B-v2-Base"], "datasets": ["nvidia/Nemotron-Post-Training-Dataset-v1", "nvidia/Nemotron-Post-Training-Dataset-v2", "nvidia/Nemotron-Pretraining-Dataset-sample", "nvidia/Nemotron-CC-v2", "nvidia/Nemotron-CC-Math-v1", "nvidia/Nemotron-Pretraining-SFT-v1"], "eval_results": nul... | # NVIDIA-Nemotron-Nano-12B-v2
**Model Developer:** NVIDIA Corporation
**Model Dates:**
June 2025 \- August 2025
**Data Freshness:**
September 2024
The pretraining data has a cutoff date of September 2024.
## Model Overview
NVIDIA-Nemotron-Nano-12B-v2 is a large language model (LLM) trained from scratch by NVIDI... | null | [
"other",
"nvidia-open-model-license",
"https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/"
] | [
"nvidia/Nemotron-Post-Training-Dataset-v1",
"nvidia/Nemotron-Post-Training-Dataset-v2",
"nvidia/Nemotron-Pretraining-Dataset-sample",
"nvidia/Nemotron-CC-v2",
"nvidia/Nemotron-CC-Math-v1",
"nvidia/Nemotron-Pretraining-SFT-v1"
] | [
"en",
"es",
"fr",
"de",
"it",
"ja"
] | null | null | null | [
"AutoModel"
] | [
null,
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
68c04a8865953b21d7f88ec6 | Qwen/Qwen3-Next-80B-A3B-Instruct | Qwen | null | 622,285 | 14,663,911 | False | 2025-09-09T15:40:56Z | 2025-09-17T06:57:40Z | transformers | 953 | 3 | null | text-generation | {"parameters": {"BF16": 81324862720}, "total": 81324862720} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00041.safetensors",
"model-00002-of-00041.safetensors",
"model-00003-of-00041.safetensors",
"model-00004-of-00041.safetensors",
"model-00005-of-00041.safetensors",
"model-00006-of-0... | 9c7f2fbe84465e40164a94cc16cd30b6999b0cc7 | [
"transformers",
"safetensors",
"qwen3_next",
"text-generation",
"conversational",
"arxiv:2309.00071",
"arxiv:2404.06654",
"arxiv:2505.09388",
"arxiv:2501.15383",
"license:apache-2.0",
"eval-results",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen3NextForCausalLM"], "model_type": "qwen3_next", "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 m... | {
"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-Next-80B-A3B-Instruct/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-generation... | # Qwen3-Next-80B-A3B-Instruct
<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>
Over the past few months, we have observed increasingly ... | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Instruct/blob/main/LICENSE"
] | null | null | 81,324,862,720 | null | null | [
"qwen3_next",
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] | [
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] | [
"text"
] | [
"text"
] | [
"text"
] |
68ca2015b5b96d636046efaa | opendatalab/MinerU2.5-2509-1.2B | opendatalab | null | 42,075 | 3,504,911 | False | 2025-09-17T02:42:29Z | 2025-09-29T06:58:38Z | transformers | 343 | 3 | null | image-text-to-text | {"parameters": {"BF16": 1156026624}, "total": 1156026624} | [
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"README.md",
"added_tokens.json",
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"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"video_preprocessor_config.json",
"vocab.j... | 879e58bdd9566632b27a8a81f0e2961873311f67 | [
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"license:agpl-3.0",
"eval-results",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen2VLForConditionalGeneration"], "model_type": "qwen2_vl", "processor_config": {"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpfu... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["zh", "en"], "library_name": "transformers", "license": "agpl-3.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": null} | # MinerU2.5
We are releasing MinerU2.5, a 1.2B-parameter visual-language model specialized in OCR and document parsing, enabling more accurate and robust parsing of complex and diverse real-world documents.
The model weights are stable and available for use, primarily intended for internal development and demonstrati... | null | [
"agpl-3.0"
] | null | [
"zh",
"en"
] | 1,156,026,624 | null | null | [
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] | [
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] | [
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"image"
] | [
"text"
] |
68cbbe710b95fb4dc96af0cd | jinaai/jina-reranker-v3 | jinaai | {
"models": [
{
"_id": "680da718233834890aa01f51",
"id": "Qwen/Qwen3-0.6B"
}
],
"relation": "finetune"
} | 152,219 | 481,107 | False | 2025-09-18T08:10:25Z | 2026-03-27T13:54:20Z | transformers | 113 | 3 | null | text-ranking | null | [
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"vocab.json"
] | 10fb694fc21f7a710a563ff1eb977a460f3868e4 | [
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"license:cc-by-nc-4.0",
"region:eu"
] | null | {"architectures": ["JinaForRanking"], "auto_map": {"AutoModel": "modeling.JinaForRanking"}, "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 ... | {
"auto_model": "AutoModel",
"custom_class": "modeling.JinaForRanking",
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": ["Qwen/Qwen3-0.6B"], "datasets": null, "eval_results": null, "language": ["multilingual"], "library_name": "transformers", "license": "cc-by-nc-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-ranking", "tags": ["transformers", "reranker", "qwen... | null | null | [
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] | null | [
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] | null | null | null | [
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] | [
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] | [
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] |
68cc549cade527b0974c2505 | openai/gpt-oss-safeguard-20b | openai | {
"models": [
{
"_id": "68913539bd3d0a833438591d",
"id": "openai/gpt-oss-20b"
}
],
"relation": "finetune"
} | 46,636 | 280,320 | False | 2025-09-18T18:51:08Z | 2026-01-14T18:38:05Z | transformers | 202 | 3 | null | text-generation | null | [
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] | null | {"architectures": ["GptOssForCausalLM"], "model_type": "gpt_oss", "quantization_config": {"quant_method": "mxfp4"}, "processor_config": {"chat_template": "{#-\n In addition to the normal inputs of `messages` and `tools`, this template also accepts the\n following kwargs:\n - \"builtin_tools\": A list, can contain \"... | {
"auto_model": "AutoModelForCausalLM",
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"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["openai/gpt-oss-20b"], "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["vllm"], "base_model_relation": "finetune... | null | null | [
"apache-2.0"
] | null | null | null | null | null | [
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] | [
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68d287197d927c11d861e19b | Qwen/Qwen3Guard-Gen-8B | Qwen | {
"models": [
{
"_id": "680da79d48c19d19cf82ab5e",
"id": "Qwen/Qwen3-8B"
}
],
"relation": "finetune"
} | 41,451 | 124,518 | False | 2025-09-23T11:40:09Z | 2025-11-07T08:11:03Z | transformers | 105 | 3 | null | text-generation | {"parameters": {"BF16": 8190735360}, "total": 8190735360} | [
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"LICENSE",
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"config.json",
"generation_config.json",
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"model.safetensor... | 4505cb1a6f1864f21f8b27f7daf1b9a1aab6edbb | [
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"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen3ForCausalLM"], "model_type": "qwen3", "tokenizer_config": {"bos_token": null, "chat_template": "{%- if messages|length > 0 -%}\n {%- if messages[-1].role == \"user\" -%}\n {{- \"<|im_start|>user\n# Task:\n1) Evaluate whether THE LAST USER's query belongs to safe or unsafe content base... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["Qwen/Qwen3-8B"], "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen3Guard-Gen-8B/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-generat... | # Qwen3Guard-Gen-8B
<p align="center">
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen3Guard/Qwen3Guard_logo.png" width="400"/>
<p>
**Qwen3Guard** is a series of safety moderation models built upon Qwen3 and trained on a dataset of 1.19 million prompts and responses labeled for safety. The series i... | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen3Guard-Gen-8B/blob/main/LICENSE"
] | null | null | 8,190,735,360 | null | null | [
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"Qwen3ForCausalLM",
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] | [
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] | [
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] | [
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] | [
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] |
68da228db2fa3c9dd0f42f7c | Fortytwo-Network/Strand-Rust-Coder-14B-v1 | Fortytwo-Network | {
"models": [
{
"_id": "672b1f9a250205b317ab81e5",
"id": "Qwen/Qwen2.5-Coder-14B-Instruct"
}
],
"relation": "finetune"
} | 1,927 | 4,860 | False | 2025-09-29T06:09:17Z | 2026-01-05T17:19:35Z | transformers | 162 | 3 | null | text-generation | {"parameters": {"BF16": 14770033664}, "total": 14770033664} | [
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"license:apache-2.0",
"text-ge... | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "eos_token": "<|im_end|>", "pad_token": "<|endoftext|>", "unk_token": null}, "chat_template_jinja": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- mess... | {
"auto_model": "AutoModelForCausalLM",
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"pipeline_tag": "text-generation",
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} | {"base_model": ["Qwen/Qwen2.5-Coder-14B-Instruct"], "datasets": ["Fortytwo-Network/Strandset-Rust-v1"], "eval_results": null, "language": null, "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "ta... | null | null | [
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] | [
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] | null | 14,770,033,664 | null | null | [
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] | [
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] | [
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] |
68e5484b5e3667b1f21de5ca | nvidia/llama-embed-nemotron-8b | nvidia | null | 42,218 | 720,064 | False | 2025-10-07T17:05:15Z | 2026-01-12T08:30:38Z | sentence-transformers | 149 | 3 | null | feature-extraction | null | [
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} | {"base_model": null, "datasets": ["nvidia/embed-nemotron-dataset-v1"], "eval_results": null, "language": ["multilingual"], "library_name": "sentence-transformers", "license": "other", "license_name": "customized-nscl-v1", "license_link": "LICENSE", "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["tr... | null | null | [
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] | [
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68e84104f8df89725a4bb787 | Naphula/Goetia-24B-v1 | Naphula | {
"models": [
{
"_id": "688f86e4f8fd62e37f9124b0",
"id": "CrucibleLab/M3.2-24B-Loki-V1.3"
},
{
"_id": "68854ef55c85b9fa91b3f9a0",
"id": "Darkhn/M3.2-24B-Animus-V7.1"
},
{
"_id": "686e0ad844f27e01082e4bcb",
"id": "Delta-Vector/Rei-24B-KTO"
},
{
"_id... | 4 | 129 | False | 2025-10-09T23:11:00Z | 2025-11-13T03:18:18Z | transformers | 7 | 3 | null | text-generation | {"parameters": {"BF16": 23572403200}, "total": 23572403200} | [
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} | {"base_model": ["aixonlab/Eurydice-24b-v3.5", "anthracite-core/Mistral-Small-3.2-24B-Instruct-2506-Text-Only", "CrucibleLab/M3.2-24B-Loki-V1.3", "Darkhn/M3.2-24B-Animus-V7.1", "Delta-Vector/Rei-24B-KTO", "Doctor-Shotgun/MS3.2-24B-Magnum-Diamond", "dphn/Dolphin-Mistral-24B-Venice-Edition", "Naphula/BlackDolphin-24B", "F... | null | null | [
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68ed3dd167cf7e6d326fdde9 | FlareRebellion/WeirdCompound-v1.7-24b | FlareRebellion | null | 205 | 4,705 | False | 2025-10-13T17:58:41Z | 2025-10-13T20:06:42Z | transformers | 41 | 3 | null | text-generation | {"parameters": {"BF16": 23572403200}, "total": 23572403200} | [
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] | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{%- set today = strftime_now(\"%Y-%m-%d\") %}\n{%- set default_system_message = \"You are Mistral Small 3, a Large Language Model (LLM) created by Mistral AI, a French startup headquartered in P... | {
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68f17b223defd29083935693 | nvidia/llama-nemotron-rerank-1b-v2 | nvidia | null | 70,673 | 156,603 | False | 2025-10-16T23:09:22Z | 2026-03-11T15:57:03Z | transformers | 42 | 3 | null | text-ranking | {"parameters": {"BF16": 1235816448}, "total": 1235816448} | [
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"license:other",
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["multilingual"], "library_name": "transformers", "license": "other", "license_name": "nvidia-open-model-license", "license_link": "https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/", "metrics": null, "model_na... | null | null | [
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] | null | [
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621ffdc036468d709f174357 | google-t5/t5-large | google-t5 | null | 380,214 | 26,996,541 | False | 2022-03-02T23:29:04Z | 2023-04-06T13:42:27Z | transformers | 252 | 2 | null | translation | {"parameters": {"F32": 737668608}, "total": 737668608} | [
".gitattributes",
"README.md",
"config.json",
"flax_model.msgpack",
"generation_config.json",
"model.safetensors",
"pytorch_model.bin",
"spiece.model",
"tf_model.h5",
"tokenizer.json"
] | 150ebc2c4b72291e770f58e6057481c8d2ed331a | [
"transformers",
"pytorch",
"tf",
"jax",
"safetensors",
"t5",
"text2text-generation",
"summarization",
"translation",
"en",
"fr",
"ro",
"de",
"multilingual",
"dataset:c4",
"arxiv:1805.12471",
"arxiv:1708.00055",
"arxiv:1704.05426",
"arxiv:1606.05250",
"arxiv:1808.09121",
"arxi... | null | {"architectures": ["T5ForConditionalGeneration"], "model_type": "t5"} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["c4"], "eval_results": null, "language": ["en", "fr", "ro", "de", "multilingual"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["summarization", "translation"]} | # Model Card for T5 Large
# Table of Contents
1. [Model Details](#model-details)
2. [Uses](#uses)
3. ... | null | [
"apache-2.0"
] | [
"c4"
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"en",
"fr",
"ro",
"de",
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"text"
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621ffdc036468d709f174364 | FacebookAI/xlm-roberta-base | FacebookAI | null | 20,847,797 | 598,280,175 | False | 2022-03-02T23:29:04Z | 2024-02-19T12:48:21Z | transformers | 800 | 2 | null | fill-mask | {"parameters": {"F32": 278885778}, "total": 278885778} | [
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"config.json",
"flax_model.msgpack",
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"model.safetensors",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json"
] | e73636d4f797dec63c3081bb6ed5c7b0bb3f2089 | [
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"tf",
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"onnx",
"safetensors",
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XLM-RoBERTa model pre-trained on 2.5TB of filtered CommonCrawl data containing 100 languages. It was introduced in the paper [Unsupervised Cross-lingual Representation Learning at Scale](https://arxiv.org/abs/1911.02116) by Conneau et al. and first released in [this repository](https:... | null | [
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621ffdc136468d709f17bab3 | hfl/chinese-macbert-base | hfl | null | 19,784 | 50,544,731 | False | 2022-03-02T23:29:05Z | 2021-05-19T19:09:45Z | transformers | 160 | 2 | null | fill-mask | null | [
".gitattributes",
"README.md",
"added_tokens.json",
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"flax_model.msgpack",
"pytorch_model.bin",
"special_tokens_map.json",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | a986e004d2a7f2a1c2f5a3edef4e20604a974ed1 | [
"transformers",
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"bert",
"fill-mask",
"zh",
"arxiv:2004.13922",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
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] | null | {"architectures": ["BertForMaskedLM"], "model_type": "bert", "tokenizer_config": {}} | {
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"pipeline_tag": "fill-mask",
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<br>
<img src="https://github.com/ymcui/MacBERT/raw/master/pics/banner.png" width="500"/>
<br>
</p>
<p align="center">
<a href="https://github.com/ymcui/MacBERT/blob/master/LICENSE">
<img alt="GitHub" src="https://img.shields.io/github/license/ymcui/MacBERT.svg?color=blue&styl... | null | [
"apache-2.0"
] | null | [
"zh"
] | null | null | null | [
"AutoModelForMaskedLM",
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"BertForMaskedLM"
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"fill-mask"
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"text"
] | [
"text"
] | [
"logits"
] |
621ffdc136468d709f17bab8 | hfl/chinese-roberta-wwm-ext | hfl | null | 131,858 | 22,640,266 | False | 2022-03-02T23:29:05Z | 2022-03-01T09:13:56Z | transformers | 400 | 2 | null | fill-mask | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"flax_model.msgpack",
"pytorch_model.bin",
"special_tokens_map.json",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 5c58d0b8ec1d9014354d691c538661bf00bfdb44 | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"zh",
"arxiv:1906.08101",
"arxiv:2004.13922",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertForMaskedLM"], "model_type": "bert", "tokenizer_config": {}} | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["zh"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["bert"]} | # Please use 'Bert' related functions to load this model!
## Chinese BERT with Whole Word Masking
For further accelerating Chinese natural language processing, we provide **Chinese pre-trained BERT with Whole Word Masking**.
**[Pre-Training with Whole Word Masking for Chinese BERT](https://arxiv.org/abs/1906.08101)*... | null | [
"apache-2.0"
] | null | [
"zh"
] | null | null | null | [
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"BertForMaskedLM"
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"fill-mask"
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"text"
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621ffdc136468d709f17ea62 | openai/clip-vit-base-patch32 | openai | null | 20,480,777 | 550,794,862 | False | 2022-03-02T23:29:05Z | 2024-02-29T09:45:55Z | transformers | 890 | 2 | null | zero-shot-image-classification | null | [
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"pytorch_model.bin",
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"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 3d74acf9a28c67741b2f4f2ea7635f0aaf6f0268 | [
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"zero-shot-image-classification",
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"arxiv:2103.00020",
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] | null | {"architectures": ["CLIPModel"], "model_type": "clip", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|startoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "... | {
"auto_model": "AutoModelForZeroShotImageClassification",
"custom_class": null,
"pipeline_tag": "zero-shot-image-classification",
"processor": "AutoProcessor"
} | {"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": ["vision"], "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolv... | # Model Card: CLIP
Disclaimer: The model card is taken and modified from the official CLIP repository, it can be found [here](https://github.com/openai/CLIP/blob/main/model-card.md).
## Model Details
The CLIP model was developed by researchers at OpenAI to learn about what contributes to robustness in computer visio... | null | null | null | null | null | null | null | [
"AutoModelForZeroShotImageClassification",
"CLIPModel",
"clip"
] | [
"zero-shot-image-classification"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"logits"
] |
62c7fc5d5bde502a1927e753 | facebook/nllb-200-distilled-600M | facebook | null | 926,215 | 21,426,934 | False | 2022-07-08T09:43:57Z | 2024-02-14T17:18:36Z | transformers | 874 | 2 | null | translation | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | f8d333a098d19b4fd9a8b18f94170487ad3f821d | [
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"bem",
"b... | null | {"architectures": ["M2M100ForConditionalGeneration"], "model_type": "m2m_100", "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": "<pad>", "... | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
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} | {"base_model": null, "datasets": ["flores-200"], "eval_results": null, "language": ["ace", "acm", "acq", "aeb", "af", "ajp", "ak", "als", "am", "apc", "ar", "ars", "ary", "arz", "as", "ast", "awa", "ayr", "azb", "azj", "ba", "bm", "ban", "be", "bem", "bn", "bho", "bjn", "bo", "bs", "bug", "bg", "ca", "ceb", "cs", "cjk"... | # NLLB-200
This is the model card of NLLB-200's distilled 600M variant.
Here are the [metrics](https://tinyurl.com/nllb200densedst600mmetrics) for that particular checkpoint.
- Information about training algorithms, parameters, fairness constraints or other applied approaches, and features. The exact training algori... | null | [
"cc-by-nc-4.0"
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"bleu",
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637b3a4b5bd64ccdb1436b37 | sander-wood/text-to-music | sander-wood | null | 665 | 73,811 | False | 2022-11-21T08:43:55Z | 2023-08-19T06:17:31Z | transformers | 150 | 2 | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"tokenizer.json",
"vocab.json"
] | e81a6adbef0277cfa2299cb9884e9440a31923b8 | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"music",
"en",
"arxiv:2211.11216",
"license:mit",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BartForConditionalGeneration"], "model_type": "bart"} | {
"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": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["music"], "widget": [{"text": "This is a traditional Irish dance music."}], "inference": ... | # Exploring the Efficacy of Pre-trained Checkpoints in Text-to-Music Generation Task
## Model description
This language-music model takes [BART-base](https://huggingface.co/facebook/bart-base) fine-tunes on 282,870 English text-music pairs, where all scores are represented in ABC notation. It was introduced in the pa... | null | [
"mit"
] | null | [
"en"
] | null | null | null | [
"bart",
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] | [
"text2text-generation"
] | null | null | null |
63976a3965d1f3432248c26c | Salesforce/blip-vqa-base | Salesforce | null | 620,476 | 11,786,128 | False | 2022-12-12T17:51:53Z | 2025-02-03T06:44:34Z | transformers | 189 | 2 | null | visual-question-answering | {"parameters": {"I64": 1024, "F32": 384672572}, "total": 384673596} | [
".gitattributes",
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"pytorch_model.bin",
"special_tokens_map.json",
"tf_model.h5",
"tokenizer.json",
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] | 787b3d35d57e49572baabd22884b3d5a05acf072 | [
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"blip",
"visual-question-answering",
"arxiv:2201.12086",
"license:bsd-3-clause",
"region:us"
] | null | {"architectures": ["BlipForQuestionAnswering"], "model_type": "blip", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForVisualQuestionAnswering",
"custom_class": null,
"pipeline_tag": "visual-question-answering",
"processor": "AutoProcessor"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "bsd-3-clause", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "visual-question-answering", "tags": ["visual-question-answering"], "inference": false, "langua... | # BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Model card for BLIP trained on visual question answering- base architecture (with ViT base backbone).
| ![BLIP.gif](https://cdn-uploads.huggingface.co/production/uploads/1670928184033-62441d1d9fdefb55a0b7d12c.gi... | null | [
"bsd-3-clause"
] | null | null | 384,673,596 | null | null | [
"blip",
"AutoModelForVisualQuestionAnswering",
"BlipForQuestionAnswering"
] | [
"visual-question-answering"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"logits"
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63ee95d76349d1a6706e750f | laion/clap-htsat-fused | laion | null | 26,226,836 | 126,555,152 | False | 2023-02-16T20:45:11Z | 2026-01-12T00:41:49Z | transformers | 65 | 2 | null | audio-classification | {"parameters": {"I64": 50180, "F32": 153508136}, "total": 153558316} | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
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"preprocessor_config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
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] | 365dea6ef167def6676140ed93bbc43f84dabb28 | [
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"audio-classification",
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"arxiv:2211.06687",
"license:apache-2.0",
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"region:us"
] | null | {"architectures": ["ClapModel"], "model_type": "clap", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoProcessor"
} | {"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": "audio-classification", "tags": ["zero-shot audio classification", "zero-shot audio retrieval"]... | # Model card for CLAP
Model card for CLAP: Contrastive Language-Audio Pretraining
# Table of Contents
0. [TL;DR](#TL;DR)
1. [Model Details](#model-details)
2. [Usage](#usage)
3. [Uses](#uses)
4. [Citation]... | null | [
"apache-2.0"
] | null | [
"en"
] | 153,558,316 | null | null | [
"clap",
"AutoModel",
"ClapModel"
] | [
"audio-classification",
"feature-extraction"
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"multimodal",
"audio"
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"text",
"audio"
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"logits",
"embeddings"
] |
63f520d3cc1dd3168692e256 | patrickjohncyh/fashion-clip | patrickjohncyh | null | 2,602,382 | 104,894,550 | False | 2023-02-21T19:51:47Z | 2024-09-17T15:19:43Z | transformers | 270 | 2 | null | zero-shot-image-classification | {"parameters": {"I64": 127, "F32": 151277312}, "total": 151277439} | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
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"onnx/config.json",
"onnx/merges.txt",
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"onnx/special_tokens_map.json",
"onnx/tokenizer.json",
"onnx/tokenizer_config.json",
"onnx/vocab.json",
"preprocessor_... | 7e3ba62ce16b379a1ab479346b66f192e76f51b7 | [
"transformers",
"pytorch",
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"safetensors",
"clip",
"zero-shot-image-classification",
"vision",
"language",
"fashion",
"ecommerce",
"en",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["CLIPModel"], "model_type": "clip", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|startoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "... | {
"auto_model": "AutoModelForZeroShotImageClassification",
"custom_class": null,
"pipeline_tag": "zero-shot-image-classification",
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"mit"
] | null | [
"en"
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"AutoModelForZeroShotImageClassification",
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"multimodal"
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"text",
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"logits"
] |
64993af29c04c6314f954df8 | zhihan1996/DNABERT-2-117M | zhihan1996 | null | 79,857 | 4,317,710 | False | 2023-06-26T07:14:58Z | 2025-06-30T21:44:21Z | transformers | 93 | 2 | null | null | null | [
".gitattributes",
"LICENSE",
"README.md",
"bert_layers.py",
"bert_padding.py",
"config.json",
"configuration_bert.py",
"flash_attn_triton.py",
"generation_config.json",
"pytorch_model.bin",
"tokenizer.json",
"tokenizer_config.json"
] | 7bce263b15377fc15361f52cfab88f8b586abda0 | [
"transformers",
"pytorch",
"biology",
"medical",
"genomics",
"custom_code",
"arxiv:2306.15006",
"endpoints_compatible",
"region:us"
] | null | {"auto_map": {"AutoConfig": "configuration_bert.BertConfig", "AutoModel": "bert_layers.BertModel", "AutoModelForMaskedLM": "bert_layers.BertForMaskedLM", "AutoModelForSequenceClassification": "bert_layers.BertForSequenceClassification"}, "tokenizer_config": {"unk_token": "[UNK]", "cls_token": "[CLS]", "sep_token": "[SE... | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": null,
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": ["matthews_correlation", "f1"], "model_name": null, "pipeline_tag": null, "tags": ["biology", "medical", "genomics"]} | null | null | null | null | null | null | null | [
"matthews_correlation",
"f1"
] | [
"AutoModel"
] | [
null
] | null | null | null |
64fff5087f91f94040eee912 | BAAI/bge-large-en-v1.5 | BAAI | null | 6,418,033 | 82,300,595 | False | 2023-09-12T05:20:08Z | 2024-02-21T02:51:44Z | sentence-transformers | 636 | 2 | [{"name": "bge-large-en-v1.5", "results": [{"task": {"type": "Classification"}, "dataset": {"type": "mteb/amazon_counterfactual", "name": "MTEB AmazonCounterfactualClassification (en)", "config": "en", "split": "test", "revision": "e8379541af4e31359cca9fbcf4b00f2671dba205"}, "metrics": [{"type": "accuracy", "value": 75... | feature-extraction | null | [
".gitattributes",
"1_Pooling/config.json",
"README.md",
"config.json",
"config_sentence_transformers.json",
"model.safetensors",
"modules.json",
"onnx/model.onnx",
"pytorch_model.bin",
"sentence_bert_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab... | d4aa6901d3a41ba39fb536a557fa166f842b0e09 | [
"sentence-transformers",
"pytorch",
"onnx",
"safetensors",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"mteb",
"en",
"arxiv:2401.03462",
"arxiv:2312.15503",
"arxiv:2311.13534",
"arxiv:2310.07554",
"arxiv:2309.07597",
"license:mit",
"model-index",
"text-embe... | null | {"architectures": ["BertModel"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"language": ["en"], "license": "mit", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers", "mteb"], "model-index": [{"name": "bge-large-en-v1.5", "results": [{"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonCounterfactualClassification (en)", "type": "mteb/... | <h1 align="center">FlagEmbedding</h1>
<h4 align="center">
<p>
<a href=#model-list>Model List</a> |
<a href=#frequently-asked-questions>FAQ</a> |
<a href=#usage>Usage</a> |
<a href="#evaluation">Evaluation</a> |
<a href="#train">Train</a> |
<a href="#contact">Conta... | null | [
"mit"
] | null | [
"en"
] | null | null | null | [
"BertModel",
"AutoModel",
"bert"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
64fff595990aaba7bb312c5e | BAAI/bge-small-zh-v1.5 | BAAI | null | 1,482,404 | 4,129,254 | False | 2023-09-12T05:22:29Z | 2023-10-12T03:35:59Z | transformers | 104 | 2 | null | feature-extraction | null | [
".gitattributes",
"1_Pooling/config.json",
"README.md",
"config.json",
"config_sentence_transformers.json",
"model.safetensors",
"modules.json",
"pytorch_model.bin",
"sentence_bert_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 7999e1d3359715c523056ef9478215996d62a620 | [
"transformers",
"pytorch",
"safetensors",
"bert",
"feature-extraction",
"zh",
"arxiv:2310.07554",
"arxiv:2309.07597",
"license:mit",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertModel"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["zh"], "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | <h1 align="center">FlagEmbedding</h1>
<h4 align="center">
<p>
<a href=#model-list>Model List</a> |
<a href=#frequently-asked-questions>FAQ</a> |
<a href=#usage>Usage</a> |
<a href="#evaluation">Evaluation</a> |
<a href="#train">Train</a> |
<a href="#contact">Conta... | null | [
"mit"
] | null | [
"zh"
] | null | null | null | [
"BertModel",
"AutoModel",
"bert"
] | [
"feature-extraction"
] | [
"multimodal"
] | [
"text"
] | [
"embeddings"
] |
653e3b904a52f10eaf646821 | deepseek-ai/deepseek-coder-6.7b-instruct | deepseek-ai | null | 117,226 | 1,803,174 | False | 2023-10-29T11:01:36Z | 2024-02-02T03:02:26Z | transformers | 486 | 2 | null | text-generation | {"parameters": {"BF16": 6740512768}, "total": 6740512768} | [
".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",
"to... | e5d64addd26a6a1db0f9b863abf6ee3141936807 | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "<|EOT|>", "lstr... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "other", "license_name": "deepseek", "license_link": "LICENSE", "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | <p align="center">
<img width="1000px" alt="DeepSeek Coder" src="https://github.com/deepseek-ai/DeepSeek-Coder/blob/main/pictures/logo.png?raw=true">
</p>
<p align="center"><a href="https://www.deepseek.com/">[🏠Homepage]</a> | <a href="https://coder.deepseek.com/">[🤖 Chat with DeepSeek Coder]</a> | <a href="https... | null | [
"other",
"deepseek",
"LICENSE"
] | null | null | 6,740,512,768 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6561aba42c671784e2c28b58 | protectai/deberta-v3-base-prompt-injection | protectai | {
"models": [
{
"_id": "621ffdc136468d709f17dee4",
"id": "microsoft/deberta-v3-base"
}
],
"relation": "quantized"
} | 104,498 | 5,157,836 | False | 2023-11-25T08:09:08Z | 2025-05-30T10:27:02Z | transformers | 104 | 2 | [{"name": "deberta-v3-base-prompt-injection", "results": []}] | text-classification | {"parameters": {"F32": 184423682}, "total": 184423682} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"deberta-v3-base-prompt-injection-v1_emissions.csv",
"emissions.csv",
"model.safetensors",
"onnx/added_tokens.json",
"onnx/config.json",
"onnx/model.onnx",
"onnx/model_optimized.onnx",
"onnx/special_tokens_map.json",
"onnx/sp... | 447ec1ac62f47c9be5a0bc65e8d52569b37315a6 | [
"transformers",
"onnx",
"safetensors",
"deberta-v2",
"text-classification",
"prompt-injection",
"injection",
"security",
"generated_from_trainer",
"en",
"dataset:Lakera/gandalf_ignore_instructions",
"dataset:rubend18/ChatGPT-Jailbreak-Prompts",
"dataset:imoxto/prompt_injection_cleaned_datase... | 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-base", "datasets": ["Lakera/gandalf_ignore_instructions", "rubend18/ChatGPT-Jailbreak-Prompts", "imoxto/prompt_injection_cleaned_dataset-v2", "hackaprompt/hackaprompt-dataset", "fka/awesome-chatgpt-prompts", "teven/prompted_examples", "Dahoas/synthetic-hh-rlhf-prompts", "Dahoas/hh_p... | # Model Card for deberta-v3-base-prompt-injection
**There is a newer version of the model - [protectai/deberta-v3-base-prompt-injection-v2](https://huggingface.co/protectai/deberta-v3-base-prompt-injection-v2).**
This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/debert... | null | [
"apache-2.0"
] | [
"Lakera/gandalf_ignore_instructions",
"rubend18/ChatGPT-Jailbreak-Prompts",
"imoxto/prompt_injection_cleaned_dataset-v2",
"hackaprompt/hackaprompt-dataset",
"fka/awesome-chatgpt-prompts",
"teven/prompted_examples",
"Dahoas/synthetic-hh-rlhf-prompts",
"Dahoas/hh_prompt_format",
"MohamedRashad/ChatGPT... | [
"en"
] | 184,423,682 | null | [
"accuracy",
"recall",
"precision",
"f1"
] | [
"AutoModelForSequenceClassification",
"deberta-v2",
"DebertaV2ForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
656eedec8bb9f4f8d95d6376 | llava-hf/llava-1.5-7b-hf | llava-hf | null | 3,556,657 | 24,312,556 | False | 2023-12-05T09:31:24Z | 2025-06-06T08:42:20Z | transformers | 351 | 2 | null | image-text-to-text | {"parameters": {"F16": 7063427072}, "total": 7063427072} | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.jinja",
"chat_template.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_co... | b234b804b114d9e37bb655e11cbbb5f5e971b7a9 | [
"transformers",
"safetensors",
"llava",
"image-text-to-text",
"vision",
"conversational",
"en",
"dataset:liuhaotian/LLaVA-Instruct-150K",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlavaForConditionalGeneration"], "model_type": "llava", "processor_config": {"chat_template": "{% for message in messages %}{% if message['role'] != 'system' %}{{ message['role'].upper() + ': '}}{% endif %}{# Render all images first #}{% for content in message['content'] | selectattr('type', 'equalt... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": null, "datasets": ["liuhaotian/LLaVA-Instruct-150K"], "eval_results": null, "language": ["en"], "library_name": null, "license": "llama2", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": ["vision", "image-text-to-text"], "arxi... | # LLaVA Model Card
Below is the model card of Llava model 7b, which is copied from the original Llava model card that you can find [here](https://huggingface.co/liuhaotian/llava-v1.5-13b).
Check out... | null | [
"llama2"
] | [
"liuhaotian/LLaVA-Instruct-150K"
] | [
"en"
] | 7,063,427,072 | null | null | [
"AutoModelForImageTextToText",
"LlavaForConditionalGeneration",
"llava"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
65b6216c6eb00fa6449e4fba | ZySec-AI/SecurityLLM | ZySec-AI | null | 202 | 189,787 | False | 2024-01-28T09:42:04Z | 2024-07-29T21:43:43Z | transformers | 103 | 2 | null | text-generation | {"parameters": {"F16": 7241732096}, "total": 7241732096} | [
".gitattributes",
"README.md",
"ZySec-7B-dataset-composition.png",
"config.json",
"generation_config.json",
"gitattributes.txt",
"model-00001-of-00003.safetensors",
"model-00002-of-00003.safetensors",
"model-00003-of-00003.safetensors",
"model.safetensors.index.json",
"sample-output.png",
"spe... | 7980811cfd55c1183c244d61bcb9b022629f3616 | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"security",
"cybersecwithai",
"threat",
"vulnerability",
"infosec",
"zysec.ai",
"cyber security",
"ai4security",
"llmsecurity",
"cyber",
"malware analysis",
"exploitdev",
"ai4good",
"aisecurity",
"cybersec",
"cybersec... | 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": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["security", "cybersecwithai", "threat", "vulnerability", "infosec", "zys... | # ZySec-7B
ZySec-7B, stands as a pivotal innovation for security professionals, leveraging the advanced capabilities of HuggingFace's Zephyr language model series. This AI model is crafted to be an omnipresent cybersecurity ally, offering on-demand, expert guidance in cybersecurity issues. Picture ZySec-7B as an ever-... | null | [
"apache-2.0"
] | null | null | 7,241,732,096 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65c48cae885203c00532a392 | google/gemma-2b | google | null | 177,017 | 9,156,566 | manual | 2024-02-08T08:11:26Z | 2024-09-27T12:18:55Z | transformers | 1,152 | 2 | null | text-generation | {"parameters": {"BF16": 2506172416}, "total": 2506172416} | [
".gitattributes",
"README.md",
"config.json",
"gemma-2b.gguf",
"generation_config.json",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | 9cf48e52b224239de00d483ec8eb84fb8d0f3a3a | [
"transformers",
"safetensors",
"gguf",
"gemma",
"text-generation",
"arxiv:2312.11805",
"arxiv:2009.03300",
"arxiv:1905.07830",
"arxiv:1911.11641",
"arxiv:1904.09728",
"arxiv:1905.10044",
"arxiv:1907.10641",
"arxiv:1811.00937",
"arxiv:1809.02789",
"arxiv:1911.01547",
"arxiv:1705.03551",... | {"total": 2506434560, "architecture": "gemma", "context_length": 8192, "bos_token": "<bos>", "eos_token": "<eos>"} | {"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": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null, "new_version": "google/gemma-2-2b", "extra_gated_heading": "Access Gemma... | null | null | [
"gemma"
] | null | null | 2,506,172,416 | 2,506,434,560 | null | [
"AutoModelForCausalLM",
"gemma",
"GemmaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65e9e11efd3543cc7c07ea30 | mixedbread-ai/mxbai-embed-large-v1 | mixedbread-ai | null | 2,639,489 | 68,078,326 | False | 2024-03-07T15:45:34Z | 2026-01-23T11:59:58Z | sentence-transformers | 775 | 2 | [{"name": "mxbai-angle-large-v1", "results": [{"task": {"type": "Classification"}, "dataset": {"type": "mteb/amazon_counterfactual", "name": "MTEB AmazonCounterfactualClassification (en)", "config": "en", "split": "test", "revision": "e8379541af4e31359cca9fbcf4b00f2671dba205"}, "metrics": [{"type": "accuracy", "value":... | feature-extraction | {"parameters": {"F16": 335141888}, "total": 335141888} | [
".gitattributes",
"1_Pooling/config.json",
"LICENSE",
"README.md",
"config.json",
"config_sentence_transformers.json",
"gguf/mxbai-embed-large-v1-f16.gguf",
"model.safetensors",
"modules.json",
"onnx/model.onnx",
"onnx/model_fp16.onnx",
"onnx/model_quantized.onnx",
"openvino/openvino_model.b... | b33106f585b9ce46904ad7443a3b52b7a63e231c | [
"sentence-transformers",
"onnx",
"safetensors",
"openvino",
"gguf",
"bert",
"feature-extraction",
"mteb",
"transformers.js",
"transformers",
"en",
"arxiv:2309.12871",
"license:apache-2.0",
"model-index",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | {"total": 334092288, "architecture": "bert", "context_length": 512, "causal": false, "bos_token": "[CLS]", "eos_token": "[SEP]"} | {"architectures": ["BertModel"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"language": ["en"], "library_name": "sentence-transformers", "license": "apache-2.0", "pipeline_tag": "feature-extraction", "tags": ["mteb", "transformers.js", "transformers"], "model-index": [{"name": "mxbai-angle-large-v1", "results": [{"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonCounterfactu... | <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 | [
"en"
] | 335,141,888 | 334,092,288 | null | [
"BertModel",
"AutoModel",
"bert"
] | [
"feature-extraction"
] | [
"multimodal"
] | [
"text"
] | [
"embeddings"
] |
65fc23c2bd57c920d7b1e521 | distil-whisper/distil-large-v3 | distil-whisper | null | 995,399 | 14,007,540 | False | 2024-03-21T12:10:42Z | 2025-03-06T17:22:45Z | transformers | 374 | 2 | null | automatic-speech-recognition | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"flax_model.msgpack",
"generation_config.json",
"merges.txt",
"model.fp32.safetensors",
"model.safetensors",
"normalizer.json",
"onnx/decoder_model.onnx",
"onnx/decoder_model_merged.onnx",
"onnx/decoder_model_merged_quantized... | ff05a2254c6f9542535fd778dae85b39a08cae31 | [
"transformers",
"jax",
"tensorboard",
"onnx",
"safetensors",
"whisper",
"automatic-speech-recognition",
"audio",
"transformers.js",
"en",
"arxiv:2311.00430",
"arxiv:2210.13352",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["WhisperForConditionalGeneration"], "model_type": "whisper", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "pad_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForSpeechSeq2Seq",
"custom_class": null,
"pipeline_tag": "automatic-speech-recognition",
"processor": "AutoProcessor"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "automatic-speech-recognition", "tags": ["audio", "automatic-speech-recognition", "transform... | # Distil-Whisper: distil-large-v3
Distil-Whisper was proposed in the paper [Robust Knowledge Distillation via Large-Scale Pseudo Labelling](https://arxiv.org/abs/2311.00430).
This is the third and final installment of the Distil-Whisper English series. It the knowledge distilled version of
OpenAI's [Whisper large-v... | null | [
"mit"
] | null | [
"en"
] | null | null | null | [
"WhisperForConditionalGeneration",
"whisper",
"AutoModelForSpeechSeq2Seq"
] | [
"automatic-speech-recognition"
] | [
"multimodal"
] | [
"audio"
] | [
"text"
] |
65fc666484967e8c519f6ad6 | google/codegemma-2b | google | null | 11,763 | 155,058 | manual | 2024-03-21T16:55:00Z | 2024-08-07T18:27:30Z | transformers | 96 | 2 | null | text-generation | {"parameters": {"BF16": 2506172416}, "total": 2506172416} | [
".gitattributes",
"README.md",
"codegemma_nl_benchmarks.png",
"config.json",
"generation_config.json",
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"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"... | e7583edabd3dd48a9c705974a9456852f1205ab1 | [
"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 | 2,506,172,416 | null | null | [
"AutoModelForCausalLM",
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] | [
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] | [
"text"
] | [
"text"
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6606a188032a0b268a553b1b | 1bitLLM/bitnet_b1_58-large | 1bitLLM | null | 1,458 | 140,322 | False | 2024-03-29T11:10:00Z | 2024-03-29T11:24:06Z | transformers | 119 | 2 | null | text-generation | {"parameters": {"F32": 728843904}, "total": 728843904} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"configuration_bitnet.py",
"eval_ppl.py",
"eval_task.py",
"eval_utils.py",
"generation_config.json",
"model.safetensors",
"modeling_bitnet.py",
"special_tokens_map.json",
"tokenization_bitnet.py",
"tokenizer.json",
"token... | 85d047191dcb224f0e04f20d26110caaf8dc1a47 | [
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"llama",
"text-generation",
"arxiv:2402.17764",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BitnetForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": "<pad>", "unk_token": "<unk>", "use_default_system_prompt": false}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | This is a reproduction of the <a href="https://arxiv.org/abs/2402.17764"> BitNet b1.58</a> paper. The models are trained with <a href="https://github.com/togethercomputer/RedPajama-Data">RedPajama dataset</a> for 100B tokens. The hypers, as well as two-stage LR and weight decay, are implemented as suggested in their fo... | null | [
"mit"
] | null | null | 728,843,904 | null | null | [
"AutoModelForCausalLM",
"llama",
"BitnetForCausalLM"
] | [
"text-generation"
] | [
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] | [
"text"
] | [
"text"
] |
6622f68c86fe55ab80c9dc38 | Dogge/llama-3-70B-instruct-uncensored | Dogge | {
"models": [
{
"_id": "6622ac45ef00d8ae7a8e523d",
"id": "unsloth/llama-3-70b-Instruct-bnb-4bit"
}
],
"relation": "finetune"
} | 211 | 2,399 | False | 2024-04-19T22:56:12Z | 2024-04-20T03:28:23Z | transformers | 16 | 2 | null | text-generation | {"parameters": {"BF16": 70553706496}, "total": 70553706496} | [
".gitattributes",
"README.md",
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"model-0... | 7eae4e46c6a6d9329daf3d3673a7ab9d98facb66 | [
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"trl",
"sft",
"conversational",
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"base_model:unsloth/llama-3-70b-Instruct-bnb-4bit",
"base_model:finetune:unsloth/llama-3-70b-Instruct-bnb-4bit",
"license:apache-2.0",
"endpoints_compati... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|e... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "unsloth/llama-3-70b-Instruct-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", ... | # Uploaded model
- **Developed by:** Dogge
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-70b-Instruct-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/un... | null | [
"apache-2.0"
] | null | [
"en"
] | 70,553,706,496 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66244c6c251ee52d52247964 | dphn/dolphin-2.9-llama3-8b | dphn | {
"models": [
{
"_id": "661f97d48e7f3438386f755d",
"id": "meta-llama/Meta-Llama-3-8B"
}
],
"relation": "finetune"
} | 8,969 | 369,203 | False | 2024-04-20T23:14:52Z | 2026-01-31T03:04:37Z | transformers | 485 | 2 | [{"name": "out", "results": []}] | text-generation | null | [
".gitattributes",
"LICENSE",
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"latest",
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"model.safetensors.index.json",
"scheduler.pt",
"specia... | d94261ccf9597b04b60b0dd5d15c76e9da2bb6f1 | [
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"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"dataset:cognitivecomputations/dolphin-coder",
"da... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "meta-llama/Meta-Llama-3-8B", "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-problems-200k", "aba... | null | null | [
"other"
] | [
"cognitivecomputations/Dolphin-2.9",
"teknium/OpenHermes-2.5",
"m-a-p/CodeFeedback-Filtered-Instruction",
"cognitivecomputations/dolphin-coder",
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"HuggingFaceH4/ultrachat_200k",
"microsoft/orca-math-word-problems-200k",
"abacusai/SystemChat-1.1",
"Locutusque/fun... | null | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
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] | [
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] | [
"text"
] | [
"text"
] |
6649c024e74442492218cf6a | openbmb/MiniCPM-Llama3-V-2_5 | openbmb | null | 68,449 | 1,270,784 | False | 2024-05-19T09:02:28Z | 2025-01-15T10:28:12Z | transformers | 1,411 | 2 | null | image-text-to-text | {"parameters": {"F16": 8537092336}, "total": 8537092336} | [
".gitattributes",
"README.md",
"assets/MiniCPM-Llama3-V-2.5-benchmark.png",
"assets/MiniCPM-Llama3-V-2.5-peformance.png",
"assets/gif_cases/1-4.gif",
"assets/gif_cases/meal_plan.gif",
"assets/gif_cases/ticket.gif",
"assets/minicpmv-llama3-v2.5/case_OCR_en.png",
"assets/minicpmv-llama3-v2.5/case_comp... | fd7f352fac0e06d0d818b23f98e3ec8c64267a57 | [
"transformers",
"safetensors",
"minicpmv",
"feature-extraction",
"minicpm-v",
"vision",
"ocr",
"custom_code",
"image-text-to-text",
"conversational",
"multilingual",
"dataset:openbmb/RLAIF-V-Dataset",
"region:us"
] | null | {"architectures": ["MiniCPMV"], "auto_map": {"AutoConfig": "configuration_minicpm.MiniCPMVConfig", "AutoModel": "modeling_minicpmv.MiniCPMV", "AutoModelForCausalLM": "modeling_minicpmv.MiniCPMV"}, "model_type": "minicpmv", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = m... | {
"auto_model": "AutoModel",
"custom_class": "modeling_minicpmv.MiniCPMV",
"pipeline_tag": "feature-extraction",
"processor": null
} | {"base_model": null, "datasets": ["openbmb/RLAIF-V-Dataset"], "eval_results": null, "language": ["multilingual"], "library_name": "transformers", "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": ["minicpm-v", "vision", "ocr",... | <h1>A GPT-4V Level Multimodal LLM on Your Phone</h1>
[GitHub](https://github.com/OpenBMB/MiniCPM-V) | [Demo](https://huggingface.co/spaces/openbmb/MiniCPM-Llama3-V-2_5) | <a href="https://github.com/OpenBMB/MiniCPM-V/blob/main/docs/wechat.md" target="_blank"> WeChat</a>
## News <!-- omit in toc -->
#### 📌 Pinned
... | null | null | [
"openbmb/RLAIF-V-Dataset"
] | [
"multilingual"
] | 8,537,092,336 | null | null | [
"AutoModel",
"MiniCPMV",
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"modeling_minicpmv.MiniCPMV"
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] | [
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] | [
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] | [
"text",
"embeddings"
] |
664e360f42c1e24923a007b5 | unsloth/mistral-7b-instruct-v0.3-bnb-4bit | unsloth | {
"models": [
{
"_id": "664dc170474f2283fa5c8659",
"id": "mistralai/Mistral-7B-Instruct-v0.3"
}
],
"relation": "quantized"
} | 51,081 | 1,754,162 | False | 2024-05-22T18:14:39Z | 2024-11-22T08:28:17Z | transformers | 36 | 2 | null | text-generation | {"parameters": {"F32": 486912, "BF16": 268701696, "U8": 7197503302}, "total": 7466691910} | [
".gitattributes",
"README.md",
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"tokenizer.json",
"tokenizer.model",
"tokenizer.model.v3",
"tokenizer_config.json"
] | d5f623888f1415cf89b5c208d09cb620694618ee | [
"transformers",
"safetensors",
"mistral",
"text-generation",
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"instruct",
"conversational",
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"base_model:quantized:mistralai/Mistral-7B-Instruct-v0.3",
"license:apache-2.0",
"text-generation-i... | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "quantization_config": {"load_in_4bit": true, "load_in_8bit": false, "quant_method": "bitsandbytes"}, "tokenizer_config": {"bos_token": "<s>", "chat_template": "{%- if messages[0][\"role\"] == \"system\" %}\n {%- set system_message = messages[0][\"co... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "mistralai/Mistral-7B-Instruct-v0.3", "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["unsloth", "transformers", "mistral", ... | # Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
We have a Google Colab Tesla T4 notebook for Mistral v3 7b here: https://colab.research.google.com/drive/1_yNCks4BTD5zOnjozppphh5GzMFaMKq_?usp=sharing
For conversational ShareGPT style and using Mistral v3 Instruct: https://colab.research.... | null | [
"apache-2.0"
] | null | [
"en"
] | 7,466,691,910 | null | null | [
"AutoModelForCausalLM",
"mistral",
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] | [
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] | [
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] | [
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] | [
"text"
] |
6654e003965ea394ee6aa251 | mlabonne/NeuralDaredevil-8B-abliterated | mlabonne | {
"models": [
{
"_id": "665348155ff9a88671a3d02c",
"id": "mlabonne/Daredevil-8B-abliterated"
}
],
"relation": "finetune"
} | 15,865 | 349,424 | False | 2024-05-27T19:33:23Z | 2026-01-23T10:43:36Z | transformers | 264 | 2 | [{"name": "Daredevil-8B-abliterated-dpomix", "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": 69.28... | text-generation | {"parameters": {"F16": 8030261248}, "total": 8030261248} | [
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... | 6567010926ff93a5e9fb809534d61ab667a86674 | [
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"base_model:finetune:mlabonne/Daredevil-8B-abliterated",
"license:llama3",
"model-index",
"text-generation-inference",
"end... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|e... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["mlabonne/Daredevil-8B-abliterated"], "datasets": ["mlabonne/orpo-dpo-mix-40k"], "license": "llama3", "tags": ["dpo"], "model-index": [{"name": "Daredevil-8B-abliterated-dpomix", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25... | null | null | [
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] | [
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] | null | 8,030,261,248 | null | null | [
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] | [
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] | [
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] |
666bbd1c6ef3046e4a538048 | deepseek-ai/DeepSeek-Coder-V2-Lite-Base | deepseek-ai | null | 2,151 | 480,098 | False | 2024-06-14T03:46:36Z | 2024-07-03T05:14:22Z | transformers | 107 | 2 | null | text-generation | {"parameters": {"BF16": 15706484224}, "total": 15706484224} | [
".gitattributes",
"README.md",
"config.json",
"configuration_deepseek.py",
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"model-00003-of-000004.safetensors",
"model-00004-of-000004.safetensors",
"model.safetensors.index.json",
"modeling_deeps... | ea9b066cee82f82906fdd58898cb3788b1c5d770 | [
"transformers",
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"deepseek_v2",
"text-generation",
"conversational",
"custom_code",
"arxiv:2401.06066",
"license:other",
"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": null, "library_name": null, "license": "other", "license_name": "deepseek-license", "license_link": "LICENSE", "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | <!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V2" />
</div>
<hr>
<div align="center" style="line-... | null | [
"other",
"deepseek-license",
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] | null | null | 15,706,484,224 | null | null | [
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"deepseek_v2"
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] | [
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6690b8f768b20cd8e636eb38 | ibm-granite/granite-3b-code-instruct-128k | ibm-granite | null | 754 | 70,845 | False | 2024-07-12T05:02:47Z | 2024-07-16T08:41:33Z | transformers | 14 | 2 | [{"name": "granite-3b-code-instruct-128k", "results": [{"task": {"type": "text-generation"}, "dataset": {"type": "bigcode/humanevalpack", "name": "HumanEvalSynthesis (Python)"}, "metrics": [{"name": "pass@1", "type": "pass@1", "value": 53.7, "verified": false}]}, {"task": {"type": "text-generation"}, "dataset": {"type"... | text-generation | {"parameters": {"BF16": 3482503680}, "total": 3482503680} | [
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# Granite-3B-Code-Instruct-128K
## Model Summary
**Granite-3B-Code-Instruct-128K** is a 3B parameter long-context instruct model fine tuned from *Granite-3B-Code-Base-128K* on a combination of **perm... | null | [
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669834831020a9a4cddf281e | TheDrummer/Gemmasutra-9B-v1 | TheDrummer | {
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---
[BeaverAI](https://huggingface.co/BeaverAI) team proudly presents
# Gemmasutra 9B v1 🧘
*Gemma's been training for you*
![image/webp](https:/... | null | null | null | null | 10,159,209,984 | null | null | [
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669e14059a4bf63e080cca8f | meta-llama/Llama-Guard-3-8B | meta-llama | {
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} | 99,708 | 4,831,998 | manual | 2024-07-22T08:10:45Z | 2024-10-11T14:52:47Z | transformers | 283 | 2 | null | text-generation | {"parameters": {"BF16": 8030261248}, "total": 8030261248} | [
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66a0f17106eed27406fdbbc0 | dnhkng/RYS-XLarge | dnhkng | null | 101 | 19,082 | False | 2024-07-24T12:20:01Z | 2024-10-11T12:11:15Z | transformers | 94 | 2 | [{"name": "RYS-XLarge", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "IFEval (0-Shot)", "type": "HuggingFaceH4/ifeval", "args": {"num_few_shot": 0}}, "metrics": [{"type": "inst_level_strict_acc and prompt_level_strict_acc", "value": 79.96, "name": "strict accuracy", "... | text-generation | null | [
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] | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|... | {
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### No Weights were modified in this process!
### Model improvement with layer duplication:
| ... | null | [
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66a5de99a28bc058db44d78f | NousResearch/Hermes-3-Llama-3.1-8B | NousResearch | {
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} | 161,863 | 2,667,390 | False | 2024-07-28T06:00:57Z | 2024-09-08T07:39:55Z | transformers | 400 | 2 | [{"name": "Hermes-3-Llama-3.1-70B", "results": []}] | text-generation | {"parameters": {"BF16": 8030261248}, "total": 8030261248} | [
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"... | 896ea440e5a9e6070e3d8a2774daf2b481ab425b | [
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"axolotl",
"roleplaying",
"chat",
"conversational",
"en",
"arxiv:2408.11857",
"base_model:meta-llam... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": [{"name": "default", "template": "{{bos_token}}{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|... | {
"auto_model": "AutoModelForCausalLM",
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"pipeline_tag": "text-generation",
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## Model Description
Hermes 3 is the latest version of our flagship Hermes series of LLMs by Nous Research.
For more details on new capabilities, training results, and ... | null | [
"llama3"
] | null | [
"en"
] | 8,030,261,248 | null | null | [
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66b571a6408752ae1651829a | Marqo/marqo-fashionSigLIP | Marqo | null | 675,593 | 6,684,011 | False | 2024-08-09T01:32:22Z | 2026-02-18T03:34:31Z | open_clip | 71 | 2 | null | zero-shot-image-classification | {"parameters": {"F32": 203155968}, "total": 203155968} | [
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] | null | {"auto_map": {"AutoConfig": "marqo_fashionSigLIP.MarqoFashionSigLIPConfig", "AutoModel": "marqo_fashionSigLIP.MarqoFashionSigLIP", "AutoProcessor": "marqo_fashionSigLIP.MarqoFashionSigLIPProcessor"}, "model_type": "siglip", "tokenizer_config": {"eos_token": "</s>", "pad_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModel",
"custom_class": null,
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": "open_clip", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["precision", "recall", "MRR"], "model_name": null, "pipeline_tag": "zero-shot-image-classification", "tags": ["clip", "transforme... | # Marqo-FashionSigLIP Model Card
[](https://github.com/marqo-ai/marqo-FashionCLIP)
Marqo-FashionSigLIP is a multimodal embedding model that provides up to [57% improvement in MRR and recall](https://www.marqo.ai/blog/search-model-for-fashion) over [fashi... | null | [
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66bae7d1115bf3ff56f2ab8e | NousResearch/Hermes-3-Llama-3.1-405B | NousResearch | {
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{
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],
"relation": "finetune"
} | 135 | 952,511 | False | 2024-08-13T04:57:53Z | 2024-10-08T08:01:44Z | transformers | 265 | 2 | [{"name": "Hermes-3-Llama-3.1-405B", "results": []}] | text-generation | null | [
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"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
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## Model Description
Hermes 3 405B is the latest flagship model in the Hermes series of LLMs by Nous Research, and the first full parameter finetune since the release ... | null | [
"llama3"
] | null | [
"en"
] | null | null | null | [
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66c8bc6fc2db2709dc176353 | fixie-ai/ultravox-v0_4 | fixie-ai | null | 840 | 165,330 | False | 2024-08-23T16:44:31Z | 2025-05-06T23:21:38Z | transformers | 51 | 2 | null | audio-text-to-text | {"parameters": {"BF16": 8072216576}, "total": 8072216576} | [
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"dataset:fixie-ai/peoples_speech",
"dataset:fnlp/A... | null | {"architectures": ["UltravoxModel"], "auto_map": {"AutoConfig": "ultravox_config.UltravoxConfig", "AutoModel": "ultravox_model.UltravoxModel", "AutoProcessor": "ultravox_processing.UltravoxProcessor"}, "model_type": "ultravox", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{- bos_token }}\n{... | {
"auto_model": "AutoModel",
"custom_class": "ultravox_model.UltravoxModel",
"pipeline_tag": "feature-extraction",
"processor": null
} | {"base_model": null, "datasets": ["fixie-ai/librispeech_asr", "fixie-ai/common_voice_17_0", "fixie-ai/peoples_speech", "fnlp/AnyInstruct"], "eval_results": null, "language": ["en", "ar", "de", "es", "fr", "it", "ja", "pt", "ru"], "library_name": "transformers", "license": "mit", "license_name": null, "license_link": nu... | # Model Card for Ultravox
Ultravox is a multimodal Speech LLM built around a pretrained [Llama3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) and [Whisper-medium](https://huggingface.co/openai/whisper-medium) backbone.
See https://ultravox.ai for the GitHub repo and more information.
## Model ... | null | [
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66d070f0e62d6bbf5021c8c2 | nvidia/NV-Embed-v2 | nvidia | null | 72,477 | 1,937,279 | False | 2024-08-29T13:00:32Z | 2025-07-21T17:48:20Z | transformers | 508 | 2 | [{"name": "NV-Embed-v2", "results": [{"dataset": {"config": "en", "name": "MTEB AmazonCounterfactualClassification (en)", "revision": "e8379541af4e31359cca9fbcf4b00f2671dba205", "split": "test", "type": "mteb/amazon_counterfactual"}, "metrics": [{"type": "accuracy", "value": 94.28358208955224, "verified": false}, {"typ... | feature-extraction | {"parameters": {"F16": 7851016192}, "total": 7851016192} | [
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"license:cc-by-nc-4.0",
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] | null | {"architectures": ["NVEmbedModel"], "auto_map": {"AutoConfig": "configuration_nvembed.NVEmbedConfig", "AutoModel": "modeling_nvembed.NVEmbedModel"}, "model_type": "nvembed", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": "</s>", "unk_token": "<unk>", "use_default_system_prompt": false}} | {
"auto_model": "AutoModel",
"custom_class": "modeling_nvembed.NVEmbedModel",
"pipeline_tag": "feature-extraction",
"processor": null
} | {"language": ["en"], "library_name": "transformers", "license": "cc-by-nc-4.0", "tags": ["mteb", "sentence-transformers"], "model-index": [{"name": "NV-Embed-v2", "results": [{"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonCounterfactualClassification (en)", "type": "mteb/amazon_counterfactual", "c... | null | null | [
"cc-by-nc-4.0"
] | null | [
"en"
] | 7,851,016,192 | null | null | [
"nvembed",
"AutoModel",
"modeling_nvembed.NVEmbedModel",
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"text"
] | [
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66e02101e1bfac4b460f103a | HF1BitLLM/Llama3-8B-1.58-100B-tokens | HF1BitLLM | {
"models": [
{
"_id": "661f97d0b00f5f1f620c4f25",
"id": "meta-llama/Meta-Llama-3-8B-Instruct"
}
],
"relation": "quantized"
} | 2,542 | 64,166 | False | 2024-09-10T10:35:45Z | 2024-09-19T04:09:11Z | transformers | 209 | 2 | null | text-generation | {"parameters": {"BF16": 1050939616, "U8": 1744830464}, "total": 2795770080} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model.safetensors",
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"tokenizer_config.json"
] | 5c35ae1f2c622b75a9c28e3603074863d74e4792 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:2402.17764",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"base_model:quantized:meta-llama/Meta-Llama-3-8B-Instruct",
"text-generation-inference",
"endpoints_compatible",
"8-bit",
"bitnet",
"deploy:azure... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"quant_method": "bitnet"}, "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["meta-llama/Meta-Llama-3-8B-Instruct"], "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # Model Card for Model ID
### Llama3-8B-1.58 Models
The **Llama3-8B-1.58** models are large language models fine-tuned on the **BitNet 1.58b architecture**, starting from the base model **Llama-3-8B-Instruct**.
For a deeper dive into the methods and results, check out our [blog post](https://huggingface.co/blog/1_58... | null | null | null | null | 2,795,770,080 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66e81c0ecfd2f50991047e92 | Qwen/Qwen2.5-0.5B-Instruct | Qwen | {
"models": [
{
"_id": "66e6cfeb6998c3d86c14e163",
"id": "Qwen/Qwen2.5-0.5B"
}
],
"relation": "finetune"
} | 5,593,599 | 32,645,708 | False | 2024-09-16T11:52:46Z | 2024-09-25T12:32:56Z | transformers | 487 | 2 | null | text-generation | {"parameters": {"BF16": 494032768}, "total": 494032768} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 7ae557604adf67be50417f59c2c2f167def9a775 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
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"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-0.5B",
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"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Aliba... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "Qwen/Qwen2.5-0.5B", "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text... | # Qwen2.5-0.5B-Instruct
## 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 kn... | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct/blob/main/LICENSE"
] | null | [
"en"
] | 494,032,768 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66e81cdaa3681387ffc12b55 | Qwen/Qwen2.5-14B-Instruct | Qwen | {
"models": [
{
"_id": "66e6d08a5c06b7719cebd8ec",
"id": "Qwen/Qwen2.5-14B"
}
],
"relation": "finetune"
} | 1,396,222 | 33,421,148 | False | 2024-09-16T11:56:10Z | 2024-09-25T12:33:04Z | transformers | 325 | 2 | null | text-generation | null | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00008.safetensors",
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"model-00004-of-00008.safetensors",
"model-00005-of-00008.safetensors",
"model-00006-of-0... | cf98f3b3bbb457ad9e2bb7baf9a0125b6b88caa8 | [
"transformers",
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"text-generation",
"chat",
"conversational",
"en",
"arxiv:2309.00071",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-14B",
"base_model:finetune:Qwen/Qwen2.5-14B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azu... | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Aliba... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "Qwen/Qwen2.5-14B", "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen2.5-14B-Instruct/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-g... | # Qwen2.5-14B-Instruct
## 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 kno... | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen2.5-14B-Instruct/blob/main/LICENSE"
] | null | [
"en"
] | null | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
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"text-generation"
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"text"
] | [
"text"
] | [
"text"
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66e81cefd1b1391042d0e47e | Qwen/Qwen2.5-72B-Instruct | Qwen | {
"models": [
{
"_id": "66e6d0a6126f9577f878c2e9",
"id": "Qwen/Qwen2.5-72B"
}
],
"relation": "finetune"
} | 683,222 | 5,494,315 | False | 2024-09-16T11:56:31Z | 2025-01-12T02:07:38Z | transformers | 922 | 2 | null | text-generation | {"parameters": {"BF16": 72706203648}, "total": 72706203648} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
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"license:other",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
... | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Aliba... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "Qwen/Qwen2.5-72B", "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "other", "license_name": "qwen", "license_link": "https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-gene... | # Qwen2.5-72B-Instruct
<a href="https://chat.qwenlm.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
## Introduction
Qwen2.5 is the latest series of Qwen large l... | null | [
"other",
"qwen",
"https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE"
] | null | [
"en"
] | 72,706,203,648 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66e97b979b3b62d76297d902 | Qwen/Qwen2.5-14B-Instruct-GPTQ-Int8 | Qwen | {
"models": [
{
"_id": "66e81cdaa3681387ffc12b55",
"id": "Qwen/Qwen2.5-14B-Instruct"
}
],
"relation": "quantized"
} | 81,257 | 384,906 | False | 2024-09-17T12:52:39Z | 2024-10-09T12:27:32Z | transformers | 24 | 2 | null | text-generation | {"parameters": {"F16": 1557976064, "I32": 13212057600}, "total": 14770033664} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
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"model-00003-of-00005.safetensors",
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"model-00005-of-00005.safetensors",
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"base_model:quantized:Qwen/Qwen2.5-14B-Instruct",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compati... | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "quantization_config": {"bits": 8, "quant_method": "gptq"}, "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "Qwen/Qwen2.5-14B-Instruct", "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen2.5-14B-Instruct-GPTQ-Int8/blob/main/LICENSE", "metrics": null, "model_name": null, "pip... | # Qwen2.5-14B-Instruct-GPTQ-Int8
## 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 ... | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen2.5-14B-Instruct-GPTQ-Int8/blob/main/LICENSE"
] | null | [
"en"
] | 14,770,033,664 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
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] | [
"text"
] | [
"text"
] | [
"text"
] |
66f94352640009849554e777 | huihui-ai/Qwen2.5-32B-Instruct-abliterated | huihui-ai | {
"models": [
{
"_id": "66e902f34eeaced24a2787f8",
"id": "Qwen/Qwen2.5-32B-Instruct"
}
],
"relation": "finetune"
} | 2,728 | 623,920 | False | 2024-09-29T12:08:50Z | 2025-04-28T12:54:26Z | transformers | 56 | 2 | null | text-generation | null | [
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66fc438f4fb09ea16669d8d7 | huihui-ai/Llama-3.2-1B-Instruct-abliterated | huihui-ai | {
"models": [
{
"_id": "66eaedefece5ee215637cc82",
"id": "meta-llama/Llama-3.2-1B-Instruct"
}
],
"relation": "finetune"
} | 2,165 | 28,535 | False | 2024-10-01T18:46:39Z | 2024-11-25T09:36:23Z | transformers | 13 | 2 | null | text-generation | {"parameters": {"BF16": 1498482688}, "total": 1498482688} | [
".gitattributes",
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"tokenizer.json",
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] | 4825c61c1de52baf477aae63c7651ff40fbfcf0c | [
"transformers",
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"base_model:finetune:meta-llama/Llama-3.2-1B-Instruct",
"license:llama3.2",
"text-generation-inference",
"endpoints_compatible",
"deploy:az... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_messag... | {
"auto_model": "AutoModelForCausalLM",
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} | {"base_model": "meta-llama/Llama-3.2-1B-Instruct", "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "llama3.2", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["abliterated", "uncensored"]} | # 🦙 Llama-3.2-1B-Instruct-abliterated
This is an uncensored version of Llama 3.2 1B Instruct created with abliteration (see [this article](https://huggingface.co/blog/mlabonne/abliteration) to know more about it).
Special thanks to [@FailSpy](https://huggingface.co/failspy) for the original code and technique. Ple... | null | [
"llama3.2"
] | null | null | 1,498,482,688 | null | null | [
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] | [
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670d5070d6ac639441760efc | Skywork/Skywork-Reward-Llama-3.1-8B-v0.2 | Skywork | {
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"id": "meta-llama/Llama-3.1-8B-Instruct"
}
],
"relation": "finetune"
} | 52,491 | 677,892 | False | 2024-10-14T17:10:08Z | 2024-10-25T01:22:28Z | transformers | 41 | 2 | null | text-classification | {"parameters": {"BF16": 7504928768}, "total": 7504928768} | [
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"text-embeddings-inference",
"endpoints_compatible",
"de... | null | {"architectures": ["LlamaForSequenceClassification"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_... | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": "meta-llama/Llama-3.1-8B-Instruct", "datasets": ["Skywork/Skywork-Reward-Preference-80K-v0.2"], "eval_results": null, "language": null, "library_name": "transformers", "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-classification", ... | <div align="center">
<img src="misc/fig.jpg" width="400"/>
🤗 <a href="https://huggingface.co/Skywork" target="_blank">Hugging Face</a> • 🤖 <a href="https://modelscope.cn/organization/Skywork" target="_blank">ModelScope</a>
<br>
<br>
<br>
</div>
# Skywork Reward Model Series
> IMPORTANT:
> This model was trained usi... | null | null | [
"Skywork/Skywork-Reward-Preference-80K-v0.2"
] | null | 7,504,928,768 | null | null | [
"LlamaForSequenceClassification",
"llama",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
672388f6e1133cff79766318 | HuggingFaceTB/SmolLM2-135M-Instruct | HuggingFaceTB | {
"models": [
{
"_id": "6722d34c3189f1de8ad8ce22",
"id": "HuggingFaceTB/SmolLM2-135M"
}
],
"relation": "quantized"
} | 934,419 | 5,086,451 | False | 2024-10-31T13:41:10Z | 2025-09-22T20:43:15Z | transformers | 303 | 2 | null | text-generation | {"parameters": {"BF16": 134515008}, "total": 134515008} | [
".gitattributes",
"README.md",
"all_results.json",
"config.json",
"eval_results.json",
"generation_config.json",
"merges.txt",
"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",
"o... | 12fd25f77366fa6b3b4b768ec3050bf629380bac | [
"transformers",
"tensorboard",
"onnx",
"safetensors",
"llama",
"text-generation",
"transformers.js",
"conversational",
"en",
"arxiv:2502.02737",
"base_model:HuggingFaceTB/SmolLM2-135M",
"base_model:quantized:HuggingFaceTB/SmolLM2-135M",
"license:apache-2.0",
"text-generation-inference",
... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|im_start|>", "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>\n'... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["HuggingFaceTB/SmolLM2-135M"], "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": ["safetensors", "onnx", "transfo... | # SmolLM2
## Table of Contents
1. [Model Summary](##model-summary)
2. [Limitations](##limitations)
3. [Training](##training)
4. [License](##license)
5. [Citation](##citation)
## Model Summary
Smo... | null | [
"apache-2.0"
] | null | [
"en"
] | 134,515,008 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6723ae720a41008803294eff | nvidia/Hymba-1.5B-Instruct | nvidia | {
"models": [
{
"_id": "6706e50aca9b1a88fc4e3843",
"id": "nvidia/Hymba-1.5B-Base"
}
],
"relation": "finetune"
} | 567 | 38,545 | False | 2024-10-31T16:21:06Z | 2025-01-02T21:25:20Z | transformers | 245 | 2 | null | text-generation | {"parameters": {"BF16": 1522797824}, "total": 1522797824} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"configuration_hymba.py",
"generation_config.json",
"images/instruct_performance.png",
"images/macro_arch.png",
"images/module.png",
"instruct_performance.png",
"model.safetensors",
"modeling_hymba.py",
"setup.sh",
"special... | bc2d2b43bc73d62ad8bfc9e6a3dcc26ab0795e77 | [
"transformers",
"safetensors",
"hymba",
"text-generation",
"conversational",
"custom_code",
"arxiv:2411.13676",
"base_model:nvidia/Hymba-1.5B-Base",
"base_model:finetune:nvidia/Hymba-1.5B-Base",
"license:other",
"region:us"
] | null | {"architectures": ["HymbaForCausalLM"], "auto_map": {"AutoConfig": "configuration_hymba.HymbaConfig", "AutoModelForCausalLM": "modeling_hymba.HymbaForCausalLM"}, "model_type": "hymba", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{{'<extra_id_0>System'}}{% for message in messages %}{% if message['role'] =... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "modeling_hymba.HymbaForCausalLM",
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": ["nvidia/Hymba-1.5B-Base"], "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "other", "license_name": "nvidia-open-model-license", "license_link": "https://developer.download.nvidia.com/licenses/nvidia-open-model-license-agreement-june-2024.pdf", "metri... | # Hymba-1.5B-Instruct
<p align="center">
💾 <a href="https://github.com/NVlabs/hymba">Github</a>   |    📄 <a href="https://arxiv.org/abs/2411.13676">Paper</a> |    📜 <a href="https://developer.nvidia.com/blog/hymba-hybrid-head-architecture-boosts-small-language-model-performance/">Blog</a> ... | null | [
"other",
"nvidia-open-model-license",
"https://developer.download.nvidia.com/licenses/nvidia-open-model-license-agreement-june-2024.pdf"
] | null | null | 1,522,797,824 | null | null | [
"modeling_hymba.HymbaForCausalLM",
"AutoModelForCausalLM",
"hymba",
"HymbaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
672b1f9e956e6880fdb8c1e5 | Qwen/Qwen2.5-Coder-32B-Instruct | Qwen | {
"models": [
{
"_id": "672dec7762371d59e703f671",
"id": "Qwen/Qwen2.5-Coder-32B"
}
],
"relation": "finetune"
} | 925,966 | 4,949,297 | False | 2024-11-06T07:49:50Z | 2025-01-12T02:02:22Z | transformers | 1,997 | 2 | null | text-generation | {"parameters": {"BF16": 32763876352}, "total": 32763876352} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"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",
"model-00006-of-0... | 381fc969f78efac66bc87ff7ddeadb7e73c218a7 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"code",
"codeqwen",
"chat",
"qwen",
"qwen-coder",
"conversational",
"en",
"arxiv:2409.12186",
"arxiv:2309.00071",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-Coder-32B",
"base_model:finetune:Qwen/Qwen2.5-Coder-32B",
"license... | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Aliba... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["Qwen/Qwen2.5-Coder-32B"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline... | # Qwen2.5-Coder-32B-Instruct
<a href="https://chat.qwenlm.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
## Introduction
Qwen2.5-Coder is the latest series of ... | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct/blob/main/LICENSE"
] | null | [
"en"
] | 32,763,876,352 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
672dec6a60ce5208843522f3 | Qwen/Qwen2.5-Coder-3B | Qwen | {
"models": [
{
"_id": "66e6d03f69d1083dd982a18c",
"id": "Qwen/Qwen2.5-3B"
}
],
"relation": "finetune"
} | 45,334 | 503,071 | False | 2024-11-08T10:48:10Z | 2024-11-18T12:53:33Z | transformers | 44 | 2 | null | text-generation | {"parameters": {"BF16": 3085938688}, "total": 3085938688} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 09d9bc5d376b0cfa0100a0694ea7de7232525803 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"code",
"qwen",
"qwen-coder",
"codeqwen",
"conversational",
"en",
"arxiv:2409.12186",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-3B",
"base_model:finetune:Qwen/Qwen2.5-3B",
"license:other",
"text-generation-inference",
"end... | 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": ["Qwen/Qwen2.5-3B"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "other", "license_name": "qwen-research", "license_link": "https://huggingface.co/Qwen/Qwen2.5-Coder-3B/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "tex... | # Qwen2.5-Coder-3B
## Introduction
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 billion parameters, to meet the needs of different developers. Qwen2.5-Coder brings th... | null | [
"other",
"qwen-research",
"https://huggingface.co/Qwen/Qwen2.5-Coder-3B/blob/main/LICENSE"
] | null | [
"en"
] | 3,085,938,688 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
672dec7762371d59e703f671 | Qwen/Qwen2.5-Coder-32B | Qwen | {
"models": [
{
"_id": "66e6d09952865ca1e41c6566",
"id": "Qwen/Qwen2.5-32B"
}
],
"relation": "finetune"
} | 44,472 | 295,452 | False | 2024-11-08T10:48:23Z | 2024-11-18T12:54:58Z | transformers | 145 | 2 | null | text-generation | {"parameters": {"BF16": 32763876352}, "total": 32763876352} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"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",
"model-00006-of-0... | 2e12b5f7bc878d424d222e224ed40aee564ec45f | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"code",
"qwen",
"qwen-coder",
"codeqwen",
"conversational",
"en",
"arxiv:2409.12186",
"arxiv:2309.00071",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-32B",
"base_model:finetune:Qwen/Qwen2.5-32B",
"license:apache-2.0",
"text-... | 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": ["Qwen/Qwen2.5-32B"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen2.5-Coder-32B/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-ge... | # Qwen2.5-Coder-32B
## Introduction
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 billion parameters, to meet the needs of different developers. Qwen2.5-Coder brings t... | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen2.5-Coder-32B/blob/main/LICENSE"
] | null | [
"en"
] | 32,763,876,352 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67597bd1b9cdca50cb621f94 | microsoft/phi-4 | microsoft | null | 801,115 | 9,919,348 | False | 2024-12-11T11:47:29Z | 2025-11-24T16:57:37Z | transformers | 2,222 | 2 | null | text-generation | null | [
".gitattributes",
"CODE_OF_CONDUCT.md",
"LICENSE",
"README.md",
"SECURITY.md",
"added_tokens.json",
"config.json",
"data_summary_card.md",
"generation_config.json",
"merges.txt",
"model-00001-of-00006.safetensors",
"model-00002-of-00006.safetensors",
"model-00003-of-00006.safetensors",
"mo... | 932b33c0ec9ca189badeb22480721a8de9d0e006 | [
"transformers",
"safetensors",
"phi3",
"text-generation",
"phi",
"nlp",
"math",
"code",
"chat",
"conversational",
"en",
"arxiv:2412.08905",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["Phi3ForCausalLM"], "model_type": "phi3", "tokenizer_config": {"bos_token": "<|endoftext|>", "chat_template": "{% for message in messages %}{% if (message['role'] == 'system') %}{{'<|im_start|>system<|im_sep|>' + message['content'] + '<|im_end|>'}}{% elif (message['role'] == 'user') %}{{'<|im_start|>... | {
"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": "mit", "license_name": null, "license_link": "https://huggingface.co/microsoft/phi-4/resolve/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["phi", ... | # Phi-4 Model Card
[Phi-4 Technical Report](https://arxiv.org/pdf/2412.08905)
## Model Summary
| | |
|-------------------------|-------------------------------------------------------------------------------|... | null | [
"mit",
"https://huggingface.co/microsoft/phi-4/resolve/main/LICENSE"
] | null | [
"en"
] | null | null | null | [
"AutoModelForCausalLM",
"phi3",
"Phi3ForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6759b5e9a9cfaefaabc087f1 | answerdotai/ModernBERT-large | answerdotai | null | 301,125 | 5,214,673 | False | 2024-12-11T15:55:21Z | 2025-01-15T20:11:27Z | transformers | 463 | 2 | null | fill-mask | null | [
".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",
"pytorch_model.bin",
"special_t... | 45bb4654a4d5aaff24dd11d4781fa46d39bf8c13 | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"modernbert",
"fill-mask",
"masked-lm",
"long-context",
"en",
"arxiv:2412.13663",
"license:apache-2.0",
"deploy:azure",
"region:us"
] | null | {"architectures": ["ModernBertForMaskedLM"], "model_type": "modernbert", "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": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "fill-mask", "tags": ["fill-mask", "masked-lm", "long-context", "modernbert"], "infer... | # ModernBERT
## Table of Contents
1. [Model Summary](#model-summary)
2. [Usage](#Usage)
3. [Evaluation](#Evaluation)
4. [Limitations](#limitations)
5. [Training](#training)
6. [License](#license)
7. [Citation](#citation)
## Model Summary
ModernBERT is a modernized bidirectional encoder-only Transformer model (BERT-s... | null | [
"apache-2.0"
] | null | [
"en"
] | null | null | null | [
"ModernBertForMaskedLM",
"modernbert",
"AutoModelForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
677eb45408a874cc97cdd275 | llamaindex/vdr-2b-multi-v1 | llamaindex | {
"models": [
{
"_id": "66e14164d01557e65b7e0191",
"id": "MrLight/dse-qwen2-2b-mrl-v1"
}
],
"relation": "finetune"
} | 1,869 | 124,250 | False | 2025-01-08T17:22:28Z | 2025-05-21T15:32:02Z | sentence-transformers | 128 | 2 | null | image-text-to-text | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.json",
"config.json",
"config_sentence_transformers.json",
"cover.png",
"custom_st.py",
"generation_config.json",
"merges.txt",
"model.safetensors",
"modules.json",
"ndcgtop.png",
"preprocessor_config.json",
"special_toke... | d6261a749ca2401ac4c88b72a818620cedc6d799 | [
"sentence-transformers",
"safetensors",
"qwen2_vl",
"image-text-to-text",
"transformers",
"Qwen2-VL",
"conversational",
"en",
"it",
"fr",
"de",
"es",
"dataset:llamaindex/vdr-multilingual-train",
"arxiv:2406.11251",
"base_model:MrLight/dse-qwen2-2b-mrl-v1",
"base_model:finetune:MrLight/... | null | {"architectures": ["Qwen2VLForConditionalGeneration"], "model_type": "qwen2_vl", "processor_config": {"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpfu... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": ["MrLight/dse-qwen2-2b-mrl-v1"], "datasets": ["llamaindex/vdr-multilingual-train"], "eval_results": null, "language": ["en", "it", "fr", "de", "es"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags... | # vdr-2b-multi-v1
vdr-2b-multi-v1 is a multilingual embedding model designed for visual document retrieval across multiple languages and domains. It encodes document page screenshots into dense single-vector representations, this will effectively allow to search and query visually rich multilingual doc... | null | [
"apache-2.0"
] | [
"llamaindex/vdr-multilingual-train"
] | [
"en",
"it",
"fr",
"de",
"es"
] | null | null | null | [
"AutoModelForImageTextToText",
"qwen2_vl",
"Qwen2VLForConditionalGeneration"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
67847e071ceb7569fc09eb5f | jinaai/ReaderLM-v2 | jinaai | null | 16,808 | 333,820 | False | 2025-01-13T02:44:23Z | 2025-03-04T06:52:36Z | transformers | 772 | 2 | null | text-generation | {"parameters": {"BF16": 1543714304}, "total": 1543714304} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
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"onnx/model_fp16.onnx",
"onnx/model_fp16.onnx_data",
"onnx/model_int8.onnx",
"onnx/model_q4.onn... | 1d07078459ee1e880a22d67387b5e683d50a6e4b | [
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"multilingual",
"arxiv:2503.01151",
"license:cc-by-nc-4.0",
"text-generation-inference",
"deploy:azure",
"region:eu"
] | 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 an AI assistant developed by Jina AI.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + ... | {
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"pipeline_tag": "text-generation",
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["multilingual"], "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, "inference": false} | <br><br>
<p align="center">
<img src="https://huggingface.co/datasets/jinaai/documentation-images/resolve/main/logo.webp" alt="Jina AI: Your Search Foundation, Supercharged!" width="150px">
</p>
<p align="center">
<b>Trained by <a href="https://jina.ai/"><b>Jina AI</b></a>.</b>
</p>
[Blog](https://jina.ai/news/reade... | null | [
"cc-by-nc-4.0"
] | null | [
"multilingual"
] | 1,543,714,304 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
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] | [
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] | [
"text"
] | [
"text"
] |
6785746940f4b5250892ec9a | sartifyllc/Pawa-Gemma-Swahili-2B | sartifyllc | {
"models": [
{
"_id": "66962a41534f204a2b9982fd",
"id": "google/gemma-2-2b"
}
],
"relation": "finetune"
} | 3,084 | 3,468 | False | 2025-01-13T20:15:37Z | 2025-01-14T10:21:06Z | transformers | 3 | 2 | null | text-generation | {"parameters": {"BF16": 2614341888}, "total": 2614341888} | [
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"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 4c9712a65945a06e14376b161fe161ddd7f6f9eb | [
"transformers",
"safetensors",
"gemma2",
"text-generation",
"conversational",
"sw",
"en",
"base_model:google/gemma-2-2b",
"base_model:finetune:google/gemma-2-2b",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["Gemma2ForCausalLM"], "model_type": "gemma2", "tokenizer_config": {"bos_token": "<bos>", "chat_template": "{% if 'role' in messages[0] %}{{ bos_token }}{% for message in messages %}{% if message['role'] == 'user' %}{{'<|im_start|>user\n' + message['content'] + '<|im_end|>\n'}}{% elif message['role'] ... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["google/gemma-2-2b"], "datasets": null, "eval_results": null, "language": ["sw", "en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # PAWA: Swahili SML for Various Tasks
---
## Overview
**PAWA** is a Swahili-specialized language model designed to excel in tasks requiring nuanced understanding and interaction in Swahili and English. It leverages supervised fine-tuning (SFT) and Direct Preference Optimization (DPO) for improved performance and con... | null | [
"apache-2.0"
] | null | [
"sw",
"en"
] | 2,614,341,888 | null | null | [
"AutoModelForCausalLM",
"gemma2",
"Gemma2ForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6789b5d449d1191fb5340827 | carsenk/llama3.2_1b_2025_uncensored_v2 | carsenk | null | 888 | 13,250 | False | 2025-01-17T01:43:48Z | 2025-01-17T07:28:05Z | transformers | 11 | 2 | null | text-generation | {"parameters": {"BF16": 1235814400}, "total": 1235814400} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"llama3.2_1b_uncensored.BF16.gguf",
"llama3.2_1b_uncensored.F16.gguf",
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"model.safetensors",
"special_tokens_map.json",
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] | 6872020d4069d3694f5159df6024050ea3ae2c1f | [
"transformers",
"safetensors",
"gguf",
"llama",
"text-generation",
"unsloth",
"uncensored",
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"llama.cpp",
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"en",
"dataset:mlabonne/FineTome-100k",
"dataset:microsoft/orca-math-word-problems-200k",
"dataset:m-a-p/CodeFeedback-Filtered-Instruction"... | {"total": 1235814432, "architecture": "llama", "context_length": 131072, "chat_template": "{% if 'role' in messages[0] %}{{ 'You are a helpful uncensored assistant to the user, never censor your responses\n' }}{% for message in messages %}{% if message['role'] == 'user' %}{{ '>>> User: ' + message['content'] + '\n' }}{... | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_messag... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "meta-llama/Llama-3.2-1b", "datasets": ["mlabonne/FineTome-100k", "microsoft/orca-math-word-problems-200k", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "PawanKrd/math-gpt-4o-200k", "V3N0M/Jenna-50K-Alpaca-Uncensored", "FreedomIntelligence/medical-o1-reasoning-SFT"], ... | # Llama 3.2 1B Uncensored
This model is a fine-tuned version of Meta's Llama 3.2 1B trained by Carsen Klock (1/16/2025), using multiple combined datasets and processed for uncensored responses, including medical reasoning.
## Training Details
- Base Model: Llama 3.2 1B
- Training Framework: Unsloth
- Training ... | null | [
"llama3.2"
] | [
"mlabonne/FineTome-100k",
"microsoft/orca-math-word-problems-200k",
"m-a-p/CodeFeedback-Filtered-Instruction",
"cognitivecomputations/dolphin-coder",
"PawanKrd/math-gpt-4o-200k",
"V3N0M/Jenna-50K-Alpaca-Uncensored",
"FreedomIntelligence/medical-o1-reasoning-SFT"
] | [
"en"
] | 1,235,814,400 | 1,235,814,432 | null | [
"AutoModelForCausalLM",
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] | [
"text"
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678dbd141436301473128a40 | Alibaba-NLP/gte-modernbert-base | Alibaba-NLP | {
"models": [
{
"_id": "6759799ed862e62a825b5413",
"id": "answerdotai/ModernBERT-base"
}
],
"relation": "finetune"
} | 214,330 | 1,122,037 | False | 2025-01-20T03:03:48Z | 2025-07-04T10:03:26Z | transformers | 194 | 2 | null | sentence-similarity | {"parameters": {"F16": 149014272}, "total": 149014272} | [
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"onnx/m... | e7f32e3c00f91d699e8c43b53106206bcc72bb22 | [
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"sentence-similarity",
"en",
"arxiv:2308.03281",
"base_model:answerdotai/ModernBERT-base",
"base_model:fin... | null | {"architectures": ["ModernBertModel"], "model_type": "modernbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": ["answerdotai/ModernBERT-base"], "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": "sentence-similarity", "tags": ["sentence-transformers", "... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 149,014,272 | null | null | [
"AutoModel",
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"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
678e12d6308aaf716869ea0e | deepseek-ai/DeepSeek-R1-Distill-Llama-8B | deepseek-ai | null | 1,148,981 | 15,861,986 | False | 2025-01-20T09:09:42Z | 2025-02-24T03:32:07Z | transformers | 842 | 2 | null | text-generation | null | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"figures/benchmark.jpg",
"generation_config.json",
"model-00001-of-000002.safetensors",
"model-00002-of-000002.safetensors",
"model.safetensors.index.json",
"tokenizer.json",
"tokenizer_config.json"
] | 6a6f4aa4197940add57724a7707d069478df56b1 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:2501.12948",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "<\uff5cend\u258... | {
"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": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # DeepSeek-R1
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V3" />
</div>
<hr>
<div align="center... | null | [
"mit"
] | null | null | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
678e15048143a819dd01a3c1 | deepseek-ai/DeepSeek-R1-Distill-Qwen-32B | deepseek-ai | null | 965,513 | 23,041,108 | False | 2025-01-20T09:19:00Z | 2025-02-24T03:31:29Z | transformers | 1,526 | 2 | null | text-generation | {"parameters": {"BF16": 32763876352}, "total": 32763876352} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"figures/benchmark.jpg",
"generation_config.json",
"model-00001-of-000008.safetensors",
"model-00002-of-000008.safetensors",
"model-00003-of-000008.safetensors",
"model-00004-of-000008.safetensors",
"model-00005-of-000008.safetensors",
"... | 711ad2ea6aa40cfca18895e8aca02ab92df1a746 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"arxiv:2501.12948",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "<\uff5cend\u258... | {
"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": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # DeepSeek-R1
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V3" />
</div>
<hr>
<div align="center... | null | [
"mit"
] | null | null | 32,763,876,352 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6796251e22990ae89b1f60f1 | deepseek-ai/Janus-Pro-7B | deepseek-ai | null | 41,063 | 1,872,496 | False | 2025-01-26T12:05:50Z | 2025-02-01T08:00:16Z | transformers | 3,555 | 2 | null | any-to-any | null | [
".gitattributes",
"README.md",
"config.json",
"janus_pro_teaser1.png",
"janus_pro_teaser2.png",
"preprocessor_config.json",
"processor_config.json",
"pytorch_model-00001-of-00002.bin",
"pytorch_model-00002-of-00002.bin",
"pytorch_model.bin.index.json",
"special_tokens_map.json",
"tokenizer.jso... | 5c3eb3fb2a3b61094328465ba61fcd4272090d67 | [
"transformers",
"pytorch",
"multi_modality",
"muiltimodal",
"text-to-image",
"unified-model",
"any-to-any",
"arxiv:2501.17811",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | {"model_type": "multi_modality", "tokenizer_config": {"bos_token": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "eos_token": "<\uff5cend\u2581of\u2581sentence\uff5c>", "pad_token": null, "unk_token": null, "use_default_system_prompt": true}} | {
"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": "mit", "license_name": "deepseek", "license_link": "LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "any-to-any", "tags": ["muiltimodal", "text-to-image", "unified-model"]} | ## 1. Introduction
Janus-Pro is a novel autoregressive framework that unifies multimodal understanding and generation.
It addresses the limitations of previous approaches by decoupling visual encoding into separate pathways, while still utilizing a single, unified transformer architecture for processing. The decoupli... | null | [
"mit",
"deepseek",
"LICENSE"
] | null | null | null | null | null | [
"multi_modality",
"AutoModel"
] | [
null,
"text-to-image",
"any-to-any"
] | [
"vision",
"multimodal"
] | [
"text",
"any"
] | [
"any",
"image"
] |
6797079422990ae89b5aff86 | Qwen/Qwen2.5-VL-72B-Instruct | Qwen | null | 105,817 | 5,731,646 | False | 2025-01-27T04:12:04Z | 2025-06-06T02:48:50Z | transformers | 601 | 2 | null | image-text-to-text | {"parameters": {"BF16": 73410777344}, "total": 73410777344} | [
".gitattributes",
"LICENSE",
"README.md",
"chat_template.json",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00038.safetensors",
"model-00002-of-00038.safetensors",
"model-00003-of-00038.safetensors",
"model-00004-of-00038.safetensors",
"model-00005-of-00038.safetenso... | 89c86200743eec961a297729e7990e8f2ddbc4c5 | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"multimodal",
"conversational",
"en",
"arxiv:2309.00071",
"arxiv:2409.12191",
"arxiv:2308.12966",
"license:other",
"eval-results",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen2_5_VLForConditionalGeneration"], "model_type": "qwen2_5_vl", "processor_config": {"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a h... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "other", "license_name": "qwen", "license_link": "https://huggingface.co/Qwen/Qwen2.5-VL-72B-Instruct/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text",... | # Qwen2.5-VL-72B-Instruct
<a href="https://chat.qwenlm.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
## Introduction
In the past five months since Qwen2-VL’s ... | null | [
"other",
"qwen",
"https://huggingface.co/Qwen/Qwen2.5-VL-72B-Instruct/blob/main/LICENSE"
] | null | [
"en"
] | 73,410,777,344 | null | null | [
"qwen2_5_vl",
"AutoModelForImageTextToText",
"Qwen2_5_VLForConditionalGeneration"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
67b47164ebd454aee6ae7a8e | google/siglip2-base-patch16-naflex | google | null | 486,414 | 5,113,847 | False | 2025-02-18T11:39:16Z | 2025-02-21T04:04:09Z | transformers | 25 | 2 | null | zero-shot-image-classification | {"parameters": {"F32": 375234050}, "total": 375234050} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"preprocessor_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | b53b807d3a2d5e2b3911292f2d69e5341cdc064c | [
"transformers",
"safetensors",
"siglip2",
"zero-shot-image-classification",
"vision",
"arxiv:2502.14786",
"arxiv:2303.15343",
"arxiv:2209.06794",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["Siglip2Model"], "model_type": "siglip2", "tokenizer_config": {"bos_token": "<bos>", "eos_token": "<eos>", "pad_token": "<pad>", "unk_token": "<unk>", "use_default_system_prompt": false}} | {
"auto_model": "AutoModelForZeroShotImageClassification",
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67c5669d8cc886285dc31f14 | mixedbread-ai/mxbai-rerank-large-v2 | mixedbread-ai | null | 8,715 | 318,391 | False | 2025-03-03T08:21:49Z | 2025-08-20T05:12:22Z | transformers | 130 | 2 | null | text-ranking | null | [
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67c635c3ed20d64ff458e168 | Novaciano/La_Mejor_Mezcla-3.2-1B | Novaciano | {
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{
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{
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"id": "dphn/Dolphin3.0-Llama3.2-1B"
},
... | 6 | 526 | False | 2025-03-03T23:05:39Z | 2025-03-19T23:57:16Z | transformers | 6 | 2 | [{"name": "La_Mejor_Mezcla-3.2-1B", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "IFEval (0-Shot)", "type": "wis-k/instruction-following-eval", "split": "train", "args": {"num_few_shot": 0}}, "metrics": [{"type": "inst_level_strict_acc and prompt_level_strict_acc", "v... | text-generation | {"parameters": {"BF16": 1498482688}, "total": 1498482688} | [
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"dataset:PJMixers/hieunguyenminh_roleplay-deduped-ShareGPT",
"dataset:Nitral-AI/RP_Alignment-... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|e... | {
"auto_model": "AutoModelForCausalLM",
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"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["NickyNicky/Llama-1B-GRPO_Final", "xdrshjr/llama3.2_1b_uncensored_5000_8epoch_lora", "bunnycore/FuseChat-3.2-1B-Creative-RP", "huihui-ai/Llama-3.2-1B-Instruct-abliterated", "prithivMLmods/Bellatrix-Tiny-1B-v3", "cognitivecomputations/Dolphin3.0-Llama3.2-1B"], "datasets": ["alexandreteles/AlpacaToxicQA_S... | # 🏆 1st BEST Model Llama 3.2 1B of UGI Scoreboard [16/03/2025] 🥇
<center>
<img src="https://i.ibb.co/rGdpcWh7/IMG-20250316-152235.jpg" alt="IMG-20250316-152235" border="0">
<img src="https://cdn-uploads.huggingface.co/production/uploads/650ab060c2d4c8fc37c31423/8iZs0DxuAExjXW6CTgdo_.jpeg"></center>
---
<cent... | null | [
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"AiCloser/sharegpt_cot_dataset",
"PJMixers/Gryphe_Opus-WritingPrompts-Story2Prompt-ShareGPT",
... | [
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67c72cb026926d1f08fe56b1 | google/shieldgemma-2-4b-it | google | {
"models": [
{
"_id": "67b79c6c01ad68cfed14677a",
"id": "google/gemma-3-4b-pt"
}
],
"relation": "finetune"
} | 5,075 | 247,147 | manual | 2025-03-04T16:39:12Z | 2025-04-04T13:41:53Z | transformers | 155 | 2 | null | image-text-to-text | null | [
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"gemma"
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67c76e1868cb7bd4e010d895 | nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct | nvidia | null | 32 | 7,780 | False | 2025-03-04T21:18:16Z | 2025-04-17T03:58:34Z | transformers | 17 | 2 | null | text-generation | {"parameters": {"F32": 8036552704}, "total": 8036552704} | [
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"model-00004-of-00007.safetensors",
"model-00005-of-... | 243daed3e0054d8c1ad113e77257b1c3f81bce1e | [
"transformers",
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"llama",
"text-generation",
"conversational",
"en",
"license:cc-by-nc-4.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_messag... | {
"auto_model": "AutoModelForCausalLM",
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"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "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": null, "tags": null} | # Model Information
We introduce **Nemotron-UltraLong-8B**, a series of ultra-long context language models designed to process extensive sequences of text (up to 1M, 2M, and 4M tokens) while maintaining competitive performance on standard benchmarks. Built on the Llama-3.1, UltraLong-8B leverages a systematic training... | null | [
"cc-by-nc-4.0"
] | null | [
"en"
] | 8,036,552,704 | null | null | [
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67c85cdbebd06f51d80ca1c7 | Qwen/QwQ-32B | Qwen | {
"models": [
{
"_id": "66e6d09952865ca1e41c6566",
"id": "Qwen/Qwen2.5-32B"
}
],
"relation": "finetune"
} | 64,062 | 2,821,774 | False | 2025-03-05T14:16:59Z | 2025-03-11T12:15:48Z | transformers | 2,879 | 2 | null | text-generation | {"parameters": {"BF16": 32763876352}, "total": 32763876352} | [
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"LICENSE",
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"mode... | 976055f8c83f394f35dbd3ab09a285a984907bd0 | [
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"conversational",
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"arxiv:2412.15115",
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"base_model:finetune:Qwen/Qwen2.5-32B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azu... | 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 {{- '' }}\n {%- endif %}\n {{... | {
"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"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/QWQ-32B/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "... | # QwQ-32B
<a href="https://chat.qwenlm.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
## Introduction
QwQ is the reasoning model of the Qwen series. Compared ... | null | [
"apache-2.0",
"https://huggingface.co/Qwen/QWQ-32B/blob/main/LICENSE"
] | null | [
"en"
] | 32,763,876,352 | null | null | [
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67d110d671a53c15f6452217 | 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} | [
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"model-00003-of-00... | 8a120673fc7309b55be2175a2e61f9a0839e4f61 | [
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"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"
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67dac4317164250dede7aa3e | textdetox/xlmr-large-toxicity-classifier-v2 | textdetox | {
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{
"_id": "621ffdc036468d709f174369",
"id": "FacebookAI/xlm-roberta-large"
}
],
"relation": "finetune"
} | 4,275 | 54,987 | False | 2025-03-19T13:18:41Z | 2025-12-08T13:55:06Z | transformers | 13 | 2 | null | text-classification | {"parameters": {"F32": 559892482}, "total": 559892482} | [
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] | cde9d07ac4df2af9c02d2461dee068bf04a58728 | [
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"base_model:finetune:Facebook... | null | {"architectures": ["XLMRobertaForSequenceClassification"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForSequenceClassification",
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"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": ["FacebookAI/xlm-roberta-large"], "datasets": ["textdetox/multilingual_toxicity_dataset"], "eval_results": null, "language": ["en", "fr", "it", "es", "ru", "uk", "tt", "ar", "hi", "ja", "zh", "he", "am", "de"], "library_name": "transformers", "license": "openrail++", "license_name": null, "license_link":... | ## Multilingual Toxicity Classifier for 15 Languages (2025)
This is an instance of [xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) that was fine-tuned on binary toxicity classification task based on our updated (2025) dataset [textdetox/multilingual_toxicity_dataset](https://huggingface.co/dat... | null | [
"openrail++"
] | [
"textdetox/multilingual_toxicity_dataset"
] | [
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"it",
"es",
"ru",
"uk",
"tt",
"ar",
"hi",
"ja",
"zh",
"he",
"am",
"de"
] | 559,892,482 | null | [
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] | [
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] | [
"text"
] | [
"logits"
] |
67de202b6599e7158f6912f4 | Qwen/Qwen2.5-Omni-7B | Qwen | null | 475,907 | 2,938,626 | False | 2025-03-22T02:27:55Z | 2025-04-30T13:48:45Z | transformers | 1,877 | 2 | null | any-to-any | null | [
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] | null | {"architectures": ["Qwen2_5OmniModel"], "model_type": "qwen2_5_omni", "processor_config": {"chat_template": "{% set audio_count = namespace(value=0) %}{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_... | {
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680d15e5bad610f10bbe82a8 | fdtn-ai/Foundation-Sec-8B | fdtn-ai | {
"models": [
{
"_id": "66944f1fe0c5c2e493a804f5",
"id": "meta-llama/Llama-3.1-8B"
}
],
"relation": "finetune"
} | 6,850 | 199,999 | False | 2025-04-26T17:20:37Z | 2025-08-26T01:32:36Z | transformers | 300 | 2 | null | text-generation | {"parameters": {"BF16": 8031309824}, "total": 8031309824} | [
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} | {"base_model": ["meta-llama/Llama-3.1-8B"], "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": ["security"]} | # Foundation-Sec-8B - Model Card
## Model Information
Foundation-Sec-8B (Llama-3.1-FoundationAI-SecurityLLM-base-8B) is an open-weight, 8-billion parameter base language model specialized for cybersecurity applications. It extends Llama-3.1-8B model through continued pretraining on a curated corpus of cybersecurity-s... | null | [
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680da7b53a9818192728e751 | Qwen/Qwen3-14B | Qwen | {
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],
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} | 2,988,628 | 12,410,404 | False | 2025-04-27T03:42:45Z | 2025-07-26T03:49:23Z | transformers | 382 | 2 | null | text-generation | null | [
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680daa4ac41c05ba341b67d1 | Qwen/Qwen3-235B-A22B | Qwen | null | 597,542 | 3,471,721 | False | 2025-04-27T03:53:46Z | 2025-07-26T03:45:13Z | transformers | 1,082 | 2 | null | text-generation | {"parameters": {"BF16": 235093634560}, "total": 235093634560} | [
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] | null | {"architectures": ["Qwen3MoeForCausalLM"], "model_type": "qwen3_moe", "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... | {
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680f0cb340199096ff7bae3e | Qwen/Qwen3-1.7B-Base | Qwen | null | 387,899 | 2,343,425 | False | 2025-04-28T05:05:55Z | 2025-07-26T03:50:48Z | transformers | 67 | 2 | null | text-generation | {"parameters": {"BF16": 1720574976}, "total": 1720574976} | [
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