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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
678a79e88b0ce22ae8998bf2 | HuggingFaceTB/SmolVLM-256M-Instruct | HuggingFaceTB | {
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{
"_id": "672388f6e1133cff79766318",
"id": "HuggingFaceTB/SmolLM2-135M-Instruct"
}
],
"relation": "quantized"
} | 308,787 | 3,154,299 | False | 2025-01-17T15:40:24Z | 2025-04-08T21:39:50Z | transformers | 345 | 1 | null | image-text-to-text | {"parameters": {"BF16": 256484928}, "total": 256484928} | [
".gitattributes",
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"onnx/decoder_model_merged_bnb4.onnx",
"onnx/decoder_model_merged_fp16.onnx",
"onnx/decoder_model_merged_int8.... | 7e3e67edbbed1bf9888184d9df282b700a323964 | [
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"onnx",
"safetensors",
"idefics3",
"image-text-to-text",
"conversational",
"en",
"dataset:HuggingFaceM4/the_cauldron",
"dataset:HuggingFaceM4/Docmatix",
"arxiv:2504.05299",
"base_model:HuggingFaceTB/SmolLM2-135M-Instruct",
"base_model:quantized:HuggingFaceTB/SmolLM2-135M-Instru... | null | {"architectures": ["Idefics3ForConditionalGeneration"], "model_type": "idefics3", "processor_config": {"chat_template": "<|im_start|>{% for message in messages %}{{message['role'] | capitalize}}{% if message['content'][0]['type'] == 'image' %}{{':'}}{% else %}{{': '}}{% endif %}{% for line in message['content'] %}{% if... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": ["HuggingFaceTB/SmolLM2-135M-Instruct", "google/siglip-base-patch16-512"], "datasets": ["HuggingFaceM4/the_cauldron", "HuggingFaceM4/Docmatix"], "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, ... | <img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/SmolVLM_256_banner.png" width="800" height="auto" alt="Image description">
# SmolVLM-256M
SmolVLM-256M is the smallest multimodal model in the world. It accepts arbitrary sequences of image and text inputs to produce text outputs.... | null | [
"apache-2.0"
] | [
"HuggingFaceM4/the_cauldron",
"HuggingFaceM4/Docmatix"
] | [
"en"
] | 256,484,928 | null | null | [
"AutoModelForImageTextToText",
"Idefics3ForConditionalGeneration",
"idefics3"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
678c09727967054e64354624 | lnstagram/NeuroSama-0.5b-gguf | lnstagram | {
"models": [
{
"_id": "6744a049ccb35eeb3eedafe6",
"id": "huihui-ai/Qwen2.5-0.5B-Instruct-abliterated"
}
],
"relation": "quantized"
} | 29 | 825 | False | 2025-01-18T20:05:06Z | 2025-03-06T01:25:13Z | transformers | 3 | 1 | null | null | null | [
".gitattributes",
"README.md",
"adapter_config.json",
"adapter_model.safetensors",
"added_tokens.json",
"config.json",
"merges.txt",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"unsloth.Q4_K_M.gguf",
"unsloth.Q5_K_M.gguf",
"unsloth.Q8_0.gguf",
"vocab.json"
] | a7173cdda4d9c50763db78875c31639b3a99fe62 | [
"transformers",
"safetensors",
"gguf",
"qwen2",
"text-generation-inference",
"unsloth",
"trl",
"neurosama",
"streamer",
"en",
"base_model:huihui-ai/Qwen2.5-0.5B-Instruct-abliterated",
"base_model:quantized:huihui-ai/Qwen2.5-0.5B-Instruct-abliterated",
"license:apache-2.0",
"endpoints_compa... | {"total": 494032768, "architecture": "qwen2", "context_length": 32768, "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 Alibaba Cloud. You are a helpful assi... | {"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 Alibaba Cloud. You are a helpful assistant.'... | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": null,
"processor": null
} | {"base_model": "huihui-ai/Qwen2.5-0.5B-Instruct-abliterated", "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", "transform... | Trained by Lin.
Dataset provided by [neifuisan](https://huggingface.co/datasets/neifuisan/Neuro-sama-QnA) | null | [
"apache-2.0"
] | null | [
"en"
] | null | 494,032,768 | null | [
"AutoModel",
"qwen2"
] | [
null
] | null | null | null |
678de32a08277d61535e073c | Alibaba-NLP/gte-reranker-modernbert-base | Alibaba-NLP | {
"models": [
{
"_id": "6759799ed862e62a825b5413",
"id": "answerdotai/ModernBERT-base"
}
],
"relation": "finetune"
} | 924,983 | 4,919,160 | False | 2025-01-20T05:46:18Z | 2025-07-04T10:03:42Z | transformers | 88 | 1 | null | text-ranking | {"parameters": {"F32": 149605633}, "total": 149605633} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"onnx/model.onnx",
"onnx/model_bnb4.onnx",
"onnx/model_fp16.onnx",
"onnx/model_int8.onnx",
"onnx/model_q4.onnx",
"onnx/model_q4f16.onnx",
"onnx/model_quantized.onnx",
"onnx/model_uint8.onnx",
"special_tokens_map.json",
"tok... | f7481e6055501a30fb19d090657df9ec1f79ab2c | [
"transformers",
"onnx",
"safetensors",
"modernbert",
"text-classification",
"sentence-transformers",
"transformers.js",
"text-embeddings-inference",
"text-ranking",
"en",
"arxiv:2308.03281",
"base_model:answerdotai/ModernBERT-base",
"base_model:finetune:answerdotai/ModernBERT-base",
"licen... | null | {"architectures": ["ModernBertForSequenceClassification"], "model_type": "modernbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": ["answerdotai/ModernBERT-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": "text-ranking", "tags": ["sentence-transformers", "transfo... | null | null | [
"apache-2.0"
] | null | [
"en"
] | 149,605,633 | null | null | [
"ModernBertForSequenceClassification",
"modernbert",
"AutoModelForSequenceClassification"
] | [
"text-ranking",
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
678eb1cf4317d5f0d0398bbd | Valdemardi/DeepSeek-R1-Distill-Llama-70B-AWQ | Valdemardi | {
"models": [
{
"_id": "678e13bdda686d5964869153",
"id": "deepseek-ai/DeepSeek-R1-Distill-Llama-70B"
}
],
"relation": "quantized"
} | 3,742 | 103,344 | False | 2025-01-20T20:27:59Z | 2025-01-20T20:27:59Z | transformers | 20 | 1 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"figures/benchmark.jpg",
"generation_config.json",
"model-00001-of-00009.safetensors",
"model-00002-of-00009.safetensors",
"model-00003-of-00009.safetensors",
"model-00004-of-00009.safetensors",
"model-00005-of-00009.safetensors",
"model-00006-of-000... | ebfea7be35ca86beee303282386399416205c306 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"base_model:deepseek-ai/DeepSeek-R1-Distill-Llama-70B",
"base_model:quantized:deepseek-ai/DeepSeek-R1-Distill-Llama-70B",
"license:llama3.3",
"text-generation-inference",
"endpoints_compatible",
"4-bit",
"awq",
"dep... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"bits": 4, "quant_method": "awq"}, "tokenizer_config": {"bos_token": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["deepseek-ai/DeepSeek-R1-Distill-Llama-70B"], "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "llama3.3", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null, "base_model_relation": "quan... | # DeepSeek-R1
## Quantization Details
This quantized model was created using AutoAWQ version 0.2.8 with `quant_config`:
```
{
"zero_point": True,
"q_group_size": 128,
"w_bit": 4,
"version": "GEMM"
}
```
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable n... | null | [
"llama3.3"
] | null | null | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67970b048bed6b676e96fc4c | llm-jp/llm-jp-3-150m | llm-jp | null | 2,017 | 22,467 | False | 2025-01-27T04:26:44Z | 2025-02-04T04:53:27Z | transformers | 4 | 1 | null | text-generation | {"parameters": {"BF16": 152318464}, "total": 152318464} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | b112feef602fff752e4dac4c30af6a2c2fa41c7a | [
"transformers",
"safetensors",
"llama",
"text-generation",
"en",
"ja",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "<PAD|LLM-jp>", "cls_token": "<CLS|LLM-jp>", "sep_token": "<SEP|LLM-jp>", "mask_token": "<MASK|LLM-jp>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en", "ja"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": null, "programming_language": ["C", "C++", "C#", "Go... | # llm-jp-3-150m
LLM-jp-3 is the series of large language models developed by the [Research and Development Center for Large Language Models](https://llmc.nii.ac.jp/) at the [National Institute of Informatics](https://www.nii.ac.jp/en/).
This repository provides **llm-jp-3-150m** model.
For an overview of the LLM-jp-3... | null | [
"apache-2.0"
] | null | [
"en",
"ja"
] | 152,318,464 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67970d9b9675486200e945a6 | llm-jp/llm-jp-3-980m | llm-jp | null | 210 | 13,554 | False | 2025-01-27T04:37:47Z | 2025-02-04T04:56:59Z | transformers | 4 | 1 | null | text-generation | {"parameters": {"BF16": 990180864}, "total": 990180864} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 37f7893701e0e872c1c65c28cde2f55e6dcfe28c | [
"transformers",
"safetensors",
"llama",
"text-generation",
"en",
"ja",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "<PAD|LLM-jp>", "cls_token": "<CLS|LLM-jp>", "sep_token": "<SEP|LLM-jp>", "mask_token": "<MASK|LLM-jp>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en", "ja"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": null, "programming_language": ["C", "C++", "C#", "Go... | # llm-jp-3-980m
LLM-jp-3 is the series of large language models developed by the [Research and Development Center for Large Language Models](https://llmc.nii.ac.jp/) at the [National Institute of Informatics](https://www.nii.ac.jp/en/).
This repository provides **llm-jp-3-980m** model.
For an overview of the LLM-jp-3... | null | [
"apache-2.0"
] | null | [
"en",
"ja"
] | 990,180,864 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
679a715046f65a2492239b5a | remyxai/SpaceQwen2.5-VL-3B-Instruct | remyxai | {
"models": [
{
"_id": "6795ff8f7534713f94918fc5",
"id": "Qwen/Qwen2.5-VL-3B-Instruct"
}
],
"relation": "quantized"
} | 835 | 150,229 | False | 2025-01-29T18:20:00Z | 2025-06-28T02:12:23Z | transformers | 18 | 1 | [{"name": "SpaceQwen2.5-VL-3B-Instruct", "results": [{"task": {"type": "visual-question-answering", "name": "Spatial Reasoning"}, "dataset": {"name": "3DSRBench", "type": "benchmark"}, "metrics": [{"type": "success_rate", "name": "Overall Success Rate", "value": 0.515, "verified": false}], "results_by_subcategory": [{"... | image-text-to-text | {"parameters": {"F16": 3754622976}, "total": 3754622976} | [
".gitattributes",
"LICENSE",
"README.md",
"SpaceQwen2.5-VL-3B-Instruct-F16.gguf",
"added_tokens.json",
"assets/SpaceLLaVA.pdf",
"chat_template.json",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetens... | 332ff3fbc40d0e62af64b1bd2e0a606b3cca028e | [
"transformers",
"safetensors",
"gguf",
"qwen2_5_vl",
"image-text-to-text",
"remyx",
"vqasynth",
"spatial-reasoning",
"multimodal",
"vlm",
"vision-language",
"robotics",
"distance-estimation",
"embodied-ai",
"quantitative-spatial-reasoning",
"conversational",
"en",
"dataset:remyxai/... | {"total": 3085938688, "architecture": "qwen2vl", "context_length": 128000, "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.' }}\n {%- endif %}\n {{... | {"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": ["Qwen/Qwen2.5-VL-3B-Instruct"], "datasets": ["remyxai/OpenSpaces"], "language": ["en"], "library_name": "transformers", "license_name": "qwen-research", "license_link": "https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct/blob/main/LICENSE", "pipeline_tag": "image-text-to-text", "tags": ["remyx", "vqasyn... | null | null | [
"qwen-research",
"https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct/blob/main/LICENSE"
] | [
"remyxai/OpenSpaces"
] | [
"en"
] | 3,754,622,976 | 3,085,938,688 | null | [
"qwen2_5_vl",
"AutoModelForImageTextToText",
"qwen2vl",
"Qwen2_5_VLForConditionalGeneration"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
679dbbf95d1576319bf508ed | huihui-ai/Mistral-Small-24B-Instruct-2501-abliterated | huihui-ai | {
"models": [
{
"_id": "6798dbe54a10be7109f954f2",
"id": "mistralai/Mistral-Small-24B-Instruct-2501"
}
],
"relation": "finetune"
} | 1,402 | 11,833 | False | 2025-02-01T06:15:21Z | 2025-02-02T12:30:07Z | vllm | 32 | 1 | null | text-generation | null | [
".gitattributes",
"README.md",
"SYSTEM_PROMPT.txt",
"config.json",
"generation_config.json",
"model-00001-of-00010.safetensors",
"model-00002-of-00010.safetensors",
"model-00003-of-00010.safetensors",
"model-00004-of-00010.safetensors",
"model-00005-of-00010.safetensors",
"model-00006-of-00010.s... | 04d6728a8ecd8236b59f5f91ad7a8b9f3dafa57d | [
"vllm",
"safetensors",
"mistral",
"text-generation",
"abliterated",
"uncensored",
"transformers",
"conversational",
"en",
"fr",
"de",
"es",
"it",
"pt",
"zh",
"ja",
"ru",
"ko",
"base_model:mistralai/Mistral-Small-24B-Instruct-2501",
"base_model:finetune:mistralai/Mistral-Small-2... | 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... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["mistralai/Mistral-Small-24B-Instruct-2501"], "datasets": null, "eval_results": null, "language": ["en", "fr", "de", "es", "it", "pt", "zh", "ja", "ru", "ko"], "library_name": "vllm", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag"... | # huihui-ai/Mistral-Small-24B-Instruct-2501-abliterated
This is an uncensored version of [mistralai/Mistral-Small-24B-Instruct-2501](https://huggingface.co/mistralai/Mistral-Small-24B-Instruct-2501) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-tr... | null | [
"apache-2.0"
] | null | [
"en",
"fr",
"de",
"es",
"it",
"pt",
"zh",
"ja",
"ru",
"ko"
] | null | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67a10670d505b4adc208894c | Black-Ink-Guild/Pernicious_Prophecy_70B | Black-Ink-Guild | {
"models": [
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... | 29 | 24,993 | False | 2025-02-03T18:09:52Z | 2025-02-08T19:29:36Z | transformers | 21 | 1 | null | text-generation | {"parameters": {"BF16": 70553755648}, "total": 70553755648} | [
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67a7ae157dcbef67ccb4e3f6 | HuggingFaceTB/SmolVLM2-2.2B-Instruct | HuggingFaceTB | {
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67a8d2a64adbe24f0add72b2 | tajuarAkash/Health_Insurance_Fraud_detection_using_NLP | tajuarAkash | null | 2 | 7 | False | 2025-02-09T16:07:02Z | 2025-02-09T16:07:29Z | transformers | 1 | 1 | null | text-classification | {"parameters": {"F32": 66955010}, "total": 66955010} | [
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67aa01e7d3e800bfe871243d | linagora/Labess-7b-chat-16bit | linagora | {
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} | 106 | 1,726 | False | 2025-02-10T13:40:55Z | 2025-07-07T09:08:03Z | transformers | 4 | 1 | null | text-generation | {"parameters": {"BF16": 7000559616}, "total": 7000559616} | [
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67aaf6fe385da1f07cd40b05 | HuggingFaceTB/SmolVLM2-500M-Video-Instruct | HuggingFaceTB | {
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}
],
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} | 282,892 | 1,447,765 | False | 2025-02-11T07:06:38Z | 2025-04-08T07:25:40Z | transformers | 124 | 1 | null | image-text-to-text | null | [
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67ae354a41af0df57f4f5f87 | zelk12/MT-Merge6-gemma-2-9B | zelk12 | {
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{
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],
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} | 9 | 490 | False | 2025-02-13T18:09:14Z | 2025-02-13T18:18:49Z | transformers | 3 | 1 | null | text-generation | {"parameters": {"BF16": 10159209984}, "total": 10159209984} | [
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"li... | null | {"architectures": ["Gemma2ForCausalLM"], "model_type": "gemma2", "tokenizer_config": {"bos_token": "<bos>", "chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0... | {
"auto_model": "AutoModelForCausalLM",
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} | {"base_model": ["zelk12/MT-Merge6-CN-gemma-2-9B", "zelk12/MT-Merge6-UW-gemma-2-9B"], "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": [... | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method.
### Models Merged
The following models were included in the merge:
* [zelk... | null | [
"gemma"
] | null | null | 10,159,209,984 | null | null | [
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67b2d6d52a4cd1863933357a | huihui-ai/Qwen2.5-VL-7B-Instruct-abliterated | huihui-ai | {
"models": [
{
"_id": "6795ffcd88cd7c0294702a72",
"id": "Qwen/Qwen2.5-VL-7B-Instruct"
}
],
"relation": "finetune"
} | 2,930 | 46,466 | False | 2025-02-17T06:27:33Z | 2025-11-07T23:36:44Z | transformers | 43 | 1 | null | image-text-to-text | {"parameters": {"BF16": 8292166656}, "total": 8292166656} | [
".gitattributes",
"README.md",
"added_tokens.json",
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"model.safetensors.in... | fa935a7958b3669b194c7ba4d1cfcebbe222641d | [
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"qwen2_5_vl",
"image-text-to-text",
"multimodal",
"abliterated",
"uncensored",
"conversational",
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"base_model:Qwen/Qwen2.5-VL-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-7B-Instruct",
"license:apache-2.0",
"text-generation-inference",
"endpoints_c... | 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": ["Qwen/Qwen2.5-VL-7B-Instruct"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": ["multimodal", "abliterated"... | # huihui-ai/Qwen2.5-VL-7B-Instruct-abliterated
This is an uncensored version of [Qwen/Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it). ... | null | [
"apache-2.0"
] | null | [
"en"
] | 8,292,166,656 | null | null | [
"qwen2_5_vl",
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] | [
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] | [
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] | [
"text",
"image"
] | [
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67b33f0df745d44676125724 | PocketDoc/Dans-PersonalityEngine-V1.2.0-24b | PocketDoc | {
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"id": "mistralai/Mistral-Small-24B-Base-2501"
}
],
"relation": "finetune"
} | 41 | 15,797 | False | 2025-02-17T13:52:13Z | 2025-05-23T04:21:32Z | transformers | 175 | 1 | null | text-generation | null | [
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"dataset:PocketDoc/Dans-MemoryCore-CoreCurriculum-Small",... | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "eos_token": "<|im_end|>", "chat_template": "{{ bos_token }}{%- set loop_messages = messages %}\n{%- for message in loop_messages %}\n {%- set content = '<|im_start|>' + message['role'] + '\\n'+ message['conte... | {
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} | {"base_model": ["mistralai/Mistral-Small-24B-Base-2501"], "datasets": ["PocketDoc/Dans-MemoryCore-CoreCurriculum-Small", "AquaV/US-Army-Survival-Sharegpt", "AquaV/Multi-Environment-Operations-Sharegpt", "AquaV/Resistance-Sharegpt", "AquaV/Interrogation-Sharegpt", "AquaV/Chemical-Biological-Safety-Applications-Sharegpt"... | <html lang="en">
<head>
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
</head>
<div class="crt-container">
<div class="crt-case">
<div class="crt-inner-case">
<div class="crt-bezel">
<div class="terminal-screen">
<div style="text-align: center;">
... | null | [
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"AquaV/Chemical-Biological-Safety-Applications-Sharegpt",
"AquaV/Energetic-Materials-Sharegpt",
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67b395dac33c9558ab8d11e7 | google/siglip2-base-patch16-512 | google | null | 102,536 | 762,256 | False | 2025-02-17T20:02:34Z | 2025-02-21T04:03:42Z | transformers | 37 | 1 | null | zero-shot-image-classification | {"parameters": {"F32": 375823874}, "total": 375823874} | [
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67b472e45df0f72afae8858e | google/siglip2-so400m-patch16-naflex | google | null | 385,963 | 20,379,716 | False | 2025-02-18T11:45:40Z | 2025-02-21T04:04:12Z | transformers | 65 | 1 | null | zero-shot-image-classification | {"parameters": {"F32": 1135670962}, "total": 1135670962} | [
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] | 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}} | {
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67b571f992649eb787fe1efe | CrabInHoney/urlbert-tiny-v3-malicious-url-classifier | CrabInHoney | {
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],
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} | 68 | 1,336 | False | 2025-02-19T05:54:01Z | 2025-03-30T11:41:14Z | transformers | 3 | 1 | null | text-classification | {"parameters": {"F32": 3686596}, "total": 3686596} | [
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] | 67e28744d406c0648a502fcaed8aa797030e2120 | [
"transformers",
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"bert",
"text-classification",
"url",
"cybersecurity",
"urls",
"links",
"classification",
"phishing-detection",
"tiny",
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"malware",
"defacement",
"urlbert",
"malicious",
"en",
"base_model:CrabInHoney/urlbert-tiny-base-v3",
"base_model:fin... | null | {"architectures": ["BertForSequenceClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
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"pipeline_tag": "text-classification",
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} | {"base_model": ["CrabInHoney/urlbert-tiny-base-v3"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-classification", "tags": ["url", "cybersecurity", "urls",... | # URLBERT-Tiny-v3 Malicious URL Classifier
This is a lightweight version of BERT, specifically fine-tuned for classifying URLs into four categories: benign, phishing, malware, and defacement.
## Model Details
- **Model size**: 3.69M parameters
- **Tensor type**: F32
- **Model weight size**: 14.8 MB
- **Base mo... | null | [
"apache-2.0"
] | null | [
"en"
] | 3,686,596 | null | null | [
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67b5949fc1f004c14454b878 | GSAI-ML/LLaDA-8B-Instruct | GSAI-ML | null | 516,639 | 3,354,818 | False | 2025-02-19T08:21:51Z | 2025-10-21T11:17:43Z | transformers | 351 | 1 | null | text-generation | null | [
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"model-00006-of-00... | 08b83a6feb34df1a6011b80c3c00c7563e963b07 | [
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] | null | {"architectures": ["LLaDAModelLM"], "auto_map": {"AutoConfig": "configuration_llada.LLaDAConfig", "AutoModelForCausalLM": "modeling_llada.LLaDAModelLM", "AutoModel": "modeling_llada.LLaDAModelLM"}, "model_type": "llada", "tokenizer_config": {"bos_token": "<|startoftext|>", "chat_template": "{% set loop_messages = messa... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "modeling_llada.LLaDAModelLM",
"pipeline_tag": "text-generation",
"processor": null
} | {"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": "text-generation", "tags": null} | # LLaDA-8B-Instruct
We introduce LLaDA, a diffusion model with an unprecedented 8B scale, trained entirely from scratch, rivaling LLaMA3 8B in performance.
[Project Page](https://ml-gsai.github.io/LLaDA-demo/)
[Code](https://github.com/ML-GSAI/LLaDA) | null | [
"mit"
] | null | null | null | null | null | [
"LLaDAModelLM",
"llada",
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"text-generation"
] | [
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] | [
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67b5af2b4adadc05e7f7083f | sbintuitions/modernbert-ja-310m | sbintuitions | null | 4,524 | 168,873 | False | 2025-02-19T10:15:07Z | 2025-05-01T03:43:10Z | transformers | 21 | 1 | null | fill-mask | {"parameters": {"F32": 315304960}, "total": 315304960} | [
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"LICENSE",
"README.md",
"config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | 77675fc96a7e445e982e2ba90246b816efc74ec6 | [
"transformers",
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"arxiv:2104.09864",
"arxiv:2404.10830",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["ModernBertForMaskedLM"], "model_type": "modernbert", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<cls>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "<sep>", "unk_token": "<unk>", "use_default_system_prompt": false}} | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["ja", "en"], "library_name": "transformers", "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "fill-mask", "tags": null} | # ModernBERT-Ja-310M
This repository provides Japanese ModernBERT trained by [SB Intuitions](https://www.sbintuitions.co.jp/).
[ModernBERT](https://arxiv.org/abs/2412.13663) is a new variant of the BERT model that combines local and global attention, allowing it to handle long sequences while maintaining high computa... | null | [
"mit"
] | null | [
"ja",
"en"
] | 315,304,960 | null | null | [
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67b65cc80fbb5ded330f2baf | YuchengShi/LLaVA-v1.5-7B-Plant-Leaf-Diseases-Detection | YuchengShi | null | 207 | 3,490 | False | 2025-02-19T22:35:52Z | 2025-02-22T13:39:26Z | transformers | 8 | 1 | null | image-text-to-text | {"parameters": {"F32": 7063427072}, "total": 7063427072} | [
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... | 1f6650eae32c0350ee9f53f29e3ada6f5d02c60a | [
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"llava",
"image-text-to-text",
"conversational",
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] | 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": 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", "tags": []} | # Fine-Grained Visual Classification on Plant Leaf Diseases
Project Page: [SelfSynthX](https://github.com/sycny/SelfSynthX).
Paper on arXiv: [Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data](https://arxiv.org/abs/2502.14044)
This model is a fine-tuned multimodal... | null | null | null | null | 7,063,427,072 | null | null | [
"AutoModelForImageTextToText",
"LlavaForConditionalGeneration",
"llava"
] | [
"image-text-to-text"
] | [
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"image"
] | [
"text"
] |
67b8d46e3320dd7e8f64c54d | Meher2006/english-to-telugu-model | Meher2006 | null | 71 | 2,143 | False | 2025-02-21T19:30:54Z | 2025-02-22T14:42:36Z | transformers | 3 | 1 | null | translation | {"parameters": {"F32": 611129542}, "total": 611129542} | [
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"README.md",
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"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 919528f2db036c76de6074bacd3f3d28b98edf07 | [
"transformers",
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"mbart",
"text2text-generation",
"translation",
"english-to-telugu",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["MBartForConditionalGeneration"], "model_type": "mbart", "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": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-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": "Meher2006/english-to-telugu-model", "pipeline_tag": "translation", "tags": ["translation", "english-to-telug... | # 🚀 English-to-Telugu Translation Model
This model translates English text to Telugu using a fine-tuned transformer model. It is designed for general-purpose translation and supports a wide range of vocabulary and sentence structures.
## **Model Details**
- **Model Name**: English-to-Telugu Translation Model ... | null | [
"apache-2.0"
] | null | null | 611,129,542 | null | null | [
"AutoModelForSeq2SeqLM",
"MBartForConditionalGeneration",
"mbart"
] | [
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] | [
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] | [
"text"
] | [
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67bc7c869d0957aa18798846 | Qodo/Qodo-Embed-1-7B | Qodo | {
"models": [
{
"_id": "666d79e53ae28e1bcf497877",
"id": "Alibaba-NLP/gte-Qwen2-7B-instruct"
}
],
"relation": "finetune"
} | 189 | 4,550 | False | 2025-02-24T14:04:54Z | 2025-02-24T15:32:24Z | sentence-transformers | 36 | 1 | null | sentence-similarity | {"parameters": {"F32": 7069121024}, "total": 7069121024} | [
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"model-00004-of-00006.safetensor... | 81fdb7d304a453baf198f69cff57bc1f3ff9a753 | [
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"base_model:Alibaba-NLP/gte-Qwen2-7B-instruct",
"base_model:finetune:Alibaba-NLP/gte-Qwen2-7B-instruct",
"license:other",
"text-embeddings-inference",
"endpoi... | null | {"architectures": ["Qwen2Model"], "auto_map": {"AutoModel": "modeling_qwen.Qwen2Model", "AutoModelForCausalLM": "modeling_qwen.Qwen2Model", "AutoModelForSequenceClassification": "modeling_qwen.Qwen2Model"}, "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{% for message in messages %}{{'... | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": ["Alibaba-NLP/gte-Qwen2-7B-instruct"], "datasets": null, "eval_results": null, "language": null, "library_name": "sentence-transformers", "license": "other", "license_name": "qodo-model", "license_link": "LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "sentence-similarity", "tags": ["sent... | ## Qodo-Embed-1
**Qodo-Embed-1 is a state-of-the-art** code embedding model designed for retrieval tasks in the software development domain.
It is offered in two sizes: lite (1.5B) and medium (7B). The model is optimized for natural language-to-code and code-to-code retrieval, making it highly effective for applicatio... | null | [
"other",
"qodo-model",
"LICENSE"
] | null | null | 7,069,121,024 | null | null | [
"AutoModel",
"Qwen2Model",
"qwen2"
] | [
"sentence-similarity",
"feature-extraction"
] | [
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"multimodal"
] | [
"text"
] | [
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"embeddings"
] |
67bcf3bca03bde20d15377c6 | microsoft/Phi-4-multimodal-instruct | microsoft | null | 302,749 | 6,051,074 | False | 2025-02-24T22:33:32Z | 2025-12-10T20:18:10Z | transformers | 1,575 | 1 | null | automatic-speech-recognition | {"parameters": {"BF16": 5574460384}, "total": 5574460384} | [
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"phi-4-multimodal",
"phi",
"phi-4-mini",
"custom_code",
"multilingual",
"ar",
"zh",
"cs",... | null | {"architectures": ["Phi4MMForCausalLM"], "auto_map": {"AutoConfig": "configuration_phi4mm.Phi4MMConfig", "AutoModelForCausalLM": "modeling_phi4mm.Phi4MMForCausalLM", "AutoTokenizer": "Xenova/gpt-4o"}, "model_type": "phi4mm", "tokenizer_config": {"bos_token": "<|endoftext|>", "chat_template": "{% for message in messages... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "modeling_phi4mm.Phi4MMForCausalLM",
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["multilingual", "ar", "zh", "cs", "da", "nl", "en", "fi", "fr", "de", "he", "hu", "it", "ja", "ko", "no", "pl", "pt", "ru", "es", "sv", "th", "tr", "uk"], "library_name": "transformers", "license": "mit", "license_name": null, "license_link": "ht... | null | null | [
"mit",
"https://huggingface.co/microsoft/Phi-4-multimodal-instruct/resolve/main/LICENSE"
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"multilingual",
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"no",
"pl",
"pt",
"ru",
"es",
"sv",
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"uk"
] | 5,574,460,384 | null | null | [
"Phi4MMForCausalLM",
"AutoModelForCausalLM",
"phi4mm",
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67be3dde73dab53761f7d79d | moojink/openvla-7b-oft-finetuned-libero-spatial | moojink | null | 6,615 | 38,726 | False | 2025-02-25T22:02:06Z | 2025-06-17T22:28:54Z | transformers | 14 | 1 | null | robotics | {"parameters": {"BF16": 7541237184}, "total": 7541237184} | [
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"mo... | 6d0231af0e48c5985f1ff86908f4674b84bc049b | [
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"openvla",
"feature-extraction",
"robotics",
"custom_code",
"arxiv:2502.19645",
"license:mit",
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] | null | {"architectures": ["OpenVLAForActionPrediction"], "auto_map": {"AutoConfig": "configuration_prismatic.OpenVLAConfig", "AutoModelForVision2Seq": "modeling_prismatic.OpenVLAForActionPrediction"}, "model_type": "openvla", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": "<PAD>", "unk_token": "<un... | {
"auto_model": "AutoModelForVision2Seq",
"custom_class": "modeling_prismatic.OpenVLAForActionPrediction",
"pipeline_tag": "feature-extraction",
"processor": null
} | {"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": "robotics", "tags": null} | # Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
This repository contains the OpenVLA-OFT checkpoint for LIBERO-Spatial, as described in [Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success](https://arxiv.org/abs/2502.19645). OpenVLA-OFT significantly improves upon the base... | null | [
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] | null | null | 7,541,237,184 | null | null | [
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] | [
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67befd1d5f428cb10faf41db | lwolfrum2/careerbert-g | lwolfrum2 | {
"models": [
{
"_id": "621ffdc136468d709f17a5ef",
"id": "deepset/gbert-base"
}
],
"relation": "finetune"
} | 146 | 1,290 | False | 2025-02-26T11:38:05Z | 2025-03-12T12:26:43Z | sentence-transformers | 5 | 1 | null | sentence-similarity | {"parameters": {"F32": 109927680}, "total": 109927680} | [
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"README.md",
"config.json",
"config_sentence_transformers.json",
"model.safetensors",
"modules.json",
"sentence_bert_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 07825ae6bd6167e16803fb588f0cd1fa0b2a6cdf | [
"sentence-transformers",
"safetensors",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"de",
"base_model:deepset/gbert-base",
"base_model:finetune:deepset/gbert-base",
"text-embeddings-inference",
"endpoints_compatible",
"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": ["deepset/gbert-base"], "datasets": null, "eval_results": null, "language": ["de"], "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "sentence-similarity", "tags": ["sentence-transformers", "feature-extraction", "sente... | # CareerBERT-G
A Sentence Transformer Model finetuned on [ESCO Taxonomy](https://esco.ec.europa.eu/classification/occupation_main).
Basemodel: deepset/gbert-base
Corresponding Paper: https://www.sciencedirect.com/science/article/pii/S0957417425006657
## Usage (Sentence-Transformers)
Using this model becomes easy w... | null | null | null | [
"de"
] | 109,927,680 | null | null | [
"BertModel",
"AutoModel",
"bert"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
67beff50c0ccb4642039c46e | lwolfrum2/careerbert-jg | lwolfrum2 | {
"models": [
{
"_id": "6299ce70e0753998f1f6932e",
"id": "agne/jobGBERT"
}
],
"relation": "finetune"
} | 312 | 4,879 | False | 2025-02-26T11:47:28Z | 2025-03-12T12:26:00Z | sentence-transformers | 2 | 1 | null | sentence-similarity | {"parameters": {"F32": 109927680}, "total": 109927680} | [
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"1_Pooling/config.json",
"README.md",
"config.json",
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"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 61b30179cdf55ed82c2853e900e5ae1d5a35a8b7 | [
"sentence-transformers",
"safetensors",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"de",
"base_model:agne/jobGBERT",
"base_model:finetune:agne/jobGBERT",
"text-embeddings-inference",
"endpoints_compatible",
"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": ["agne/jobGBERT"], "datasets": null, "eval_results": null, "language": ["de"], "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "sentence-similarity", "tags": ["sentence-transformers", "feature-extraction", "sentence-s... | # CareerBERT-JG
A Sentence Transformer Model finetuned on [ESCO Taxonomy](https://esco.ec.europa.eu/select-language?destination=/classification/occupation_main).
Basemodel: agne/jobGBERT
Corresponding Paper: https://www.sciencedirect.com/science/article/pii/S0957417425006657
## Usage (Sentence-Transformers)
Using ... | null | null | null | [
"de"
] | 109,927,680 | null | null | [
"BertModel",
"AutoModel",
"bert"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
67c31cc7ee26fd08e5dc30a9 | deepseek-community/Janus-Pro-1B | deepseek-community | null | 130,995 | 286,203 | False | 2025-03-01T14:42:15Z | 2026-03-18T11:51:52Z | transformers | 10 | 1 | null | any-to-any | {"parameters": {"BF16": 2076636811}, "total": 2076636811} | [
".gitattributes",
"README.md",
"chat_template.jinja",
"config.json",
"generation_config.json",
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"janus_pro_teaser2.png",
"model.safetensors",
"preprocessor_config.json",
"processor_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 1655280bb75959cc1cb85529a2a8b26e7016072e | [
"transformers",
"safetensors",
"janus",
"image-text-to-text",
"muiltimodal",
"text-to-image",
"unified-model",
"any-to-any",
"arxiv:2501.17811",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["JanusForConditionalGeneration"], "model_type": "janus", "tokenizer_config": {"bos_token": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "eos_token": "<\uff5cend\u2581of\u2581sentence\uff5c>", "pad_token": "<\uff5c\u2581pad\u2581\uff5c>", "unk_token": null, "use_default_system_prompt": true}, "chat_te... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "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 | 2,076,636,811 | null | null | [
"janus",
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"JanusForConditionalGeneration"
] | [
"image-text-to-text",
"text-to-image",
"any-to-any"
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"multimodal"
] | [
"text",
"any",
"image"
] | [
"text",
"any",
"image"
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67c7e578b79a53ee2174801c | diabolic6045/Sanskrit-qwen-7B-Translate-Legacy | diabolic6045 | {
"models": [
{
"_id": "679245e07ca01b2dac178441",
"id": "Qwen/Qwen2.5-7B-Instruct-1M"
}
],
"relation": "finetune"
} | 18 | 639 | False | 2025-03-05T05:47:36Z | 2025-03-05T06:01:23Z | transformers | 3 | 1 | [{"name": "Sanskrit-qwen-7B-Translate", "results": []}] | translation | {"parameters": {"F16": 7615616512}, "total": 7615616512} | [
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"special_to... | c38f3f2525b44b5fac5ce1bce16bf385b1109531 | [
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"license:apache-2.0",
"text-generation-inference",
"e... | 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",
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} | {"base_model": "Qwen/Qwen2.5-7B-Instruct-1M", "datasets": ["diabolic6045/Sanskrit-llama"], "eval_results": [], "language": null, "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": "Sanskrit-qwen-7B-Translate", "pipeline_tag": null, "tags":... | null | null | [
"apache-2.0"
] | [
"diabolic6045/Sanskrit-llama"
] | null | 7,615,616,512 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
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"text-generation"
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67c8d42d80a421e5974a2a5a | OsamaMo/Arabic_Text-To-SQL_using_Qwen2.5-1.5B | OsamaMo | {
"models": [
{
"_id": "66e98dd5899bdb384bd953b4",
"id": "Qwen/Qwen2.5-1.5B-Instruct"
}
],
"relation": "finetune"
} | 4 | 230 | False | 2025-03-05T22:46:05Z | 2025-04-08T08:34:28Z | transformers | 2 | 1 | null | text-generation | null | [
".gitattributes",
"LLaMA-Factory/.dockerignore",
"LLaMA-Factory/.env.local",
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"LLaMA-Factory/.github/ISSUE_TEMPLATE/1-bug-report.yml",
"LLaMA-Factory/.github/ISSUE_TEMPLATE/2-feature-req... | 87b96542a430f7e9dd9ae11e962209b2ed97183c | [
"transformers",
"safetensors",
"qwen2",
"fill-mask",
"Text-To-SQL",
"Arabic",
"Spider",
"SQL",
"text2text-generation",
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"base_model:finetune:Qwen/Qwen2.5-1.5B-Instruct",
"license:mit",
"text-generation-inference",
"endpoin... | null | {"architectures": ["QwenLMHeadModel"], "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 Alibab... | {
"auto_model": "AutoModelWithLMHead",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | {"base_model": ["Qwen/Qwen2.5-1.5B-Instruct"], "datasets": null, "eval_results": null, "language": ["ar"], "library_name": "transformers", "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text2text-generation", "tags": ["Text-To-SQL", "Arabic", "Spider"... | # Model Card for Arabic Text-To-SQL (OsamaMo)
## Model Details
### Model Description
This model is fine-tuned on the Spider dataset with Arabic-translated questions for the Text-To-SQL task. It is based on **Qwen/Qwen2.5-1.5B-Instruct** and trained using LoRA on Kaggle for 15 hours on a **P100 8GB GPU**.
- **Develo... | null | [
"mit"
] | null | [
"ar"
] | null | null | null | [
"QwenLMHeadModel",
"qwen2",
"AutoModelWithLMHead"
] | [
"fill-mask",
"text-generation"
] | [
"text"
] | [
"text"
] | [
"logits",
"text"
] |
67cd9e587fbbaaf96882c6b5 | JungZoona/T3Q-qwen2.5-14b-v1.0-e3 | JungZoona | {
"models": [
{
"_id": "679242cc5ca3578ff4cf1ec4",
"id": "Qwen/Qwen2.5-14B-Instruct-1M"
}
],
"relation": "finetune"
} | 1,442 | 13,688 | False | 2025-03-09T13:57:44Z | 2025-04-07T07:52:50Z | transformers | 54 | 1 | null | text-generation | {"parameters": {"BF16": 14770033664}, "total": 14770033664} | [
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"model-00005-of-00006.safetensors",
"model-... | 42e91c593cf7ef7564c3ca014482e120679b01df | [
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"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are a helpful assistant.' ... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "Qwen/Qwen2.5-14B-Instruct-1M", "datasets": null, "eval_results": null, "language": ["en", "ko"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen2.5-14B-Instruct-1M/blob/main/LICENSE", "metrics": null, "model_name": null, "p... | null | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen2.5-14B-Instruct-1M/blob/main/LICENSE"
] | null | [
"en",
"ko"
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67d0ec0cd910b885ead01ce6 | yamatazen/EtherealAurora-12B-v2 | yamatazen | {
"models": [
{
"_id": "66bd6b92780d735f179ebd76",
"id": "natong19/Mistral-Nemo-Instruct-2407-abliterated"
},
{
"_id": "67c4597c6455d511fd9fa830",
"id": "yamatazen/EtherealAurora-12B"
}
],
"relation": "merge"
} | 11 | 1,932 | False | 2025-03-12T02:06:04Z | 2025-06-19T05:31:58Z | transformers | 29 | 1 | null | text-generation | {"parameters": {"BF16": 12247782400}, "total": 12247782400} | [
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"model.safetensors... | f218cef001312aa9b547b992e12dc9e330c3fff8 | [
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"chatml",
"conversational",
"en",
"ja",
"base_model:natong19/Mistral-Nemo-Instruct-2407-abliterated",
"base_model:merge:natong19/Mistral-Nemo-Instruct-2407-abliterated",
"base_model:yamatazen/EtherealAurora-12B... | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["yamatazen/EtherealAurora-12B", "natong19/Mistral-Nemo-Instruct-2407-abliterated"], "datasets": null, "eval_results": null, "language": ["en", "ja"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": ... | 
This is a ChatML model.
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged... | null | [
"apache-2.0"
] | null | [
"en",
"ja"
] | 12,247,782,400 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
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67d132f0a6fc6460be7587d8 | unsloth/gemma-3-1b-it | unsloth | {
"models": [
{
"_id": "67ced65c9b9a3df71008da90",
"id": "google/gemma-3-1b-it"
}
],
"relation": "finetune"
} | 21,408 | 958,183 | False | 2025-03-12T07:08:32Z | 2025-05-12T07:51:27Z | transformers | 22 | 1 | null | text-generation | {"parameters": {"BF16": 999885952}, "total": 999885952} | [
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"README.md",
"added_tokens.json",
"chat_template.jinja",
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"generation_config.json",
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"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | 5b11413a10db4e486ef16a20101fd028f8f2499c | [
"transformers",
"safetensors",
"gemma3_text",
"text-generation",
"unsloth",
"gemma3",
"gemma",
"google",
"conversational",
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"arxiv:1905.07830",
"arxiv:1905.10044",
"arxiv:1911.11641",
"arxiv:1904.09728",
"arxiv:1705.03551",
"arxiv:1911.01547",
"arxiv:1907.10641",
"arxiv:1903.0... | 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",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "google/gemma-3-1b-it", "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "gemma", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["unsloth", "transformers", "gemma3", "gemma", "google"]} | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See <a href="https://huggingface.co/collections/unsloth/gemma-3-67d12b7e8816ec6efa7e4e5b">our collection</a> for all versions of Gemma 3 including GGUF, 4-bit & 16-bit formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em><a href="https://docs.... | null | [
"gemma"
] | null | [
"en"
] | 999,885,952 | null | null | [
"gemma3_text",
"AutoModelForCausalLM",
"Gemma3ForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67d2d30a479048fd78d75e06 | yamatazen/EtherealAurora-12B-v3 | yamatazen | {
"models": [
{
"_id": "67025f482fa99176355dd05f",
"id": "HumanLLMs/Human-Like-Mistral-Nemo-Instruct-2407"
},
{
"_id": "67c4597c6455d511fd9fa830",
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},
{
"_id": "67d0ec0cd910b885ead01ce6",
"id": "yamatazen/EtherealAurora-12B-v2... | 3 | 460 | False | 2025-03-13T12:43:54Z | 2025-03-15T06:58:21Z | transformers | 4 | 1 | null | text-generation | {"parameters": {"BF16": 12247782400}, "total": 12247782400} | [
".gitattributes",
"EtherealAurora-12B-v3.png",
"README.md",
"config.json",
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"model-00003-of-00005.safetensors",
"model-00004-of-00005.safetensors",
"model-00005-of-00005.safetensors",
"model.safetensors... | 9a90936849004c4665cd8cfbb153869ce4ce58ba | [
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"mistral",
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"chatml",
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"base_model:merge:HumanLLMs/Human-Like-Mistral-Nemo-Instruct-2407",
"base_model:yamata... | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["yamatazen/EtherealAurora-12B", "HumanLLMs/Human-Like-Mistral-Nemo-Instruct-2407", "yamatazen/EtherealAurora-12B-v2"], "datasets": null, "eval_results": null, "language": ["en", "ja"], "library_name": "transformers", "license": null, "license_name": null, "license_link": null, "metrics": null, "model_na... | 
This is a ChatML model.
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged... | null | null | null | [
"en",
"ja"
] | 12,247,782,400 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67d315bf4bf0656857737f2b | ServiceNow-AI/Apriel-5B-Base | ServiceNow-AI | null | 49 | 2,054 | False | 2025-03-13T17:28:31Z | 2025-05-28T20:17:49Z | transformers | 42 | 1 | null | text-generation | {"parameters": {"BF16": 4832071680}, "total": 4832071680} | [
".gitattributes",
"LICENSE.md",
"README.md",
"config.json",
"configuration_apriel.py",
"eval_vs_latency.png",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"modeling_apriel.py",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_... | 7f293e28a5b438fd67e1e247a9c11a04c8541cc5 | [
"transformers",
"safetensors",
"apriel",
"text-generation",
"custom_code",
"en",
"license:mit",
"region:us"
] | null | {"architectures": ["AprielForCausalLM"], "auto_map": {"AutoConfig": "configuration_apriel.AprielConfig", "AutoModelForCausalLM": "modeling_apriel.AprielForCausalLM", "AutoModel": "modeling_apriel.AprielModel"}, "model_type": "apriel", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "modeling_apriel.AprielForCausalLM",
"pipeline_tag": "text-generation",
"processor": null
} | {"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": null, "tags": null} | # Apriel-5B
`/ˈɑː.pri.əl/`
## Table of Contents
1. [Model Summary](#model-summary)
2. [Evaluation](#evaluation)
3. [Intended Use](#intended-use)
4. [Limitations](#limitations)
5. [Security and Responsible Use](#security-and-responsible-use)
6. [License](#license)
7. [Citation](#citation)
## Model Summar... | null | [
"mit"
] | null | [
"en"
] | 4,832,071,680 | null | null | [
"AprielForCausalLM",
"apriel",
"AutoModelForCausalLM",
"modeling_apriel.AprielForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67d3b63dde5ce3cc4294cc66 | unsloth/aya-vision-32b | unsloth | {
"models": [
{
"_id": "67c4cf687a31bf4b1d19c639",
"id": "CohereLabs/aya-vision-32b"
}
],
"relation": "finetune"
} | 27 | 185 | False | 2025-03-14T04:53:17Z | 2025-03-14T09:41:59Z | transformers | 3 | 1 | null | image-text-to-text | {"parameters": {"BF16": 33137288432}, "total": 33137288432} | [
".gitattributes",
"README.md",
"chat_template.json",
"config.json",
"generation_config.json",
"model-00001-of-00015.safetensors",
"model-00002-of-00015.safetensors",
"model-00003-of-00015.safetensors",
"model-00004-of-00015.safetensors",
"model-00005-of-00015.safetensors",
"model-00006-of-00015.... | 5b4c653757c1876eb98709ab0f2c05df446826a7 | [
"transformers",
"safetensors",
"aya_vision",
"image-text-to-text",
"conversational",
"en",
"fr",
"de",
"es",
"it",
"pt",
"ja",
"ko",
"zh",
"ar",
"el",
"fa",
"pl",
"id",
"cs",
"he",
"hi",
"nl",
"ro",
"ru",
"tr",
"uk",
"vi",
"arxiv:2412.04261",
"base_model:Coh... | null | {"architectures": ["AyaVisionForConditionalGeneration"], "model_type": "aya_vision", "processor_config": {"chat_template": "{{ bos_token }}<|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>You are Aya Vision, a brilliant, sophisticated, AI-assistant chatbot trained to assist human users by providing thorough responses. You are a ... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": "CohereForAI/aya-vision-32b", "datasets": null, "eval_results": null, "language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar", "el", "fa", "pl", "id", "cs", "he", "hi", "nl", "ro", "ru", "tr", "uk", "vi"], "library_name": "transformers", "license": "cc-by-nc-4.0", "license_name": null, "l... | # Model Card for Aya Vision 8B
<img src="aya-vision-8B.png" width="650" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
**C4AI Aya Vision 8B** is an open weights research release of an 8-billion parameter model with advanced capabilities optimized for a variety of vision-language use cases, including... | null | [
"cc-by-nc-4.0"
] | null | [
"en",
"fr",
"de",
"es",
"it",
"pt",
"ja",
"ko",
"zh",
"ar",
"el",
"fa",
"pl",
"id",
"cs",
"he",
"hi",
"nl",
"ro",
"ru",
"tr",
"uk",
"vi"
] | 33,137,288,432 | null | null | [
"AyaVisionForConditionalGeneration",
"AutoModelForImageTextToText",
"aya_vision"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
67d4ace62d86806283bc6f34 | Novaciano/Eurinome-3.2-1B | Novaciano | {
"models": [
{
"_id": "67bcf1f9721bb3cd2cae338b",
"id": "BarraHome/llama3.2-1b-mla"
},
{
"_id": "67cf479c03ffbba955f63741",
"id": "Grogros/Grogros-dmWM-llama-3.2-1B-Instruct-WOHealth-Al4-NH-WO-d4-a0.2-v4-learnability_adv"
},
{
"_id": "67ea025fb2ee89a77a163e89",
... | 4 | 74 | False | 2025-03-14T22:25:42Z | 2025-03-14T22:31:59Z | transformers | 1 | 1 | null | text-generation | {"parameters": {"BF16": 1498482688}, "total": 1498482688} | [
".gitattributes",
"README.md",
"config.json",
"mergekit_config.yml",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tok... | 4592cbbd7b5e22ff268a26d50db09670e7df4d9b | [
"transformers",
"safetensors",
"llama",
"text-generation",
"mergekit",
"merge",
"conversational",
"arxiv:2403.19522",
"base_model:BarraHome/llama3.2-1b-mla",
"base_model:merge:BarraHome/llama3.2-1b-mla",
"base_model:Grogros/Grogros-dmWM-llama-3.2-1B-Instruct-WOHealth-Al4-NH-WO-d4-a0.2-v4-learnab... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|begin_of_text|>' + '<|start_header_id|>syste... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["xdrshjr/llama3.2_1b_uncensored_5000_8epoch_lora", "suayptalha/FastLlama-3.2-1B-Instruct", "Kanonenbombe/llama3.2-1B-Function-calling", "BarraHome/llama3.2-1b-mla", "Mostafa8Mehrabi/llama-3.2-1b-Insomnia-ChatBot-merged", "danieliuspodb/llama-3.2-1b-extremist4", "Weyaxi/Einstein-v8-Llama3.2-1B", "Grogros... | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [xdrshjr/llama3.2_1b_uncensored_5000_8epoch_lora](https://huggingfac... | null | null | null | null | 1,498,482,688 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67d7409d2041218db8db6cb1 | featherless-ai/QRWKV-72B | featherless-ai | null | 110 | 18,040 | False | 2025-03-16T21:20:29Z | 2025-10-20T17:27:58Z | transformers | 67 | 1 | null | text-generation | {"parameters": {"BF16": 79295848448}, "total": 79295848448} | [
".gitattributes",
"LICENSE-Qwen",
"NOTICE.txt",
"README.md",
"config.json",
"configuration_rwkv6qwen2.py",
"generation_config.json",
"merges.txt",
"model-00001-of-00033.safetensors",
"model-00002-of-00033.safetensors",
"model-00003-of-00033.safetensors",
"model-00004-of-00033.safetensors",
"... | 6dfe3c27be6dddf9e1ff1bae94c6c4b915696bb6 | [
"transformers",
"safetensors",
"rwkv6qwen2",
"text-generation",
"conversational",
"custom_code",
"arxiv:2505.03005",
"license:other",
"region:us"
] | null | {"architectures": ["RWKV6Qwen2ForCausalLM"], "auto_map": {"AutoConfig": "configuration_rwkv6qwen2.RWKV6Qwen2Config", "AutoModelForCausalLM": "modeling_rwkv6qwen2.RWKV6Qwen2ForCausalLM"}, "model_type": "rwkv6qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "modeling_rwkv6qwen2.RWKV6Qwen2ForCausalLM",
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "other", "license_name": "tongyi-qianwen", "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": null, "thumbnail": "https://cdn-uploads.huggingface.c... | 
- Try out the model on [](https://featherless.ai/models/featherless-ai/QRWKV-72... | null | [
"other",
"tongyi-qianwen"
] | null | null | 79,295,848,448 | null | null | [
"modeling_rwkv6qwen2.RWKV6Qwen2ForCausalLM",
"RWKV6Qwen2ForCausalLM",
"rwkv6qwen2",
"AutoModelForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67d7cf77868b5bb02e05278d | Novaciano/Leviathan-3.2-1B | Novaciano | {
"models": [
{
"_id": "670e2cfc9ccbcf8a86ae90dd",
"id": "diabolic6045/open-llama-3.2-1B-Instruct"
},
{
"_id": "6771ca448e0ed7713b0652ab",
"id": "dphn/Dolphin3.0-Llama3.2-1B"
},
{
"_id": "66fc438f4fb09ea16669d8d7",
"id": "huihui-ai/Llama-3.2-1B-Instruct-ablitera... | 2 | 11 | False | 2025-03-17T07:29:59Z | 2025-03-17T07:35:46Z | transformers | 1 | 1 | null | text-generation | {"parameters": {"BF16": 1498482688}, "total": 1498482688} | [
".gitattributes",
"README.md",
"config.json",
"mergekit_config.yml",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tok... | 68be56e98cf341fea2f7ffdf0878161f383f590c | [
"transformers",
"safetensors",
"llama",
"text-generation",
"mergekit",
"merge",
"conversational",
"arxiv:2403.19522",
"base_model:diabolic6045/open-llama-3.2-1B-Instruct",
"base_model:merge:diabolic6045/open-llama-3.2-1B-Instruct",
"base_model:dphn/Dolphin3.0-Llama3.2-1B",
"base_model:merge:dp... | 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": ["xdrshjr/llama3.2_1b_uncensored_5000_8epoch_lora", "cognitivecomputations/Dolphin3.0-Llama3.2-1B", "diabolic6045/open-llama-3.2-1B-Instruct", "huihui-ai/Llama-3.2-1B-Instruct-abliterated"], "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": null, "licens... | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [cognitivecomputations/Dolphin3.0-Llama3.2-1B](https://huggingface.c... | null | null | null | null | 1,498,482,688 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67d8104425ad2831362a4473 | huihui-ai/gemma-3-1b-it-abliterated | huihui-ai | {
"models": [
{
"_id": "67ced65c9b9a3df71008da90",
"id": "google/gemma-3-1b-it"
}
],
"relation": "finetune"
} | 103 | 13,538 | False | 2025-03-17T12:06:28Z | 2025-03-17T12:55:41Z | transformers | 18 | 1 | null | text-generation | {"parameters": {"BF16": 999885952}, "total": 999885952} | [
".gitattributes",
"Modelfile",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | e9bd52486e18d15af5dadff2ecf7dddf56cd803c | [
"transformers",
"safetensors",
"gemma3_text",
"text-generation",
"chat",
"abliterated",
"uncensored",
"conversational",
"base_model:google/gemma-3-1b-it",
"base_model:finetune:google/gemma-3-1b-it",
"license:gemma",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | 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",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "google/gemma-3-1b-it", "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "gemma", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["chat", "abliterated", "uncensored"], "extra_g... | # huihui-ai/gemma-3-1b-it-abliterated
This is an uncensored version of [google/gemma-3-1b-it](https://huggingface.co/google/gemma-3-1b-it) 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-... | null | [
"gemma"
] | null | null | 999,885,952 | null | null | [
"gemma3_text",
"AutoModelForCausalLM",
"Gemma3ForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67d979e4c2743f39b8a8c8c4 | gaunernst/gemma-3-4b-it-int4-awq | gaunernst | {
"models": [
{
"_id": "67b79c8700245b72c5706777",
"id": "google/gemma-3-4b-it"
}
],
"relation": "quantized"
} | 36,298 | 195,975 | False | 2025-03-18T13:49:24Z | 2025-04-06T03:06:37Z | transformers | 7 | 1 | null | image-text-to-text | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.json",
"config.json",
"convert_flax.py",
"generation_config.json",
"model.safetensors",
"preprocessor_config.json",
"processor_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.... | 8f28faf05c382a2dd81a471090acdb23156eb354 | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"conversational",
"arxiv:1905.07830",
"arxiv:1905.10044",
"arxiv:1911.11641",
"arxiv:1904.09728",
"arxiv:1705.03551",
"arxiv:1911.01547",
"arxiv:1907.10641",
"arxiv:1903.00161",
"arxiv:2009.03300",
"arxiv:2304.06364",
"arxi... | null | {"architectures": ["Gemma3ForConditionalGeneration"], "model_type": "gemma3", "quantization_config": {"bits": 4, "quant_method": "awq"}, "processor_config": {"chat_template": "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n {%- if messages[0]['content'] is string -%}\n {%- set first_user_prefix ... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": "google/gemma-3-4b-it", "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "gemma", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": null, "extra_gated_heading": "Access Gemma o... | null | null | [
"gemma"
] | null | null | null | null | null | [
"AutoModelForImageTextToText",
"Gemma3ForConditionalGeneration",
"gemma3"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
67dc1797d27caeca77554054 | xkeyC/whisper-large-v3-turbo-gguf | xkeyC | {
"models": [
{
"_id": "654a84cadff2f49007ce6c37",
"id": "openai/whisper-large-v3"
}
],
"relation": "quantized"
} | 11,477 | 71,020 | False | 2025-03-20T13:26:47Z | 2025-07-04T16:35:03Z | transformers | 29 | 1 | null | automatic-speech-recognition | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"merges.txt",
"model_gpu_fp16.onnx",
"model_q4_1.gguf",
"model_q4_k.gguf",
"normalizer.json",
"preprocessor_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vo... | 7230f1a64fe4483b9629c665c93b52c413de34c8 | [
"transformers",
"onnx",
"gguf",
"whisper",
"automatic-speech-recognition",
"audio",
"en",
"zh",
"de",
"es",
"ru",
"ko",
"fr",
"ja",
"pt",
"tr",
"pl",
"ca",
"nl",
"ar",
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"it",
"id",
"hi",
"fi",
"vi",
"he",
"uk",
"el",
"ms",
"cs",
"ro",
"da",
"hu"... | {"total": 808878080} | {"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": ["openai/whisper-large-v3"], "datasets": null, "eval_results": null, "language": ["en", "zh", "de", "es", "ru", "ko", "fr", "ja", "pt", "tr", "pl", "ca", "nl", "ar", "sv", "it", "id", "hi", "fi", "vi", "he", "uk", "el", "ms", "cs", "ro", "da", "hu", "ta", "no", "th", "ur", "hr", "bg", "lt", "la", "mi", "... | null | null | [
"mit"
] | null | [
"en",
"zh",
"de",
"es",
"ru",
"ko",
"fr",
"ja",
"pt",
"tr",
"pl",
"ca",
"nl",
"ar",
"sv",
"it",
"id",
"hi",
"fi",
"vi",
"he",
"uk",
"el",
"ms",
"cs",
"ro",
"da",
"hu",
"ta",
"no",
"th",
"ur",
"hr",
"bg",
"lt",
"la",
"mi",
"ml",
"cy",
"sk"... | null | 808,878,080 | null | [
"WhisperForConditionalGeneration",
"whisper",
"AutoModelForSpeechSeq2Seq"
] | [
"automatic-speech-recognition"
] | [
"multimodal"
] | [
"audio"
] | [
"text"
] |
67dd73a26882f15cd0c18bf1 | gaunernst/gemma-3-27b-it-int4-awq | gaunernst | {
"models": [
{
"_id": "67c35b9bb236f0d365bf29d3",
"id": "google/gemma-3-27b-it"
}
],
"relation": "quantized"
} | 22,995 | 477,834 | False | 2025-03-21T14:11:46Z | 2025-04-06T03:06:57Z | transformers | 40 | 1 | null | image-text-to-text | {"parameters": {"I32": 3299788800, "BF16": 2633993840}, "total": 5933782640} | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.json",
"config.json",
"convert_flax.py",
"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetenso... | 7cf8bdc81343c635390dd1e1bf590ab22dd6f366 | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"conversational",
"arxiv:1905.07830",
"arxiv:1905.10044",
"arxiv:1911.11641",
"arxiv:1904.09728",
"arxiv:1705.03551",
"arxiv:1911.01547",
"arxiv:1907.10641",
"arxiv:1903.00161",
"arxiv:2009.03300",
"arxiv:2304.06364",
"arxi... | null | {"architectures": ["Gemma3ForConditionalGeneration"], "model_type": "gemma3", "quantization_config": {"bits": 4, "quant_method": "awq"}, "processor_config": {"chat_template": "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n {%- if messages[0]['content'] is string -%}\n {%- set first_user_prefix ... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": "google/gemma-3-27b-it", "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "gemma", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": null, "extra_gated_heading": "Access Gemma ... | null | null | [
"gemma"
] | null | null | 5,933,782,640 | null | null | [
"AutoModelForImageTextToText",
"Gemma3ForConditionalGeneration",
"gemma3"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
67dd8463d7019776f5fc5b23 | Qwen/Qwen2.5-VL-32B-Instruct | Qwen | null | 100,464 | 8,418,405 | False | 2025-03-21T15:23:15Z | 2025-04-14T10:55:03Z | transformers | 477 | 1 | null | image-text-to-text | {"parameters": {"BF16": 32763876352, "F32": 688841984}, "total": 33452718336} | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.json",
"config.json",
"configuration.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00018.safetensors",
"model-00002-of-00018.safetensors",
"model-00003-of-00018.safetensors",
"model-00004-of-00018.safetensors",... | 7cfb30d71a1f4f49a57592323337a4a4727301da | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"multimodal",
"conversational",
"en",
"arxiv:2309.00071",
"arxiv:2502.13923",
"license:apache-2.0",
"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": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": ["multimodal"]} | null | null | [
"apache-2.0"
] | null | [
"en"
] | 33,452,718,336 | null | null | [
"qwen2_5_vl",
"AutoModelForImageTextToText",
"Qwen2_5_VLForConditionalGeneration"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
67e0642a3d11aa67c10e88e2 | OddTheGreat/Core_24B_V.1 | OddTheGreat | {
"models": [
{
"_id": "67d95813459ca54b4c9658f4",
"id": "Gryphe/Pantheon-RP-1.8-24b-Small-3.1"
},
{
"_id": "67b86d3d36412daa979b1a47",
"id": "OddTheGreat/Apparatus_24B"
},
{
"_id": "67d8a5ecb515684187db1169",
"id": "mrfakename/mistral-small-3.1-24b-instruct-250... | 7 | 306 | False | 2025-03-23T19:42:34Z | 2025-03-24T07:40:06Z | transformers | 14 | 1 | null | text-generation | {"parameters": {"F16": 23572403200}, "total": 23572403200} | [
".gitattributes",
"README.md",
"config.json",
"mergekit_config.yml",
"model-00001-of-00010.safetensors",
"model-00002-of-00010.safetensors",
"model-00003-of-00010.safetensors",
"model-00004-of-00010.safetensors",
"model-00005-of-00010.safetensors",
"model-00006-of-00010.safetensors",
"model-0000... | a1f8fe6b72b7830733299dc36a28c413313a110c | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"roleplay",
"creative",
"conversational",
"en",
"ru",
"base_model:Gryphe/Pantheon-RP-1.8-24b-Small-3.1",
"base_model:merge:Gryphe/Pantheon-RP-1.8-24b-Small-3.1",
"base_model:OddTheGreat/Apparatus_24B",
"bas... | 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... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["Gryphe/Pantheon-RP-1.8-24b-Small-3.1", "mrfakename/mistral-small-3.1-24b-instruct-2503-hf", "OddTheGreat/Apparatus_24B"], "datasets": null, "eval_results": null, "language": ["en", "ru"], "library_name": "transformers", "license": null, "license_name": null, "license_link": null, "metrics": null, "mode... | # Core
This is a merge of pretrained language models
With new Mistral recently released, and being slightly better than it predecessor, i wanted to update Apparatus.
Also, i tested new pantheon, and i like how it mimic human expressions and mannerisms, so idea of new merge was born.
Goal of this merge is transfer ... | null | null | null | [
"en",
"ru"
] | 23,572,403,200 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67e0d8c17a34afcaffb48bd3 | huihui-ai/gemma-3-12b-it-abliterated | huihui-ai | {
"models": [
{
"_id": "67c35be6eae05d8f94fae4c2",
"id": "google/gemma-3-12b-it"
}
],
"relation": "finetune"
} | 536 | 9,174 | False | 2025-03-24T04:00:01Z | 2025-04-01T06:01:48Z | transformers | 23 | 1 | null | image-text-to-text | {"parameters": {"BF16": 12187325040}, "total": 12187325040} | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.json",
"config.json",
"generation_config.json",
"model-00001-of-00005.safetensors",
"model-00002-of-00005.safetensors",
"model-00003-of-00005.safetensors",
"model-00004-of-00005.safetensors",
"model-00005-of-00005.safetensors",
... | 33b9e7402b3d8b396afdd9a3cfcefe391bf7a696 | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"abliterated",
"uncensored",
"conversational",
"base_model:google/gemma-3-12b-it",
"base_model:finetune:google/gemma-3-12b-it",
"license:gemma",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["Gemma3ForConditionalGeneration"], "model_type": "gemma3", "processor_config": {"chat_template": "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n {%- if messages[0]['content'] is string -%}\n {%- set first_user_prefix = messages[0]['content'] + '\n\n' -%}\n {%- else -%}\n ... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": "google/gemma-3-12b-it", "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "gemma", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": ["abliterated", "uncensored"], "extra_gated... | # huihui-ai/gemma-3-12b-it-abliterated
This is an uncensored version of [google/gemma-3-12b-it](https://huggingface.co/google/gemma-3-12b-it) 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, pr... | null | [
"gemma"
] | null | null | 12,187,325,040 | null | null | [
"AutoModelForImageTextToText",
"Gemma3ForConditionalGeneration",
"gemma3"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
67e4d2530a7b19777e71a1a7 | Simonlee711/Clinical_ModernBERT | Simonlee711 | {
"models": [
{
"_id": "6759799ed862e62a825b5413",
"id": "answerdotai/ModernBERT-base"
}
],
"relation": "finetune"
} | 13,625 | 132,923 | False | 2025-03-27T04:21:39Z | 2025-05-11T14:21:05Z | transformers | 39 | 1 | null | feature-extraction | {"parameters": {"F32": 136629952}, "total": 136629952} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 1d7e9375e035e13211f3be8888eefc4d6e7d394c | [
"transformers",
"safetensors",
"bert",
"fill-mask",
"biomedical-text",
"nlp",
"biomedical-nlp",
"discharge-notes",
"healthcare",
"pubmed",
"feature-extraction",
"en",
"dataset:ncbi/pubmed",
"arxiv:2504.03964",
"base_model:answerdotai/ModernBERT-base",
"base_model:finetune:answerdotai/M... | null | {"architectures": ["MosaicBertForMaskedLM"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | {"base_model": ["answerdotai/ModernBERT-base"], "datasets": ["ncbi/pubmed"], "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "feature-extraction", "tags": ["biomedical-text", "nlp... | null | null | [
"mit"
] | [
"ncbi/pubmed"
] | [
"en"
] | 136,629,952 | null | null | [
"AutoModelForMaskedLM",
"bert",
"MosaicBertForMaskedLM"
] | [
"fill-mask",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
67e531c3dad3dee127f34e34 | jinaai/jina-reranker-m0 | jinaai | {
"models": [
{
"_id": "66cee7970454d6467b65060e",
"id": "Qwen/Qwen2-VL-2B-Instruct"
}
],
"relation": "finetune"
} | 241,705 | 849,306 | False | 2025-03-27T11:08:51Z | 2025-07-25T01:11:10Z | transformers | 117 | 1 | null | text-classification | {"parameters": {"BF16": 2444721665}, "total": 2444721665} | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.json",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"modeling.py",
"preprocessor_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 5b91da00be08ae2949e4e842b94d721c5c31eda3 | [
"transformers",
"safetensors",
"qwen2_vl",
"feature-extraction",
"vidore",
"reranker",
"text-classification",
"custom_code",
"multilingual",
"base_model:Qwen/Qwen2-VL-2B-Instruct",
"base_model:finetune:Qwen/Qwen2-VL-2B-Instruct",
"license:cc-by-nc-4.0",
"region:eu"
] | null | {"architectures": ["JinaVLForRanking"], "auto_map": {"AutoModel": "modeling.JinaVLForRanking"}, "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'] != 'syste... | {
"auto_model": "AutoModel",
"custom_class": "modeling.JinaVLForRanking",
"pipeline_tag": "feature-extraction",
"processor": "AutoProcessor"
} | {"base_model": ["Qwen/Qwen2-VL-2B-Instruct"], "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-classification", "tags": ["vidore", "reran... | null | null | [
"cc-by-nc-4.0"
] | null | [
"multilingual"
] | 2,444,721,665 | null | null | [
"AutoModel",
"qwen2_vl",
"JinaVLForRanking",
"modeling.JinaVLForRanking"
] | [
"feature-extraction",
"text-classification"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
67e6145c50d4ec63ac62112b | Novaciano/Jormungandr-3.2-1B | Novaciano | {
"models": [
{
"_id": "67c635c3ed20d64ff458e168",
"id": "Novaciano/La_Mejor_Mezcla-3.2-1B"
},
{
"_id": "67db4d54a43da5a5f761ccd9",
"id": "Novaciano/Pandemonium-3.2-1B"
}
],
"relation": "merge"
} | 2 | 13 | False | 2025-03-28T03:15:40Z | 2025-03-28T03:19:28Z | transformers | 1 | 1 | null | text-generation | {"parameters": {"BF16": 1498482688}, "total": 1498482688} | [
".gitattributes",
"README.md",
"config.json",
"mergekit_config.yml",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tok... | 17172214697a05341918beec20abf5dd6668d3b0 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:Novaciano/La_Mejor_Mezcla-3.2-1B",
"base_model:merge:Novaciano/La_Mejor_Mezcla-3.2-1B",
"base_model:Novaciano/Pandemonium-3.2-1B",
"base_model:merge:Novaciano/Pandemonium-3.2-1B",
"tex... | 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": ["Novaciano/Pandemonium-3.2-1B", "Novaciano/La_Mejor_Mezcla-3.2-1B"], "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": ["mergekit", "mer... | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [Arcee Fusion](https://arcee.ai) merge method using [Novaciano/La_Mejor_Mezcla-3.2-1B](https://huggingface.co/Novaciano/La_Mejor_Mezcla... | null | null | null | null | 1,498,482,688 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67e6763896c026c35f2ad347 | BSC-LT/RoBERTa-ca | BSC-LT | null | 867 | 10,349 | False | 2025-03-28T10:13:12Z | 2025-08-08T09:10:44Z | transformers | 2 | 1 | null | fill-mask | {"parameters": {"F32": 124777728}, "total": 124777728} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | 554351824575b92d592127a8ba60c98ff39df1c8 | [
"transformers",
"safetensors",
"roberta",
"fill-mask",
"catalan",
"ca",
"license:apache-2.0",
"endpoints_compatible",
"region:eu"
] | null | {"architectures": ["RobertaForMaskedLM"], "model_type": "roberta", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": "<pad>", "mask_token": "<mask>", "unk_token": "<unk>", "use_default_system_prompt": false}} | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["ca"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["roberta", "fill-mask", "catalan"]} | null | null | [
"apache-2.0"
] | null | [
"ca"
] | 124,777,728 | null | null | [
"roberta",
"AutoModelForMaskedLM",
"RobertaForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
67eb011e5efb3c1d5eefd259 | deepcogito/cogito-v1-preview-llama-8B | deepcogito | {
"models": [
{
"_id": "66944f1fe0c5c2e493a804f5",
"id": "meta-llama/Llama-3.1-8B"
}
],
"relation": "finetune"
} | 338 | 21,351 | False | 2025-03-31T20:54:54Z | 2025-04-08T04:39:28Z | transformers | 51 | 1 | null | text-generation | {"parameters": {"BF16": 8030261248}, "total": 8030261248} | [
".gitattributes",
"README.md",
"config.json",
"images/3b_8b_tool_calling_benchmarks.png",
"images/8b_benchmarks.png",
"images/README",
"images/deep-cogito-logo.png",
"images/livebench_global_average.png",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-000... | 64c42369b3f322fbffb277bfff146551dd2823cc | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"base_model:meta-llama/Llama-3.1-8B",
"base_model:finetune:meta-llama/Llama-3.1-8B",
"license:llama3.1",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{- bos_token }}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n{%- if not enable_thinking is defined %}\n {%- set enable_thinking = false %}\n{%- endif... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["meta-llama/Llama-3.1-8B"], "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "llama3.1", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": null} | <p align="center">
<img src="images/deep-cogito-logo.png" alt="Logo" width="40%">
</p>
# Cogito v1 preview - 8B
[Blog Post](https://www.deepcogito.com/research/cogito-v1-preview)
The Cogito LLMs are instruction tuned generative models (text in/text out). All models are released under an open license for commercial... | null | [
"llama3.1"
] | null | null | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67ec2db5412367ea6cdd7dcc | huihui-ai/Qwen2.5-VL-32B-Instruct-abliterated | huihui-ai | {
"models": [
{
"_id": "67dd8463d7019776f5fc5b23",
"id": "Qwen/Qwen2.5-VL-32B-Instruct"
}
],
"relation": "finetune"
} | 581 | 9,401 | False | 2025-04-01T18:17:25Z | 2025-11-07T23:37:16Z | transformers | 18 | 1 | null | image-text-to-text | {"parameters": {"BF16": 33452718336}, "total": 33452718336} | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.json",
"config.json",
"configuration.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",... | e2ca02036dee6045e138b122ad097b9b49eb6f96 | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"multimodal",
"abliterated",
"uncensored",
"conversational",
"en",
"base_model:Qwen/Qwen2.5-VL-32B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-32B-Instruct",
"license:apache-2.0",
"text-generation-inference",
"endpoints... | 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": ["Qwen/Qwen2.5-VL-32B-Instruct"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": ["multimodal", "abliterated... | # huihui-ai/Qwen2.5-VL-32B-Instruct-abliterated
This is an uncensored version of [Qwen/Qwen2.5-VL-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-32B-Instruct) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it)... | null | [
"apache-2.0"
] | null | [
"en"
] | 33,452,718,336 | null | null | [
"qwen2_5_vl",
"AutoModelForImageTextToText",
"Qwen2_5_VLForConditionalGeneration"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
67f37cb9b32c04093ae29727 | Zyphra/ZR1-1.5B | Zyphra | {
"models": [
{
"_id": "678e11922b39b4ed1381531b",
"id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B"
}
],
"relation": "finetune"
} | 2,321 | 18,302 | False | 2025-04-07T07:20:25Z | 2025-07-14T23:04:35Z | transformers | 72 | 1 | null | text-generation | {"parameters": {"F32": 1777088000}, "total": 1777088000} | [
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"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"zr1-1.5b-livebench.png",
"zr1_livebench_greedy_... | 6108a26d0cd7f378704e281ee4d842c4a055cb4a | [
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"en",
"dataset:AI-MO/NuminaMath-CoT",
"dataset:codeparrot/apps",
"dataset:deepmind/code_contests",
"dataset:BAAI/TACO",
"dataset:MatrixStudio/Codeforces-Python-Submissions",
"arxiv:2502.01456",
"arxiv:2503.07572",
... | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_fi... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B"], "datasets": ["AI-MO/NuminaMath-CoT", "codeparrot/apps", "deepmind/code_contests", "BAAI/TACO", "MatrixStudio/Codeforces-Python-Submissions"], "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "mit", "license_name": null, "l... | null | null | [
"mit"
] | [
"AI-MO/NuminaMath-CoT",
"codeparrot/apps",
"deepmind/code_contests",
"BAAI/TACO",
"MatrixStudio/Codeforces-Python-Submissions"
] | [
"en"
] | 1,777,088,000 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67f41dae290ea3246e6f9bcb | nvidia/Llama-3_1-Nemotron-Ultra-253B-v1 | nvidia | null | 1,789 | 598,758 | False | 2025-04-07T18:47:10Z | 2025-10-15T16:21:20Z | transformers | 343 | 1 | null | text-generation | null | [
".gitattributes",
"BIAS.md",
"EXPLAINABILITY.md",
"PRIVACY.md",
"README.md",
"SAFETY_and_SECURITY.md",
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"block_config.py",
"config.json",
"configuration_decilm.py",
"model-00001-of-00049.safetensors",
"model-00002-of-00049.safetensors",
"model-00003-of-00... | 5b47def5b8957142d82faeb44bfad9349d02840d | [
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"text-generation",
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"llama-3",
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"conversational",
"custom_code",
"en",
"arxiv:2503.18908",
"arxiv:2505.00949",
"arxiv:2502.00203",
"arxiv:2411.19146",
"license:other",
"region:us"
] | null | {"architectures": ["DeciLMForCausalLM"], "auto_map": {"AutoConfig": "configuration_decilm.DeciLMConfig", "AutoModelForCausalLM": "modeling_decilm.DeciLMForCausalLM"}, "model_type": "nemotron-nas", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{- bos_token }}{%- if messages[0]['role'] == 'sys... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "modeling_decilm.DeciLMForCausalLM",
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "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_name": null,... | null | null | [
"other",
"nvidia-open-model-license",
"https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/"
] | null | [
"en"
] | null | null | null | [
"DeciLMForCausalLM",
"AutoModelForCausalLM",
"modeling_decilm.DeciLMForCausalLM",
"nemotron-nas"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67f4c4b7c6c601a95724812a | zai-org/GLM-Z1-9B-0414 | zai-org | null | 2,004 | 25,842 | False | 2025-04-08T06:39:51Z | 2025-04-28T10:07:32Z | transformers | 86 | 1 | null | text-generation | {"parameters": {"BF16": 9400279040}, "total": 9400279040} | [
".gitattributes",
"LICENSE",
"README.md",
"chat_template.jinja",
"config.json",
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"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.ind... | b221b06fefb23ca320922cf6e68ab5f2fb82de81 | [
"transformers",
"safetensors",
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"text-generation",
"conversational",
"zh",
"en",
"arxiv:2406.12793",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["Glm4ForCausalLM"], "model_type": "glm4", "tokenizer_config": {"chat_template": "[gMASK]<sop>{%- if tools -%}<|system|>\u4f60\u662f\u4e00\u4e2a\u540d\u4e3a ChatGLM \u7684\u4eba\u5de5\u667a\u80fd\u52a9\u624b\u3002\u4f60\u662f\u57fa\u4e8e\u667a\u8c31 AI \u516c\u53f8\u8bad\u7ec3\u7684\u8bed\u8a00\u6a21\... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["zh", "en"], "library_name": "transformers", "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": null} | null | null | [
"mit"
] | null | [
"zh",
"en"
] | 9,400,279,040 | null | null | [
"AutoModelForCausalLM",
"glm4",
"Glm4ForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67f6e280f80cab33cab97576 | microsoft/Phi-4-reasoning | microsoft | {
"models": [
{
"_id": "67597bd1b9cdca50cb621f94",
"id": "microsoft/phi-4"
}
],
"relation": "finetune"
} | 16,180 | 641,612 | False | 2025-04-09T21:11:28Z | 2025-11-24T16:57:55Z | transformers | 219 | 1 | null | text-generation | null | [
".gitattributes",
"CODE_OF_CONDUCT.md",
"LICENSE",
"README.md",
"SECURITY.md",
"config.json",
"data_summary_card.md",
"generation_config.json",
"model-00001-of-00006.safetensors",
"model-00002-of-00006.safetensors",
"model-00003-of-00006.safetensors",
"model-00004-of-00006.safetensors",
"mod... | 1de18ec97600877ce63dbf60c73b998da99f0195 | [
"transformers",
"safetensors",
"phi3",
"text-generation",
"phi",
"nlp",
"math",
"code",
"chat",
"conversational",
"reasoning",
"en",
"arxiv:2504.21318",
"base_model:microsoft/phi-4",
"base_model:finetune:microsoft/phi-4",
"license:mit",
"text-generation-inference",
"endpoints_compa... | null | {"architectures": ["Phi3ForCausalLM"], "model_type": "phi3", "tokenizer_config": {"bos_token": "<|endoftext|>", "chat_template": "<|im_start|>system<|im_sep|>You are Phi, a language model trained by Microsoft to help users. Your role as an assistant involves thoroughly exploring questions through a systematic thinking ... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["microsoft/phi-4"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "mit", "license_name": null, "license_link": "https://huggingface.co/microsoft/Phi-4-reasoning/resolve/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-gene... | # Phi-4-reasoning Model Card
[Phi-4-reasoning Technical Report](https://huggingface.co/papers/2504.21318)
## Model Summary
| | |
|-------------------------|------------------------------------------------------... | null | [
"mit",
"https://huggingface.co/microsoft/Phi-4-reasoning/resolve/main/LICENSE"
] | null | [
"en"
] | null | null | null | [
"AutoModelForCausalLM",
"phi3",
"Phi3ForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67f88245e10940947f043a30 | ServiceNow-AI/Apriel-5B-Instruct | ServiceNow-AI | {
"models": [
{
"_id": "67d315bf4bf0656857737f2b",
"id": "ServiceNow-AI/Apriel-5B-Base"
}
],
"relation": "finetune"
} | 2,563 | 40,054 | False | 2025-04-11T02:45:25Z | 2025-05-28T20:17:26Z | transformers | 53 | 1 | null | text-generation | {"parameters": {"BF16": 4832071680}, "total": 4832071680} | [
".gitattributes",
"LICENSE.md",
"README.md",
"config.json",
"configuration_apriel.py",
"generation_config.json",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"modeling_apriel.py",
"special_tokens_map.json",
"tokenizer.json",
"tokeniz... | 4788420791f0195e400f61aa76a2b15f0792fc94 | [
"transformers",
"safetensors",
"apriel",
"text-generation",
"conversational",
"custom_code",
"en",
"base_model:ServiceNow-AI/Apriel-5B-Base",
"base_model:finetune:ServiceNow-AI/Apriel-5B-Base",
"license:mit",
"region:us"
] | null | {"architectures": ["AprielForCausalLM"], "auto_map": {"AutoConfig": "configuration_apriel.AprielConfig", "AutoModelForCausalLM": "modeling_apriel.AprielForCausalLM", "AutoModel": "modeling_apriel.AprielModel"}, "model_type": "apriel", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% if not add_generation_p... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "modeling_apriel.AprielForCausalLM",
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": ["ServiceNow-AI/Apriel-5B-Base"], "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": null, "tags": null} | # Apriel-5B
`/ˈɑː.pri.əl/`
## Table of Contents
1. [Model Summary](#model-summary)
2. [Evaluation](#evaluation)
3. [Intended Use](#intended-use)
4. [Limitations](#limitations)
5. [Security and Responsible Use](#security-and-responsible-use)
6. [License](#license)
7. [Citation](#citation)
## Model Summar... | null | [
"mit"
] | null | [
"en"
] | 4,832,071,680 | null | null | [
"AprielForCausalLM",
"apriel",
"AutoModelForCausalLM",
"modeling_apriel.AprielForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67fd2d0f25056b8cec02b9ce | ibm-granite/granite-speech-3.3-8b | ibm-granite | {
"models": [
{
"_id": "67f65cf33ceef1ba222d212a",
"id": "ibm-granite/granite-3.3-8b-instruct"
}
],
"relation": "finetune"
} | 75,060 | 399,835 | False | 2025-04-14T15:43:11Z | 2025-08-19T14:13:16Z | transformers | 163 | 1 | null | automatic-speech-recognition | {"parameters": {"BF16": 8648711424}, "total": 8648711424} | [
".gitattributes",
"10226_10111_000000.wav",
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"generation_config.json",
"merges.txt",
"model-00001-of-00009.safetensors",
"model-00002-of-00009.safetensors",
"model-00003... | 315afb31116c9b79dc15864d091e59ca6bf10cf9 | [
"transformers",
"safetensors",
"granite_speech",
"automatic-speech-recognition",
"multilingual",
"en",
"fr",
"de",
"es",
"pt",
"arxiv:2505.08699",
"base_model:ibm-granite/granite-3.3-8b-instruct",
"base_model:finetune:ibm-granite/granite-3.3-8b-instruct",
"license:apache-2.0",
"endpoints... | null | {"architectures": ["GraniteSpeechForConditionalGeneration"], "model_type": "granite_speech", "tokenizer_config": {"bos_token": "<|end_of_text|>", "eos_token": "<|end_of_text|>", "pad_token": "<|end_of_text|>", "unk_token": "<|end_of_text|>"}, "chat_template_jinja": "{%- if messages[0]['role'] == 'system' %}\n {%- s... | {
"auto_model": "AutoModelForSpeechSeq2Seq",
"custom_class": null,
"pipeline_tag": "automatic-speech-recognition",
"processor": "AutoProcessor"
} | {"base_model": ["ibm-granite/granite-3.3-8b-instruct"], "datasets": null, "eval_results": null, "language": ["multilingual", "en", "fr", "de", "es", "pt"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tag... | # Granite-speech-3.3-8b (revision 3.3.2)
**Model Summary:**
Granite-speech-3.3-8b is a compact and efficient speech-language model, specifically designed for automatic speech recognition (ASR) and automatic speech translation (AST). Granite-speech-3.3-8b uses a two-pass design, unlike integrated models that combine sp... | null | [
"apache-2.0"
] | null | [
"multilingual",
"en",
"fr",
"de",
"es",
"pt"
] | 8,648,711,424 | null | null | [
"GraniteSpeechForConditionalGeneration",
"AutoModelForSpeechSeq2Seq",
"granite_speech"
] | [
"automatic-speech-recognition"
] | [
"multimodal"
] | [
"audio"
] | [
"text"
] |
67fd7f40dcbe0fe4681d8071 | facebook/KernelLLM | facebook | {
"models": [
{
"_id": "6698d8a0653e4babe21e1e7d",
"id": "meta-llama/Llama-3.1-8B-Instruct"
}
],
"relation": "finetune"
} | 355 | 21,841 | False | 2025-04-14T21:33:52Z | 2026-01-15T01:12:34Z | transformers | 195 | 1 | null | text-generation | null | [
".gitattributes",
"LICENSE.pdf",
"README.md",
"config.json",
"generation_config.json",
"kernelllm.py",
"media/blog_post_model_performance.png",
"media/kernelllm_pass_at_k_scaling.png",
"media/llm_performance_comparison.png",
"media/triton-kernel-workflow.png",
"model-00001-of-00004.safetensors",... | 26d1191a7186ac499448a868a2ecdf9ef8d3abd5 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"dataset:ScalingIntelligence/KernelBench",
"dataset:GPUMODE/KernelBook",
"base_model:meta-llama/Llama-3.1-8B-Instruct",
"base_model:finetune:meta-llama/Llama-3.1-8B-Instruct",
"license:other",
"text-generation-inference... | 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": ["meta-llama/Llama-3.1-8B-Instruct"], "datasets": ["ScalingIntelligence/KernelBench", "GPUMODE/KernelBook"], "eval_results": null, "language": null, "library_name": "transformers", "license": "other", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "... | null | null | [
"other"
] | [
"ScalingIntelligence/KernelBench",
"GPUMODE/KernelBook"
] | null | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67fddf59913c97aa32fc11db | microsoft/bitnet-b1.58-2B-4T-bf16 | microsoft | null | 6,398 | 64,112 | False | 2025-04-15T04:23:53Z | 2025-12-17T18:12:29Z | transformers | 37 | 1 | null | text-generation | {"parameters": {"BF16": 2412820480}, "total": 2412820480} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"data_summary_card.md",
"generation_config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 276681394656abdadb8e80e5b2c3db5e5d7fcaff | [
"transformers",
"safetensors",
"bitnet",
"text-generation",
"chat",
"large-language-model",
"conversational",
"custom_code",
"en",
"arxiv:2504.12285",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BitNetForCausalLM"], "auto_map": {"AutoConfig": "configuration_bitnet.BitNetConfig", "AutoModelForCausalLM": "modeling_bitnet.BitNetForCausalLM"}, "model_type": "bitnet", "quantization_config": {"quant_method": "bitnet"}, "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% se... | {
"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/bitnet-b1.58-2B-4T/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags"... | # BitNet b1.58 2B4T - Scaling Native 1-bit LLM
This repository contains the weights for **BitNet b1.58 2B4T**, the first open-source, native 1-bit Large Language Model (LLM) at the 2-billion parameter scale, developed by Microsoft Research.
Trained on a corpus of 4 trillion tokens, this model demonstrates that native... | null | [
"mit",
"https://huggingface.co/microsoft/bitnet-b1.58-2B-4T/blob/main/LICENSE"
] | null | [
"en"
] | 2,412,820,480 | null | null | [
"AutoModelForCausalLM",
"BitNetForCausalLM",
"bitnet"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67feba1d76f7fc788ad9c508 | mlx-community/gemma-3-27b-it-qat-4bit | mlx-community | {
"models": [
{
"_id": "67ff92c1a93c489f94ab29c6",
"id": "OpenGVLab/InternVL3-1B-Instruct"
}
],
"relation": "finetune"
} | 114,648 | 1,175,994 | False | 2025-04-15T19:57:17Z | 2025-04-19T15:27:04Z | transformers | 22 | 1 | null | image-text-to-text | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.json",
"config.json",
"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"pr... | fc4e000f32af1b7b6779294e490a7d2a80bac611 | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"internvl",
"custom_code",
"mlx",
"conversational",
"multilingual",
"dataset:OpenGVLab/MMPR-v1.2",
"base_model:OpenGVLab/InternVL3-1B-Instruct",
"base_model:finetune:OpenGVLab/InternVL3-1B-Instruct",
"license:other",
"text-gene... | null | {"architectures": ["Gemma3ForConditionalGeneration"], "model_type": "gemma3", "processor_config": {"chat_template": "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n {%- if messages[0]['content'] is string -%}\n {%- set first_user_prefix = messages[0]['content'] + '\n\n' -%}\n {%- else -%}\n ... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": ["OpenGVLab/InternVL3-1B-Instruct"], "datasets": ["OpenGVLab/MMPR-v1.2"], "eval_results": null, "language": ["multilingual"], "library_name": "transformers", "license": "other", "license_name": "qwen", "license_link": "https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE", "metrics": null, ... | # mlx-community/gemma-3-27b-it-qat-4bit
This model was converted to MLX format from [`google/gemma-3-27b-it-qat-q4_0-unquantized`]() using mlx-vlm version **0.1.23**.
Refer to the [original model card](https://huggingface.co/google/gemma-3-27b-it-qat-q4_0-unquantized) for more details on the model.
## Use with mlx
```... | null | [
"other",
"qwen",
"https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE"
] | [
"OpenGVLab/MMPR-v1.2"
] | [
"multilingual"
] | null | null | null | [
"AutoModelForImageTextToText",
"Gemma3ForConditionalGeneration",
"gemma3"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
6802916483be6c0584b1c245 | nvidia/Cosmos-Reason1-7B | nvidia | {
"models": [
{
"_id": "6795ffcd88cd7c0294702a72",
"id": "Qwen/Qwen2.5-VL-7B-Instruct"
}
],
"relation": "finetune"
} | 61,191 | 2,122,899 | False | 2025-04-18T17:52:36Z | 2025-12-10T00:08:29Z | transformers | 236 | 1 | null | image-text-to-text | null | [
".gitattributes",
"README.md",
"chat_template.json",
"config.json",
"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"preprocessor_config.json"... | 375e24000b24baed78f4618d3dd779e47cd96323 | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"nvidia",
"cosmos",
"conversational",
"en",
"dataset:nvidia/Cosmos-Reason1-SFT-Dataset",
"dataset:nvidia/Cosmos-Reason1-RL-Dataset",
"dataset:nvidia/Cosmos-Reason1-Benchmark",
"arxiv:2503.15558",
"base_model:Qwen/Qwen2.5-VL-7... | 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": ["Qwen/Qwen2.5-VL-7B-Instruct"], "datasets": ["nvidia/Cosmos-Reason1-SFT-Dataset", "nvidia/Cosmos-Reason1-RL-Dataset", "nvidia/Cosmos-Reason1-Benchmark"], "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "other", "license_name": "nvidia-open-model-license", "license_li... | # **Cosmos-Reason1: Physical AI Common Sense and Embodied Reasoning Models**
[**Cosmos**](https://huggingface.co/collections/nvidia/cosmos-reason1-67c9e926206426008f1da1b7) | [**Code**](https://github.com/nvidia-cosmos/cosmos-reason1) | [**Paper**](https://arxiv.org/abs/2503.15558) | [**Paper Website**](https://resear... | null | [
"other",
"nvidia-open-model-license",
"https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license"
] | [
"nvidia/Cosmos-Reason1-SFT-Dataset",
"nvidia/Cosmos-Reason1-RL-Dataset",
"nvidia/Cosmos-Reason1-Benchmark"
] | [
"en"
] | null | null | null | [
"qwen2_5_vl",
"AutoModelForImageTextToText",
"Qwen2_5_VLForConditionalGeneration"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
68049e2c8b9749508821e51f | yamatazen/Twilight-SCE-12B | yamatazen | {
"models": [
{
"_id": "66cc2918a9891d5b43bf64d5",
"id": "Elizezen/Himeyuri-v0.1-12B"
},
{
"_id": "66e77e198aa82e56feb0bfef",
"id": "inflatebot/MN-12B-Mag-Mell-R1"
},
{
"_id": "67faa6a5274eaeaa9987ef61",
"id": "shisa-ai/shisa-v2-mistral-nemo-12b"
},
{
... | 4 | 301 | False | 2025-04-20T07:11:40Z | 2025-04-20T08:40:07Z | transformers | 3 | 1 | null | text-generation | {"parameters": {"BF16": 12247802880}, "total": 12247802880} | [
".gitattributes",
"README.md",
"Twilight-SCE-12B.png",
"config.json",
"mergekit_config.yml",
"model-00001-of-00005.safetensors",
"model-00002-of-00005.safetensors",
"model-00003-of-00005.safetensors",
"model-00004-of-00005.safetensors",
"model-00005-of-00005.safetensors",
"model.safetensors.inde... | ebd14e3220c10ff84f34887527ef929a8635f746 | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"chatml",
"conversational",
"en",
"ja",
"arxiv:2408.07990",
"base_model:Elizezen/Himeyuri-v0.1-12B",
"base_model:merge:Elizezen/Himeyuri-v0.1-12B",
"base_model:inflatebot/MN-12B-Mag-Mell-R1",
"base_model:me... | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{%- if messages[0][\"role\"] == \"system\" %}\n {%- set system_message = messages[0][\"content\"] %}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set loop_messages = mes... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["shisa-ai/shisa-v2-mistral-nemo-12b", "inflatebot/MN-12B-Mag-Mell-R1", "yamatazen/Himeyuri-Magnum-12B", "Elizezen/Himeyuri-v0.1-12B"], "datasets": null, "eval_results": null, "language": ["en", "ja"], "library_name": "transformers", "license": null, "license_name": null, "license_link": null, "metrics":... | 
This is a Mistral model with ChatML tokens added to the tokenizer.
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Me... | null | null | null | [
"en",
"ja"
] | 12,247,802,880 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
68054153877cc15324cca4e7 | leolee99/PIGuard | leolee99 | {
"models": [
{
"_id": "621ffdc136468d709f17dee4",
"id": "microsoft/deberta-v3-base"
}
],
"relation": "finetune"
} | 3,204 | 26,811 | False | 2025-04-20T18:47:47Z | 2025-08-03T06:13:10Z | transformers | 7 | 1 | null | text-classification | {"parameters": {"F32": 184423682}, "total": 184423682} | [
".gitattributes",
"README.md",
"__init__.py",
"__pycache__/modeling_injecguard.cpython-310.pyc",
"__pycache__/modeling_piguard.cpython-312.pyc",
"added_tokens.json",
"assets/NotInject_distribution.png",
"assets/Results.png",
"assets/Visualization.png",
"assets/figure_performance.png",
"assets/fr... | dd78b24e330193a22d2293ac66922dd4f982f563 | [
"transformers",
"safetensors",
"piguard",
"text-classification",
"custom_code",
"en",
"base_model:microsoft/deberta-v3-base",
"base_model:finetune:microsoft/deberta-v3-base",
"license:mit",
"region:us"
] | null | {"architectures": ["PIGuard"], "auto_map": {"AutoConfig": "modeling_piguard.PIGuardConfig", "AutoModelForSequenceClassification": "modeling_piguard.PIGuard"}, "model_type": "piguard", "tokenizer_config": {"bos_token": "[CLS]", "cls_token": "[CLS]", "eos_token": "[SEP]", "mask_token": "[MASK]", "pad_token": "[PAD]", "se... | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": "modeling_piguard.PIGuard",
"pipeline_tag": "text-classification",
"processor": null
} | {"base_model": ["microsoft/deberta-v3-base"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "mit", "license_name": null, "license_link": null, "metrics": ["accuracy"], "model_name": null, "pipeline_tag": "text-classification", "tags": null} | null | null | [
"mit"
] | null | [
"en"
] | 184,423,682 | null | [
"accuracy"
] | [
"modeling_piguard.PIGuard",
"PIGuard",
"AutoModelForSequenceClassification",
"piguard"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
6806f6fe9204ead5a6cfb8a7 | soob3123/Veritas-12B | soob3123 | {
"models": [
{
"_id": "6803446001c33784d3801ae6",
"id": "soob3123/amoral-gemma3-12B-v2-qat"
}
],
"relation": "finetune"
} | 17 | 1,380 | False | 2025-04-22T01:55:10Z | 2025-05-03T02:35:43Z | transformers | 32 | 1 | null | text-generation | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.json",
"config.json",
"generation_config.json",
"model-00001-of-00005.safetensors",
"model-00002-of-00005.safetensors",
"model-00003-of-00005.safetensors",
"model-00004-of-00005.safetensors",
"model-00005-of-00005.safetensors",
... | 51d1ce94133d1ab191265c9ef569800496bef4be | [
"transformers",
"safetensors",
"gemma3_text",
"text-generation",
"philosophy",
"reasoning",
"logic",
"ethics",
"metaphysics",
"epistemology",
"critical-thinking",
"debate",
"dialogue",
"uncensored",
"conversational",
"en",
"dataset:AiresPucrs/stanford-encyclopedia-philosophy",
"dat... | null | {"architectures": ["Gemma3ForCausalLM"], "model_type": "gemma3_text", "processor_config": {"chat_template": "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n {%- if messages[0]['content'] is string -%}\n {%- set first_user_prefix = messages[0]['content'] + '\n\n' -%}\n {%- else -%}\n {%... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["soob3123/amoral-gemma3-12B-v2-qat"], "datasets": ["AiresPucrs/stanford-encyclopedia-philosophy", "Manel/Reddit_Stoicism_QA_610"], "eval_results": null, "language": ["en"], "library_name": "transformers", "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "... | 
# Veritas-12B
> *"Clarity in thought, rigor in argument."*
Veritas-12B emerges as a model forged in the pursuit of intellectual clarity and logical rigor. This 12B parameter model possesses superior ... | null | null | [
"AiresPucrs/stanford-encyclopedia-philosophy",
"Manel/Reddit_Stoicism_QA_610"
] | [
"en"
] | null | null | null | [
"gemma3_text",
"AutoModelForCausalLM",
"Gemma3ForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
680c06b6d0542962ebfa6067 | DeepHat/DeepHat-V1-7B | DeepHat | {
"models": [
{
"_id": "66e81d2494457ccb513ef9c9",
"id": "Qwen/Qwen2.5-Coder-7B"
}
],
"relation": "finetune"
} | 12,200 | 398,835 | False | 2025-04-25T22:03:34Z | 2025-08-15T00:04:06Z | transformers | 122 | 1 | null | text-generation | {"parameters": {"BF16": 7615616512}, "total": 7615616512} | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.jinja",
"config.json",
"deephat_grey_logo.svg",
"deephat_inline_logo.svg",
"generation_config.json",
"merges.txt",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"m... | 361a5ce60e67c815ff868a253fdfd54364dbb84f | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"code",
"qwen-coder",
"cybersecurity",
"devops",
"conversational",
"en",
"arxiv:2309.00071",
"base_model:Qwen/Qwen2.5-Coder-7B",
"base_model:finetune:Qwen/Qwen2.5-Coder-7B",
"license:apache-2.0",
"text-generation-inference",
"e... | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "eos_token": "<|im_end|>", "pad_token": "<|endoftext|>", "unk_token": null}, "chat_template_jinja": "{# Chat template (w/specific formatting for XLAM Qwen tool calling format #}\n{# System message #}\n{{- \"<|im_start... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"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": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["code", "qwen-coder", "cybersecurity",... | <br>
<br>
DeepHat is a model series that can be used for offensive and defensive cybersecurity. Access at [Deephat.ai](https://www.deephat.ai/) or go to [Kindo.ai](https://www.kindo.ai/) to create agents.
# Community
Join u... | null | [
"apache-2.0"
] | null | [
"en"
] | 7,615,616,512 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
680da7c9aa6c98cb395660ac | Qwen/Qwen3-30B-A3B | Qwen | {
"models": [
{
"_id": "680f0c1ce7b853214d784a83",
"id": "Qwen/Qwen3-30B-A3B-Base"
}
],
"relation": "finetune"
} | 1,465,903 | 7,605,079 | False | 2025-04-27T03:43:05Z | 2025-07-26T03:45:17Z | transformers | 869 | 1 | null | text-generation | null | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00016.safetensors",
"model-00002-of-00016.safetensors",
"model-00003-of-00016.safetensors",
"model-00004-of-00016.safetensors",
"model-00005-of-00016.safetensors",
"model-00006-of-0... | ad44e777bcd18fa416d9da3bd8f70d33ebb85d39 | [
"transformers",
"safetensors",
"qwen3_moe",
"text-generation",
"conversational",
"arxiv:2309.00071",
"arxiv:2505.09388",
"base_model:Qwen/Qwen3-30B-A3B-Base",
"base_model:finetune:Qwen/Qwen3-30B-A3B-Base",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | 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... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["Qwen/Qwen3-30B-A3B-Base"], "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen3-30B-A3B/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-g... | null | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen3-30B-A3B/blob/main/LICENSE"
] | null | null | null | null | null | [
"qwen3_moe",
"AutoModelForCausalLM",
"Qwen3MoeForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
680daa428cf9b86bd86e8f3e | ByteDance-Seed/Seed-Coder-8B-Base | ByteDance-Seed | null | 1,942 | 24,302 | False | 2025-04-27T03:53:38Z | 2025-06-06T02:18:09Z | transformers | 65 | 1 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"imgs/seed-coder_intro_performance.png",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"specia... | 049f843238b40ea67671836204f3d8585a679327 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:2506.03524",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<[begin\u2581of\u2581sentence]>", "eos_token": "<[end\u2581of\u2581sentence]>", "pad_token": "<[PAD\u2581TOKEN]>", "sep_token": "<[SEP\u2581TOKEN]>"}} | {
"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": "text-generation", "tags": null} | # Seed-Coder-8B-Base
<div align="left" style="line-height: 1;">
<a href="https://bytedance-seed-coder.github.io/" target="_blank" style="margin: 2px;">
<img alt="Homepage" src="https://img.shields.io/badge/Seed--Coder-Homepage-a468fe?color=a468fe&logoColor=white" style="display: inline-block; vertical-align: mid... | null | [
"mit"
] | null | null | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
680de24519f20ee635597034 | ByteDance-Seed/Seed-Coder-8B-Instruct | ByteDance-Seed | {
"models": [
{
"_id": "680daa428cf9b86bd86e8f3e",
"id": "ByteDance-Seed/Seed-Coder-8B-Base"
}
],
"relation": "finetune"
} | 7,704 | 47,091 | False | 2025-04-27T07:52:37Z | 2025-06-06T02:18:40Z | transformers | 110 | 1 | null | text-generation | {"parameters": {"BF16": 8250462208}, "total": 8250462208} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"imgs/seed-coder_intro_performance.png",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"specia... | 1c5af72afa21c22c9272a0b60a3a404195e88fcd | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:2506.03524",
"base_model:ByteDance-Seed/Seed-Coder-8B-Base",
"base_model:finetune:ByteDance-Seed/Seed-Coder-8B-Base",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<[begin\u2581of\u2581sentence]>", "chat_template": "{% set has_system = messages[0]['role'] == 'system' %}{% if not has_system %}{{ bos_token + 'system\nYou are an AI programming assistant, utilizing the Seed-Coder model, ... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["ByteDance-Seed/Seed-Coder-8B-Base"], "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": "text-generation", "tags": null} | # Seed-Coder-8B-Instruct
<div align="left" style="line-height: 1;">
<a href="https://bytedance-seed-coder.github.io/" target="_blank" style="margin: 2px;">
<img alt="Homepage" src="https://img.shields.io/badge/Seed--Coder-Homepage-a468fe?color=a468fe&logoColor=white" style="display: inline-block; vertical-align:... | null | [
"mit"
] | null | null | 8,250,462,208 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
680f0c3e6eacf22a04ee1219 | Qwen/Qwen3-8B-Base | Qwen | null | 1,583,455 | 9,686,357 | False | 2025-04-28T05:03:58Z | 2025-05-21T05:59:01Z | transformers | 95 | 1 | null | text-generation | {"parameters": {"BF16": 8190735360}, "total": 8190735360} | [
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"generation_config.json",
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"model-00004-of-00005.safetensors",
"model-00005-of-00005.safetensors",
"model.safetensors.index.json"... | 49e3418fbbbca6ecbdf9608b4d22e5a407081db4 | [
"transformers",
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"text-generation",
"conversational",
"arxiv:2505.09388",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
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] | 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": 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": null} | # Qwen3-8B-Base
## Qwen3 Highlights
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.
Building upon extensive advancements in training data, model architecture, and optimization techniques, Qwen3 delivers the following... | null | [
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680f0c5b4e1c1da6491f3b9d | Qwen/Qwen3-4B-Base | Qwen | null | 961,921 | 15,887,391 | False | 2025-04-28T05:04:27Z | 2025-07-26T03:45:37Z | transformers | 83 | 1 | null | text-generation | {"parameters": {"BF16": 4022468096}, "total": 4022468096} | [
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680f0cffb790c8c34a30bdf2 | Qwen/Qwen3-14B-Base | Qwen | null | 87,152 | 1,181,167 | False | 2025-04-28T05:07:11Z | 2025-07-26T03:45:33Z | transformers | 51 | 1 | null | text-generation | {"parameters": {"BF16": 14768307200}, "total": 14768307200} | [
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"endpoints_compatible",
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] | 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",
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} | {"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": null} | null | null | [
"apache-2.0"
] | null | null | 14,768,307,200 | null | null | [
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] | [
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680f0da2f99a20ddfc9a9f26 | Qwen/Qwen3-0.6B-Base | Qwen | null | 276,865 | 3,397,622 | False | 2025-04-28T05:09:54Z | 2025-07-26T03:45:42Z | transformers | 157 | 1 | null | text-generation | null | [
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] | 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",
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": null} | null | null | [
"apache-2.0"
] | null | null | null | null | null | [
"AutoModelForCausalLM",
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] | [
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"text"
] | [
"text"
] | [
"text"
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680f77951f10e4a4ecbd4ca5 | Qwen/Qwen3-32B-FP8 | Qwen | {
"models": [
{
"_id": "680daa1b62e834e6fd9fdbdf",
"id": "Qwen/Qwen3-32B"
}
],
"relation": "quantized"
} | 76,250 | 3,269,026 | False | 2025-04-28T12:41:57Z | 2025-07-26T03:46:13Z | transformers | 82 | 1 | null | text-generation | null | [
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] | null | {"architectures": ["Qwen3ForCausalLM"], "model_type": "qwen3", "quantization_config": {"quant_method": "fp8"}, "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%-... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["Qwen/Qwen3-32B"], "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen3-32B-FP8/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-generation... | null | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen3-32B-FP8/blob/main/LICENSE"
] | null | null | null | null | null | [
"AutoModelForCausalLM",
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"qwen3"
] | [
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] | [
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] | [
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] | [
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] |
680f884f000db02d8d148b99 | JetBrains/Mellum-4b-base | JetBrains | null | 2,382 | 70,762 | False | 2025-04-28T13:53:19Z | 2025-05-07T10:59:31Z | transformers | 440 | 1 | [{"name": "Mellum-4b-base", "results": [{"task": {"type": "text-generation"}, "dataset": {"type": "tianyang/repobench_python_v1.1", "name": "RepoBench 1.1 (Python)"}, "metrics": [{"name": "EM", "type": "exact_match", "value": 0.2591, "verified": false}, {"name": "EM \u2264 8k", "type": "exact_match", "value": 0.2797, "... | text-generation | {"parameters": {"BF16": 4019248128}, "total": 4019248128} | [
".gitattributes",
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"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 83cce2605fbdf6a3868627e9b0a5924e0072b94d | [
"transformers",
"safetensors",
"llama",
"text-generation",
"code",
"dataset:bigcode/the-stack",
"dataset:bigcode/the-stack-v2",
"dataset:bigcode/starcoderdata",
"dataset:bigcode/commitpack",
"license:apache-2.0",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"deploy:a... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "pad_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"datasets": ["bigcode/the-stack", "bigcode/the-stack-v2", "bigcode/starcoderdata", "bigcode/commitpack"], "library_name": "transformers", "license": "apache-2.0", "tags": ["code"], "model-index": [{"name": "Mellum-4b-base", "results": [{"task": {"type": "text-generation"}, "dataset": {"name": "RepoBench 1.1 (Python)",... | # Model Description
Mellum-4b-base is JetBrains' first open-source large language model (LLM) optimized for code-related tasks.
Trained on over 4 trillion tokens with a context window of 8192 tokens across multiple programming languages, Mellum-4b-base is tailored specifically for code completion.
The model follows a... | null | [
"apache-2.0"
] | [
"bigcode/the-stack",
"bigcode/the-stack-v2",
"bigcode/starcoderdata",
"bigcode/commitpack"
] | null | 4,019,248,128 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
680f891f1b2ee440399b274c | RedHatAI/gemma-3-27b-it-FP8-dynamic | RedHatAI | {
"models": [
{
"_id": "67c35b9bb236f0d365bf29d3",
"id": "google/gemma-3-27b-it"
}
],
"relation": "quantized"
} | 18,578 | 281,461 | False | 2025-04-28T13:56:47Z | 2025-06-09T15:12:26Z | transformers | 13 | 1 | null | image-text-to-text | {"parameters": {"BF16": 1837886064, "F8_E4M3": 25598361600}, "total": 27436247664} | [
".gitattributes",
"Notice",
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"model-00005-of-00006.saf... | 306078afe860ef87821018f28078ecf762f31455 | [
"transformers",
"safetensors",
"gemma3",
"image-text-to-text",
"vllm",
"vision",
"fp8",
"conversational",
"en",
"base_model:google/gemma-3-27b-it",
"base_model:quantized:google/gemma-3-27b-it",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"compressed-tensors... | null | {"architectures": ["Gemma3ForConditionalGeneration"], "model_type": "gemma3", "quantization_config": {"quant_method": "compressed-tensors"}, "processor_config": {"chat_template": "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n {%- if messages[0]['content'] is string -%}\n {%- set first_user_pre... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": "google/gemma-3-27b-it", "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md", "metrics": null, "model_name": nu... | # gemma-3-27b-it-FP8-Dynamic
## Model Overview
- **Model Architecture:** gemma-3-27b-it
- **Input:** Vision-Text
- **Output:** Text
- **Model Optimizations:**
- **Weight quantization:** FP8
- **Activation quantization:** FP8
- **Release Date:** 2/24/2025
- **Version:** 1.0
- **Model Developers:** Neural Magic
... | null | [
"apache-2.0",
"https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md"
] | null | [
"en"
] | 27,436,247,664 | null | null | [
"AutoModelForImageTextToText",
"Gemma3ForConditionalGeneration",
"gemma3"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
680f8dbc517048583de82f94 | Qwen/Qwen3-30B-A3B-FP8 | Qwen | {
"models": [
{
"_id": "680da7c9aa6c98cb395660ac",
"id": "Qwen/Qwen3-30B-A3B"
}
],
"relation": "quantized"
} | 65,010 | 1,317,184 | False | 2025-04-28T14:16:28Z | 2025-07-26T03:46:17Z | transformers | 83 | 1 | null | text-generation | null | [
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"model-00006-of-0... | d206ba732169f29bb77fbf80fc2c4b81d4d30782 | [
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"base_model:quantized:Qwen/Qwen3-30B-A3B",
"license:apache-2.0",
"endpoints_compatible",
"fp8",
"region:us"
] | null | {"architectures": ["Qwen3MoeForCausalLM"], "model_type": "qwen3_moe", "quantization_config": {"quant_method": "fp8"}, "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["Qwen/Qwen3-30B-A3B"], "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen3-30B-A3B-FP8/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-ge... | null | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen3-30B-A3B-FP8/blob/main/LICENSE"
] | null | null | null | null | null | [
"qwen3_moe",
"AutoModelForCausalLM",
"Qwen3MoeForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
680f9de987f2627834576d11 | ibm-granite/granite-speech-3.3-2b | ibm-granite | {
"models": [
{
"_id": "67f65cc77168f9524be92e01",
"id": "ibm-granite/granite-3.3-2b-instruct"
}
],
"relation": "finetune"
} | 204,171 | 902,073 | False | 2025-04-28T15:25:29Z | 2025-08-19T14:14:22Z | transformers | 50 | 1 | null | automatic-speech-recognition | {"parameters": {"BF16": 3009285376}, "total": 3009285376} | [
".gitattributes",
"10226_10111_000000.wav",
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"generation_config.json",
"merges.txt",
"model-00001-of-00003.safetensors",
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"model-00002... | 7c638eb1951f8afe3b30766e96ef07fa71f18b20 | [
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"safetensors",
"granite_speech",
"automatic-speech-recognition",
"multilingual",
"en",
"fr",
"de",
"es",
"pt",
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"base_model:ibm-granite/granite-3.3-2b-instruct",
"base_model:finetune:ibm-granite/granite-3.3-2b-instruct",
"license:apache-2.0",
"endpoints... | null | {"architectures": ["GraniteSpeechForConditionalGeneration"], "model_type": "granite_speech", "tokenizer_config": {"bos_token": "<|end_of_text|>", "eos_token": "<|end_of_text|>", "pad_token": "<|end_of_text|>", "unk_token": "<|end_of_text|>"}, "chat_template_jinja": "{# Alias tools -> available_tools #}\n{%- if tools an... | {
"auto_model": "AutoModelForSpeechSeq2Seq",
"custom_class": null,
"pipeline_tag": "automatic-speech-recognition",
"processor": "AutoProcessor"
} | {"base_model": ["ibm-granite/granite-3.3-2b-instruct"], "datasets": null, "eval_results": null, "language": ["multilingual", "en", "fr", "de", "es", "pt"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tag... | # Granite-speech-3.3-2b (revision 3.3.2)
**Model Summary:**
Granite-speech-3.3-2b is a compact and efficient speech-language model, specifically designed for automatic speech recognition (ASR) and automatic speech translation (AST). Granite-speech-3.3-2b uses a two-pass design, unlike integrated models that combine sp... | null | [
"apache-2.0"
] | null | [
"multilingual",
"en",
"fr",
"de",
"es",
"pt"
] | 3,009,285,376 | null | null | [
"GraniteSpeechForConditionalGeneration",
"AutoModelForSpeechSeq2Seq",
"granite_speech"
] | [
"automatic-speech-recognition"
] | [
"multimodal"
] | [
"audio"
] | [
"text"
] |
6810bc6c0ddc98aaf630e8a3 | Cylingo/Xinyuan-LLM-14B-0428 | Cylingo | {
"models": [
{
"_id": "680f0cffb790c8c34a30bdf2",
"id": "Qwen/Qwen3-14B-Base"
}
],
"relation": "finetune"
} | 7 | 11,359 | False | 2025-04-29T11:47:56Z | 2025-05-01T11:54:57Z | transformers | 16 | 1 | null | text-generation | {"parameters": {"BF16": 14768307200}, "total": 14768307200} | [
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"README.md",
"Xinyuan-LLM-14B-0428.jpeg",
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"model-00002-of-00006.safetensors",
"model-00003-of-00006.safetensors",
"model-00004-of-00006.safetensors",
"model-00005-o... | 7c64485d6b5e875c1b1a838eb7cc8e84f8181661 | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"llm",
"conversational",
"en",
"zh",
"base_model:Qwen/Qwen3-14B-Base",
"base_model:finetune:Qwen/Qwen3-14B-Base",
"license:apache-2.0",
"text-generation-inference",
"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 {%- else %}\n {{- 'You are a helpful assistant.' ... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["Qwen/Qwen3-14B-Base"], "datasets": null, "eval_results": null, "language": ["en", "zh"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["llm", "qwen3"]} | # Xinyuan-LLM-14B-0428
<div align=center><img src ="https://huggingface.co/Cylingo/XinYuan-LLM-14B-0428/resolve/main/Xinyuan-LLM-14B-0428.jpeg"/></div>
<p align="center">
🤗 <a href="https://huggingface.co/Cylingo/Xinyuan-LLM-14B-0428">Hugging Face</a>   |   🤖 <a href="https://www.modelscope.... | null | [
"apache-2.0"
] | null | [
"en",
"zh"
] | 14,768,307,200 | null | null | [
"AutoModelForCausalLM",
"Qwen3ForCausalLM",
"qwen3"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
681125494e21a400f6bbedd2 | Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1 | Goekdeniz-Guelmez | {
"models": [
{
"_id": "680da79d48c19d19cf82ab5e",
"id": "Qwen/Qwen3-8B"
}
],
"relation": "finetune"
} | 1,706 | 26,875 | False | 2025-04-29T19:15:21Z | 2025-08-11T15:17:47Z | transformers | 206 | 1 | null | text-generation | {"parameters": {"BF16": 8190735360}, "total": 8190735360} | [
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"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.... | 2d21f18902f23a729934a9631373297e22e1ff25 | [
"transformers",
"safetensors",
"qwen3",
"text-generation",
"chat",
"conversational",
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"base_model:finetune:Qwen/Qwen3-8B",
"text-generation-inference",
"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/Qwen3-8B", "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": "text-generation", "tags": ["chat"]} | # JOSIEFIED Model Family
The **JOSIEFIED** model family represents a series of highly advanced language models built upon renowned architectures such as Alibaba’s Qwen2/2.5/3, Google’s Gemma3, and Meta’s LLaMA3/4. Covering sizes from 0.5B to 32B parameters, these models have been significa... | null | null | null | null | 8,190,735,360 | null | null | [
"AutoModelForCausalLM",
"Qwen3ForCausalLM",
"qwen3"
] | [
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] | [
"text"
] | [
"text"
] | [
"text"
] |
6811256b174c79b9d5176ed4 | microsoft/Phi-4-mini-reasoning | microsoft | null | 19,684 | 208,146 | False | 2025-04-29T19:15:55Z | 2025-12-10T20:24:22Z | transformers | 220 | 1 | null | text-generation | null | [
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"config.json",
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"arxiv:2504.21233",
"license:mit",
"text-generation-inference",
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] | null | {"architectures": ["Phi3ForCausalLM"], "model_type": "phi3", "tokenizer_config": {"bos_token": "<|endoftext|>", "chat_template": "{{ '<|system|>Your name is Phi, an AI math expert developed by Microsoft.' }}{% for message in messages %}{% if message['role'] == 'system' %} {{ message['content'] }}{% if 'tools' in messag... | {
"auto_model": "AutoModelForCausalLM",
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} | {"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-mini-instruct-reasoning/resolve/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-gener... | null | null | [
"mit",
"https://huggingface.co/microsoft/Phi-4-mini-instruct-reasoning/resolve/main/LICENSE"
] | null | [
"en"
] | null | null | null | [
"AutoModelForCausalLM",
"phi3",
"Phi3ForCausalLM"
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681158d22c338e2de86f9304 | SWE-bench/SWE-agent-LM-32B | SWE-bench | {
"models": [
{
"_id": "672b1f9e956e6880fdb8c1e5",
"id": "Qwen/Qwen2.5-Coder-32B-Instruct"
}
],
"relation": "finetune"
} | 246 | 17,914 | False | 2025-04-29T22:55:14Z | 2025-05-12T16:42:25Z | transformers | 78 | 1 | null | text-generation | {"parameters": {"BF16": 32763876352}, "total": 32763876352} | [
".gitattributes",
"LICENSE",
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"model-00004-of-00014.safetensors",
"model-00005-of-00014.safetensors",
"model-00006-of-0... | 6b6b924ea6f17aeff85e5228772df8fff3aab62d | [
"transformers",
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"text-generation",
"agent",
"software engineering",
"conversational",
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"dataset:SWE-bench/SWE-smith",
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"base_model:finetune:Qwen/Qwen2.5-Coder-32B-Instruct",
"license:apache-2.0",
... | 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-Instruct"], "datasets": ["SWE-bench/SWE-smith"], "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": ["agent"... | <div align="center">
<img src="https://swe-agent.com/latest/assets/swe-agent.svg" alt="Logo" width="200">
<h1 align="center">SWE-agent LM</h1>
</div>
<p align="center">
<a href="https://github.com/SWE-bench/SWE-smith">Code</a>
•
<a href="https://arxiv.org/abs/2504.21798">Paper</a>
•
<a href="https://swesmith.com/"... | null | [
"apache-2.0"
] | [
"SWE-bench/SWE-smith"
] | [
"en"
] | 32,763,876,352 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
68116127c9b17d10fd6a9012 | XiaomiMiMo/MiMo-7B-SFT | XiaomiMiMo | null | 746 | 7,466 | False | 2025-04-29T23:30:47Z | 2025-06-05T16:00:02Z | transformers | 27 | 1 | null | text-generation | {"parameters": {"BF16": 7833409536}, "total": 7833409536} | [
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"modeli... | 2c8c99d54d85f77dd003a1a473ceff1a101d30ec | [
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"custom_code",
"arxiv:2505.07608",
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] | null | {"architectures": ["MiMoForCausalLM"], "auto_map": {"AutoConfig": "configuration_mimo.MiMoConfig", "AutoModel": "modeling_mimo.MiMoModel", "AutoModelForCausalLM": "modeling_mimo.MiMoForCausalLM"}, "model_type": "mimo", "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>syste... | {
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<picture>
<source srcset="https://github.com/XiaomiMiMo/MiMo/raw/main/figures/Xiaomi_MiMo_darkmode.png?raw=true" media="(prefers-color-scheme: dark)">
<img src="https://github.com/XiaomiMiMo/MiMo/raw/main/figures/Xiaomi_MiMo.png?raw=true" width="60%" alt="Xiaomi-MiMo" />
</picture>
</di... | null | [
"mit"
] | null | null | 7,833,409,536 | null | null | [
"AutoModelForCausalLM",
"modeling_mimo.MiMoForCausalLM",
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] | [
"text"
] | [
"text"
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6811672355dd63d4d4ebbc7c | XiaomiMiMo/MiMo-7B-RL-Zero | XiaomiMiMo | null | 151 | 2,350 | False | 2025-04-29T23:56:19Z | 2025-05-13T04:26:02Z | transformers | 17 | 1 | null | text-generation | {"parameters": {"BF16": 7833409536}, "total": 7833409536} | [
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] | null | {"architectures": ["MiMoForCausalLM"], "auto_map": {"AutoConfig": "configuration_mimo.MiMoConfig", "AutoModel": "modeling_mimo.MiMoModel", "AutoModelForCausalLM": "modeling_mimo.MiMoForCausalLM"}, "model_type": "mimo", "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>syste... | {
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<picture>
<source srcset="https://github.com/XiaomiMiMo/MiMo/raw/main/figures/Xiaomi_MiMo_darkmode.png?raw=true" media="(prefers-color-scheme: dark)">
<img src="https://github.com/XiaomiMiMo/MiMo/raw/main/figures/Xiaomi_MiMo.png?raw=true" width="60%" alt="Xiaomi-MiMo" />
</picture>
</di... | null | [
"mit"
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] | [
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68119787183c408107a5aeef | Qwen/Qwen2.5-Omni-3B | Qwen | null | 433,972 | 2,841,837 | False | 2025-04-30T03:22:47Z | 2025-04-30T04:01:19Z | transformers | 330 | 1 | null | any-to-any | null | [
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"model-00003-of-00003.safetensors",
"model.safetensors.index.json",
"preprocesso... | f75b40e3da2003cdd6e1829b1f420ca70797c34e | [
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"any-to-any",
"en",
"arxiv:2503.20215",
"license:other",
"endpoints_compatible",
"region:us"
] | 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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} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "other", "license_name": "qwen-research", "license_link": "LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "any-to-any", "tags": ["multimodal"]} | null | null | [
"other",
"qwen-research",
"LICENSE"
] | null | [
"en"
] | null | null | null | [
"Qwen2_5OmniModel",
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null,
"any-to-any"
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] | [
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6811bfcb37b4b775d7d4232e | deepseek-ai/DeepSeek-Prover-V2-671B | deepseek-ai | null | 827 | 24,056 | False | 2025-04-30T06:14:35Z | 2025-04-30T15:57:41Z | transformers | 822 | 1 | null | text-generation | null | [
".gitattributes",
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"model-00004-of-000163.safetensors",
"model-00005-of-000163.safetensors",
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"deepseek_v3",
"text-generation",
"conversational",
"custom_code",
"text-generation-inference",
"endpoints_compatible",
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] | 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",
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"pipeline_tag": "text-generation",
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": 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-V3" />
</div>
<hr>
<div align="center" style="line-... | null | null | null | null | null | null | null | [
"AutoModelForCausalLM",
"deepseek_v3",
"DeepseekV3ForCausalLM"
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"text"
] | [
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] | [
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68123f8beccc437f14d0da66 | elyza/ELYZA-Shortcut-1.0-Qwen-7B | elyza | {
"models": [
{
"_id": "66e81cbcd683a3f4e5291bbf",
"id": "Qwen/Qwen2.5-7B-Instruct"
}
],
"relation": "finetune"
} | 1,060 | 12,086 | False | 2025-04-30T15:19:39Z | 2025-04-30T15:22:09Z | transformers | 2 | 1 | null | text-generation | {"parameters": {"BF16": 7615616512}, "total": 7615616512} | [
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"model-00003-of-00004.safetensors",
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"model.safetensors.index.json",
"spec... | d33448648d9b1b7d69cbadb3f1a8d6fb4c8a01ee | [
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"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"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",
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"pipeline_tag": "text-generation",
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} | {"base_model": ["Qwen/Qwen2.5-7B-Instruct"], "datasets": null, "eval_results": null, "language": ["ja", "en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | null | null | [
"apache-2.0"
] | null | [
"ja",
"en"
] | 7,615,616,512 | null | null | [
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68126434d1e7a7c9dbe03350 | nvidia/Llama-3_1-Nemotron-Ultra-253B-v1-FP8 | nvidia | null | 2,053 | 12,927 | False | 2025-04-30T17:56:04Z | 2025-10-15T16:21:06Z | transformers | 11 | 1 | null | text-generation | {"parameters": {"BF16": 4205084672, "F8_E4M3": 249196183552}, "total": 253401268224} | [
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## Model Overview
Llama-3.1-Nemotron-Ultra-253B-v1-FP8 is a large language model (LLM) which is a derivative of [Meta Llama-3.1-405B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-405B-Instruct) (AKA the *reference model*). It is a ... | null | [
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681301f7dacd0c84e10703ed | tiiuae/Falcon-H1-1.5B-Deep-Base | tiiuae | null | 3,019 | 18,182 | False | 2025-05-01T05:09:11Z | 2025-07-31T03:56:56Z | transformers | 6 | 1 | null | text-generation | {"parameters": {"BF16": 1554872208}, "total": 1554872208} | [
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681302294f6ba748162ca1e4 | tiiuae/Falcon-H1-7B-Base | tiiuae | null | 3,471 | 22,538 | False | 2025-05-01T05:10:01Z | 2025-07-31T04:02:29Z | transformers | 9 | 1 | null | text-generation | {"parameters": {"BF16": 7585648736}, "total": 7585648736} | [
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68139687b17ff64cadf84787 | tiiuae/Falcon-H1-0.5B-Instruct | tiiuae | {
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681396bddacd0c84e12efc6a | tiiuae/Falcon-H1-1.5B-Deep-Instruct | tiiuae | {
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} | 1,550 | 14,960 | False | 2025-05-01T15:43:57Z | 2025-07-31T03:57:31Z | transformers | 36 | 1 | null | text-generation | {"parameters": {"BF16": 1554874768}, "total": 1554874768} | [
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681396dec73f6623c9ba03b0 | tiiuae/Falcon-H1-7B-Instruct | tiiuae | {
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} | 1,614 | 40,648 | False | 2025-05-01T15:44:30Z | 2025-07-31T04:02:32Z | transformers | 33 | 1 | null | text-generation | {"parameters": {"BF16": 7585654880}, "total": 7585654880} | [
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681396ed5a456cf3a436f8e4 | tiiuae/Falcon-H1-34B-Instruct | tiiuae | {
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} | 914 | 39,853 | False | 2025-05-01T15:44:45Z | 2025-07-31T04:04:08Z | transformers | 52 | 1 | null | text-generation | {"parameters": {"BF16": 33642516224}, "total": 33642516224} | [
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6818ce37fdbf32f1082b94ec | Qwen/Qwen3-4B-AWQ | Qwen | {
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{
"_id": "680da769038897aa905586a7",
"id": "Qwen/Qwen3-4B"
}
],
"relation": "quantized"
} | 414,692 | 1,445,072 | False | 2025-05-05T14:41:59Z | 2025-05-21T06:13:28Z | transformers | 26 | 1 | null | text-generation | {"parameters": {"I32": 3633315840, "BF16": 389152256}, "total": 4022468096} | [
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] | null | {"architectures": ["Qwen3ForCausalLM"], "model_type": "qwen3", "quantization_config": {"bits": 4, "quant_method": "awq"}, "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' ... | {
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} | {"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", "tags... | # Qwen3-4B-AWQ
<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>
## Qwen3 Highlights
Qwen3 is the latest generation of large language m... | null | [
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681973c26d73cfa9573dd32a | numind/NuExtract-2.0-8B | numind | null | 66,885 | 125,941 | False | 2025-05-06T02:28:18Z | 2025-11-13T13:53:16Z | transformers | 55 | 1 | null | image-text-to-text | {"parameters": {"BF16": 8292166656}, "total": 8292166656} | [
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"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",... | 99a17841852caed05f123f9114408aa60a042035 | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"conversational",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["Qwen2_5_VLForConditionalGeneration"], "model_type": "qwen2_5_vl", "processor_config": {"chat_template": "{%- set image_placeholder = '<|vision_start|><|image_pad|><|vision_end|>' -%}\n{%- for message in messages -%}\n {%- if message['role'] == 'system' -%}\n {{- '<|im_start|>system\n' -}}\... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
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} | {"base_model": ["Qwen/Qwen2.5-VL-8B-Instruct"], "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": "image-text-to-text", "tags": null} | <p align="center">
<a href="https://nuextract.ai/">
<img src="logo_nuextract.svg" width="200"/>
</a>
</p>
<p align="center">
🖥️ <a href="https://nuextract.ai/">API / Platform</a>   |   📑 <a href="https://numind.ai/blog">Blog</a>   |   🗣️ <a href="https://discor... | null | [
"mit"
] | null | null | 8,292,166,656 | null | null | [
"qwen2_5_vl",
"AutoModelForImageTextToText",
"Qwen2_5_VLForConditionalGeneration"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
68198e09612ca40b67abb4d7 | Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2 | Pinkstack | {
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{
"_id": "66eaedefece5ee215637cc82",
"id": "meta-llama/Llama-3.2-1B-Instruct"
}
],
"relation": "finetune"
} | 7 | 95 | False | 2025-05-06T04:20:25Z | 2025-05-06T19:35:08Z | transformers | 3 | 1 | null | text-generation | {"parameters": {"F32": 3914532864}, "total": 3914532864} | [
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"README.md",
"config.json",
"mergekit_moe_config.yml",
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"model-00005-of-00017.safetensors",
"model-00006-of-00017.safetensors",
"model-... | 1fa9836c46bee62ab1bbf3745ee3658b6b98f558 | [
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"mixtral",
"text-generation",
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"code",
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"grpo",
"conversational",
"moe",
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"base_model:finetune:meta-llama/Llama-3.2-1B-Instruct",
"license:llama3.2",
"text-generation-inference",
"endp... | null | {"architectures": ["MixtralForCausalLM"], "model_type": "mixtral", "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_me... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["meta-llama/Llama-3.2-1B-Instruct"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "llama3.2", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["chemistry", "code", "math"... | Full precision version of Superthoughts lite v2 MoE. 3.91B parameters, 2 experts active, 4 in total.
[[GGUF](https://huggingface.co/Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-GGUF) !! [Full precision](https://huggingface.co/Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2) !! [BF16](https://huggingface.co/Pinkstack/Supe... | null | [
"llama3.2"
] | null | [
"en"
] | 3,914,532,864 | null | null | [
"mixtral",
"MixtralForCausalLM",
"AutoModelForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6819906a17c253b3f87e541d | Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-bf16 | Pinkstack | {
"models": [
{
"_id": "66eaedefece5ee215637cc82",
"id": "meta-llama/Llama-3.2-1B-Instruct"
}
],
"relation": "finetune"
} | 5 | 21 | False | 2025-05-06T04:30:34Z | 2025-05-06T19:35:45Z | transformers | 1 | 1 | null | text-generation | {"parameters": {"BF16": 3914532864}, "total": 3914532864} | [
".gitattributes",
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"model-... | 4d2bc55ba46507633ad312df99c2306011f342e8 | [
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"base_model:finetune:meta-llama/Llama-3.2-1B-Instruct",
"license:llama3.2",
"text-generation-inference",
"endp... | null | {"architectures": ["MixtralForCausalLM"], "model_type": "mixtral", "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_me... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["meta-llama/Llama-3.2-1B-Instruct"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "llama3.2", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["chemistry", "code", "math"... | BFloat16 version of Superthoughts lite v2 MoE. 3.91B parameters, 2 experts active, 4 in total. (recommended, float32 is heavy.)
[[GGUF](https://huggingface.co/Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-GGUF) !! [Full precision](https://huggingface.co/Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2) !! [BF16](https://hu... | null | [
"llama3.2"
] | null | [
"en"
] | 3,914,532,864 | null | null | [
"mixtral",
"MixtralForCausalLM",
"AutoModelForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
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6819b77de7ef70605a8fa128 | ServiceNow-AI/Apriel-Nemotron-15b-Thinker | ServiceNow-AI | null | 119 | 20,341 | False | 2025-05-06T07:17:17Z | 2025-11-10T05:17:29Z | transformers | 126 | 1 | null | text-generation | null | [
".gitattributes",
"LICENSE.md",
"README.md",
"config.json",
"model-00001-of-00007.safetensors",
"model-00002-of-00007.safetensors",
"model-00003-of-00007.safetensors",
"model-00004-of-00007.safetensors",
"model-00005-of-00007.safetensors",
"model-00006-of-00007.safetensors",
"model-00007-of-0000... | 6f1072214e699c66d84b925012917736c91ec43e | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:2508.10948",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "chat_template": "{%- set available_tool_string, add_tool_id = '', true -%}{%- set reasoning_prompt='You are a thoughtful and systematic AI assistant built by ServiceNow Language Models (SLAM... | {
"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": "text-generation", "tags": null} | # Apriel-Nemotron-15b-Thinker
<img src="https://cdn-uploads.huggingface.co/production/uploads/63d3095c2727d7888cbb54e2/Lt1t0tOO5emz1X23Azg-E.png" width="120" alt="thumbnail"/> `/ˈɑː.pri.əl/`
---
## Table of Contents
1. [Summary](#summary)
2. [Evaluation](#evaluation)
3. [Training Details](#training-details... | null | [
"mit"
] | null | null | null | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
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