_id stringlengths 24 24 | id stringlengths 7 122 | author stringlengths 2 41 | base_models dict | downloads int64 0 206M | downloads_all_time int64 0 2.81B | gated stringclasses 3
values | created_at timestamp[us, tz=UTC]date 2022-03-02 23:29:04 2025-11-03 14:41:54 | last_modified timestamp[us, tz=UTC]date 2020-12-11 21:34:15 2026-03-29 10:14:05 | library_name stringclasses 36
values | likes int64 0 13.1k | trending_score float64 0 47 | model_index stringlengths 30 911k ⌀ | pipeline_tag stringclasses 46
values | safetensors stringlengths 30 122 ⌀ | siblings listlengths 0 10k | sha stringlengths 40 40 | tags listlengths 2 1.82k | gguf stringclasses 789
values | config stringlengths 2 53.7k ⌀ | transformers_info dict | card_data stringlengths 234 905k ⌀ | card stringlengths 0 638k ⌀ | spaces null | licenses listlengths 1 3 ⌀ | datasets listlengths 1 289 ⌀ | languages listlengths 1 1.81k ⌀ | safetensors_params float64 0 1,019B ⌀ | gguf_params float64 0 122B ⌀ | metrics listlengths 1 15 ⌀ | architectures listlengths 1 6 ⌀ | tasks listlengths 1 6 ⌀ | modalities listlengths 1 4 ⌀ | input_modalities listlengths 1 3 ⌀ | output_modalities listlengths 1 4 ⌀ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
668380e99e8f3018844f9382 | fishaudio/fish-speech-1.2 | fishaudio | null | 132 | 6,278 | False | 2024-07-02T04:24:09Z | 2024-07-02T04:31:26Z | transformers | 208 | 1 | null | text-to-speech | null | [
".gitattributes",
"README.md",
"config.json",
"firefly-gan-vq-fsq-4x1024-42hz-generator.pth",
"model.pth",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | ef257fd7165af434a0e4dcd483c7c78cce72576f | [
"transformers",
"dual_ar",
"text-to-speech",
"en",
"zh",
"ja",
"license:cc-by-nc-sa-4.0",
"region:us"
] | null | {"model_type": "dual_ar", "tokenizer_config": {"bos_token": "<|begin_of_sequence|>", "eos_token": "<|end_of_sequence|>", "pad_token": "<|pad|>"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": null,
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en", "zh", "ja"], "library_name": null, "license": "cc-by-nc-sa-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-to-speech", "tags": ["text-to-speech"], "inference": false, "extra_gated... | # Fish Speech V1.2
**Fish Speech V1.2** is a leading text-to-speech (TTS) model trained on 300k hours of English, Chinese, and Japanese audio data.
Please refer to [Fish Speech Github](https://github.com/fishaudio/fish-speech) for more info.
Demo available at [Fish Audio](https://fish.audio/).
## Citation
If you... | null | [
"cc-by-nc-sa-4.0"
] | null | [
"en",
"zh",
"ja"
] | null | null | null | [
"dual_ar",
"AutoModel"
] | [
"text-to-speech",
null
] | [
"audio"
] | [
"text"
] | [
"audio"
] |
668f03fa5efe9be005dc9fa1 | SciPhi/Triplex | SciPhi | null | 1,578 | 63,044 | False | 2024-07-10T21:58:18Z | 2024-08-09T00:08:10Z | transformers | 311 | 1 | null | text-generation | {"parameters": {"BF16": 3821079552}, "total": 3821079552} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"quantized_model-Q4_K_M.gguf",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
... | 92fdd35485adde3a7321d95bb1a24337dd0e4e0f | [
"transformers",
"safetensors",
"gguf",
"phi3",
"text-generation",
"conversational",
"custom_code",
"license:cc-by-nc-sa-4.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | {"total": 3821079648, "architecture": "phi3", "context_length": 131072, "chat_template": "{{ '<s>' }}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|system|>\n' + system_message + '<|end|>\n' }}{% endif %}{% for message in messa... | {"architectures": ["Phi3ForCausalLM"], "auto_map": {"AutoConfig": "microsoft/Phi-3-mini-128k-instruct--configuration_phi3.Phi3Config", "AutoModel": "microsoft/Phi-3-mini-128k-instruct--modeling_phi3.Phi3ForCausalLM", "AutoModelForCausalLM": "microsoft/Phi-3-mini-128k-instruct--modeling_phi3.Phi3ForCausalLM"}, "model_ty... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "cc-by-nc-sa-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # Triplex: a SOTA LLM for knowledge graph construction.
Knowledge graphs, like Microsoft's Graph RAG, enhance RAG methods but are expensive to build. Triplex offers a 98% cost reduction for knowledge graph creation, outperforming GPT-4 at 1/60th the cost and enabling local graph building with SciPhi's R2R.
Triplex is... | null | [
"cc-by-nc-sa-4.0"
] | null | null | 3,821,079,552 | 3,821,079,648 | null | [
"AutoModelForCausalLM",
"phi3",
"Phi3ForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66915141ca72ba0db50d5532 | NovaSearch/stella_en_400M_v5 | NovaSearch | null | 1,280,710 | 16,960,616 | False | 2024-07-12T15:52:33Z | 2025-07-28T11:42:23Z | sentence-transformers | 233 | 1 | [{"name": "stella_en_400M_v5", "results": [{"dataset": {"config": "en", "name": "MTEB AmazonCounterfactualClassification (en)", "revision": "e8379541af4e31359cca9fbcf4b00f2671dba205", "split": "test", "type": "mteb/amazon_counterfactual"}, "metrics": [{"type": "accuracy", "value": 92.35820895522387, "verified": false},... | sentence-similarity | {"parameters": {"F32": 435188736}, "total": 435188736} | [
".gitattributes",
"1_Pooling/config.json",
"2_Dense/config.json",
"2_Dense/model.safetensors",
"2_Dense/pytorch_model.bin",
"2_Dense_1024/config.json",
"2_Dense_1024/model.safetensors",
"2_Dense_1024/pytorch_model.bin",
"2_Dense_2048/config.json",
"2_Dense_2048/model.safetensors",
"2_Dense_2048/... | ffeb2b7ee715c226d4ffe5e4619f7dbb48624c20 | [
"sentence-transformers",
"pytorch",
"safetensors",
"new",
"feature-extraction",
"mteb",
"transformers",
"sentence-similarity",
"custom_code",
"arxiv:2412.19048",
"arxiv:2205.13147",
"license:mit",
"model-index",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["NewModel"], "auto_map": {"AutoConfig": "configuration.NewConfig", "AutoModel": "modeling.NewModel"}, "model_type": "new", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModel",
"custom_class": "modeling.NewModel",
"pipeline_tag": "feature-extraction",
"processor": null
} | {"license": "mit", "tags": ["mteb", "sentence-transformers", "transformers", "sentence-similarity"], "model-index": [{"name": "stella_en_400M_v5", "results": [{"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonCounterfactualClassification (en)", "type": "mteb/amazon_counterfactual", "config": "en", "s... | null | null | [
"mit"
] | null | null | 435,188,736 | null | null | [
"new",
"NewModel",
"AutoModel",
"modeling.NewModel"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
6691f92fa1a075f931ebaedc | Value4AI/ValueLlama-3-8B | Value4AI | null | 49 | 5,174 | False | 2024-07-13T03:49:03Z | 2024-09-19T03:45:47Z | transformers | 5 | 1 | null | text-generation | {"parameters": {"BF16": 8030261248}, "total": 8030261248} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00009.safetensors",
"model-00002-of-00009.safetensors",
"model-00003-of-00009.safetensors",
"model-00004-of-00009.safetensors",
"model-00005-of-00009.safetensors",
"model-00006-of-00009.safetensors",
"model-0... | d35dcd6a5c6ed20fffdb951443c79a1b9296c41a | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-factory",
"conversational",
"en",
"dataset:allenai/ValuePrism",
"dataset:Value4AI/ValueBench",
"arxiv:2409.12106",
"license:llama3",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{ '<|begin_of_text|>' }}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|start_header_id|>sy... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["allenai/ValuePrism", "Value4AI/ValueBench"], "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "llama3", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["llama-factory"]} | # Model Card for ValueLlama
## Model Description
ValueLlama is designed for perception-level value measurement in an open-ended value space, which includes two tasks: (1) Relevance classification determines whether a perception is relevant to a value; and (2) Valence classification determines whether a perception s... | null | [
"llama3"
] | [
"allenai/ValuePrism",
"Value4AI/ValueBench"
] | [
"en"
] | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
669591e0b91490da023358aa | apple/DCLM-7B-8k | apple | null | 7 | 2,067 | False | 2024-07-15T21:17:20Z | 2024-08-06T02:31:25Z | transformers | 45 | 1 | null | null | {"parameters": {"F32": 6889674752}, "total": 6889674752} | [
".gitattributes",
"README.md",
"config.json",
"model-00001-of-00006.safetensors",
"model-00002-of-00006.safetensors",
"model-00003-of-00006.safetensors",
"model-00004-of-00006.safetensors",
"model-00005-of-00006.safetensors",
"model-00006-of-00006.safetensors",
"model.safetensors.index.json",
"s... | 4ca6b8d82b2e46fa92354850553d1fce06fe3ff7 | [
"transformers",
"safetensors",
"openlm",
"arxiv:2406.11794",
"arxiv:2405.13226",
"license:apple-ascl",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["OpenLMModel"], "model_type": "openlm", "tokenizer_config": {"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": null,
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "apple-ascl", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | <img src="https://cdn-uploads.huggingface.co/production/uploads/63118add64939fabc0108b28/BB42g4V8HTxb5dR4tcy8A.png" alt="DCLM Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for DCLM-Baseline-7B
DCLM-Baseline-7B is a 7 billion parameter language model trained on the DC... | null | [
"apple-ascl"
] | null | null | 6,889,674,752 | null | null | [
"openlm",
"AutoModel",
"OpenLMModel"
] | [
null
] | null | null | null |
6695cd12321386ed51d7bc22 | meta-llama/Llama-3.1-405B | meta-llama | null | 386,304 | 20,313,172 | manual | 2024-07-16T01:29:54Z | 2024-09-25T17:01:49Z | transformers | 965 | 1 | null | text-generation | {"parameters": {"BF16": 405853388800}, "total": 405853388800} | [
".gitattributes",
"LICENSE",
"README.md",
"USE_POLICY.md",
"config.json",
"generation_config.json",
"model-00001-of-00191.safetensors",
"model-00002-of-00191.safetensors",
"model-00003-of-00191.safetensors",
"model-00004-of-00191.safetensors",
"model-00005-of-00191.safetensors",
"model-00006-o... | b906e4dc842aa489c962f9db26554dcfdde901fe | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-3",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"arxiv:2204.05149",
"license:llama3.1",
"eval-results",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "eos_token": "<|end_of_text|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en", "de", "fr", "it", "pt", "hi", "es", "th"], "library_name": "transformers", "license": "llama3.1", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["facebook", "meta... | null | null | [
"llama3.1"
] | null | [
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th"
] | 405,853,388,800 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66964cc4fdd2b31d4204302a | ihalage/llama3-sinhala | ihalage | null | 488 | 2,201 | False | 2024-07-16T10:34:44Z | 2024-07-16T11:47:07Z | transformers | 3 | 1 | null | text-generation | {"parameters": {"BF16": 8030261248}, "total": 8030261248} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"... | 7560536d67a3318271c5e5773be12a4513c4b98d | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"si",
"en",
"dataset:ihalage/sinhala-instruction-finetune-large",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|e... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["ihalage/sinhala-instruction-finetune-large"], "eval_results": null, "language": ["si", "en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | [](https://github.com/ihalage/llama3-sinhala)
LLaMA3 (8B) model instruction finetuned to understand and respond in Sinhala language. `meta-llama/Meta-Llama-3-8B-Instruct` is finetuned on a reletively large dataset in
Sinhala compiled by transla... | null | [
"apache-2.0"
] | [
"ihalage/sinhala-instruction-finetune-large"
] | [
"si",
"en"
] | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6696d9e4d1bd59e81dbbc41a | google/shieldgemma-2b | google | null | 8,970 | 89,731 | manual | 2024-07-16T20:36:52Z | 2024-08-28T17:32:37Z | transformers | 111 | 1 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | d1dffc9c8c9237a90aab09c61383791e718ef9e8 | [
"transformers",
"safetensors",
"gemma2",
"text-generation",
"conversational",
"arxiv:2407.21772",
"arxiv:2310.17389",
"arxiv:2306.05685",
"license:gemma",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["Gemma2ForCausalLM"], "model_type": "gemma2", "tokenizer_config": {"bos_token": "<bos>", "chat_template": "{%- if not guideline and messages[0].role == \"system\" %}\n {%- set guideline = messages[0].content %}\n {%- set messages = messages[1:] %}\n{%- endif %}\n\n{{- bos_token }}\n{%- if messa... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "gemma", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": null, "extra_gated_heading": "Access Gemma on Hugging Face", "ext... | null | null | [
"gemma"
] | null | null | null | null | null | [
"AutoModelForCausalLM",
"gemma2",
"Gemma2ForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
669902cedae53e4e04999c5b | fishaudio/fish-speech-1.2-sft | fishaudio | null | 44 | 6,339 | False | 2024-07-18T11:55:58Z | 2024-08-02T08:13:06Z | transformers | 17 | 1 | null | text-to-speech | null | [
".gitattributes",
"README.md",
"config.json",
"firefly-gan-vq-fsq-4x1024-42hz-generator.pth",
"model.pth",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 180288e21ec5c50cfc564023a22f789e4b88a0e0 | [
"transformers",
"dual_ar",
"text-to-speech",
"en",
"zh",
"ja",
"license:cc-by-nc-sa-4.0",
"region:us"
] | null | {"model_type": "dual_ar", "tokenizer_config": {"bos_token": "<|begin_of_sequence|>", "eos_token": "<|end_of_sequence|>", "pad_token": "<|pad|>"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": null,
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en", "zh", "ja"], "library_name": null, "license": "cc-by-nc-sa-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-to-speech", "tags": ["text-to-speech"], "inference": false, "extra_gated... | # Fish Speech V1.2
**Fish Speech V1.2** is a leading text-to-speech (TTS) model trained on 300k hours of English, Chinese, and Japanese audio data.
Please refer to [Fish Speech Github](https://github.com/fishaudio/fish-speech) for more info.
Demo available at [Fish Audio](https://fish.audio/).
## Citation
If you... | null | [
"cc-by-nc-sa-4.0"
] | null | [
"en",
"zh",
"ja"
] | null | null | null | [
"dual_ar",
"AutoModel"
] | [
"text-to-speech",
null
] | [
"audio"
] | [
"text"
] | [
"audio"
] |
669b777af1356d2d96d410d3 | Alibaba-NLP/gte-multilingual-reranker-base | Alibaba-NLP | null | 265,947 | 3,224,377 | False | 2024-07-20T08:38:18Z | 2025-07-05T01:38:02Z | sentence-transformers | 175 | 1 | null | text-ranking | {"parameters": {"F16": 305959681}, "total": 305959681} | [
".gitattributes",
"README.md",
"config.json",
"images/mgte-reranker.png",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 8215cf04918ba6f7b6a62bb44238ce2953d8831c | [
"sentence-transformers",
"safetensors",
"new",
"text-classification",
"transformers",
"text-embeddings-inference",
"text-ranking",
"custom_code",
"af",
"ar",
"az",
"be",
"bg",
"bn",
"ca",
"ceb",
"cs",
"cy",
"da",
"de",
"el",
"en",
"es",
"et",
"eu",
"fa",
"fi",
"... | null | {"architectures": ["NewForSequenceClassification"], "auto_map": {"AutoConfig": "Alibaba-NLP/new-impl--configuration.NewConfig", "AutoModelForMaskedLM": "Alibaba-NLP/new-impl--modeling.NewForMaskedLM", "AutoModel": "Alibaba-NLP/new-impl--modeling.NewModel", "AutoModelForMultipleChoice": "Alibaba-NLP/new-impl--modeling.N... | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": "Alibaba-NLP/new-impl--modeling.NewForSequenceClassification",
"pipeline_tag": "text-classification",
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["af", "ar", "az", "be", "bg", "bn", "ca", "ceb", "cs", "cy", "da", "de", "el", "en", "es", "et", "eu", "fa", "fi", "fr", "gl", "gu", "he", "hi", "hr", "ht", "hu", "hy", "id", "is", "it", "ja", "jv", "ka", "kk", "km", "kn", "ko", "ky", "lo", "lt",... | null | null | [
"apache-2.0"
] | null | [
"af",
"ar",
"az",
"be",
"bg",
"bn",
"ca",
"ceb",
"cs",
"cy",
"da",
"de",
"el",
"en",
"es",
"et",
"eu",
"fa",
"fi",
"fr",
"gl",
"gu",
"he",
"hi",
"hr",
"ht",
"hu",
"hy",
"id",
"is",
"it",
"ja",
"jv",
"ka",
"kk",
"km",
"kn",
"ko",
"ky",
"lo... | 305,959,681 | null | null | [
"Alibaba-NLP/new-impl--modeling.NewForSequenceClassification",
"new",
"NewForSequenceClassification",
"AutoModelForSequenceClassification"
] | [
"text-ranking",
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
669c043b52cf1c619d8d8962 | allenai/OLMoE-1B-7B-0924 | allenai | null | 33,745 | 797,935 | False | 2024-07-20T18:38:51Z | 2024-10-19T04:24:22Z | transformers | 143 | 1 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00003.safetensors",
"model-00002-of-00003.safetensors",
"model-00003-of-00003.safetensors",
"model.safetensors.index.json",
"olmoe-logo.png",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.j... | 6d84c48581ece794365f2b8e9cfb043c68ade9c5 | [
"transformers",
"safetensors",
"olmoe",
"text-generation",
"moe",
"olmo",
"en",
"dataset:allenai/OLMoE-mix-0924",
"arxiv:2409.02060",
"license:apache-2.0",
"co2_eq_emissions",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["OlmoeForCausalLM"], "model_type": "olmoe", "tokenizer_config": {"bos_token": null, "eos_token": "<|endoftext|>", "pad_token": "<|padding|>", "unk_token": null}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["allenai/OLMoE-mix-0924"], "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["moe", "olmo", "olmoe"], "co2_eq_emissions": 1} | <img alt="OLMoE Logo." src="olmoe-logo.png" width="250px">
# Model Summary
> OLMoE-1B-7B is a Mixture-of-Experts LLM with 1B active and 7B total parameters released in September 2024 (0924). It yields state-of-the-art performance among models with a similar cost (1B) and is competitive with much larger models like L... | null | [
"apache-2.0"
] | [
"allenai/OLMoE-mix-0924"
] | [
"en"
] | null | null | null | [
"OlmoeForCausalLM",
"olmoe",
"AutoModelForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
669e2f0147606a4c9db29c75 | ricdomolm/lawma-8b | ricdomolm | null | 116 | 33,676 | False | 2024-07-22T10:05:53Z | 2025-02-25T15:57:06Z | transformers | 15 | 1 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"... | 3b088a47c72e6ce572c273ba923af14f7dfe40ef | [
"transformers",
"safetensors",
"llama",
"text-generation",
"legal",
"conversational",
"en",
"dataset:ricdomolm/lawma-all-tasks",
"arxiv:2407.16615",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{- bos_token }}\n{%- for message in messages %}\n {%- if message.role == 'assistant' %}\n {{- '\nAnswer: ' + message['content'] }}\n {%- else %}\n {{- message['con... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["ricdomolm/lawma-all-tasks"], "eval_results": null, "language": ["en"], "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["legal"]} | # Lawma 8B
Lawma 8B is a fine-tune of Llama 3 8B Instruct on 260 legal classification tasks derived from [Supreme Court](http://scdb.wustl.edu/data.php) and [Songer Court of Appeals](www.songerproject.org/us-courts-of-appeals-databases.html) databases. Lawma was fine-tuned on over 500k task examples, totalling 2B toke... | null | [
"mit"
] | [
"ricdomolm/lawma-all-tasks"
] | [
"en"
] | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
669fd5a5f053a7c6c1097221 | unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit | unsloth | {
"models": [
{
"_id": "6698d8a0653e4babe21e1e7d",
"id": "meta-llama/Llama-3.1-8B-Instruct"
}
],
"relation": "quantized"
} | 325,347 | 8,650,743 | False | 2024-07-23T16:09:09Z | 2025-02-15T10:31:16Z | transformers | 96 | 1 | null | text-generation | {"parameters": {"F32": 486912, "BF16": 1050939392, "U8": 7197503038}, "total": 8248929342} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | f15c379fb32bb402fa06a7ae9aecb1febf4b79ec | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-3",
"meta",
"facebook",
"unsloth",
"conversational",
"en",
"arxiv:2204.05149",
"base_model:meta-llama/Llama-3.1-8B-Instruct",
"base_model:quantized:meta-llama/Llama-3.1-8B-Instruct",
"license:llama3.1",
"text-generation-in... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"load_in_4bit": true, "load_in_8bit": false, "quant_method": "bitsandbytes"}, "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_to... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "meta-llama/Llama-3.1-8B-Instruct", "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "llama3.1", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["llama-3", "llama", "meta", "facebook", "u... | # Finetune Llama 3.2, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth!
We have a free Google Colab Tesla T4 notebook for Llama 3.1 (8B) here: https://colab.research.google.com/drive/1Ys44kVvmeZtnICzWz0xgpRnrIOjZAuxp?usp=sharing
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/D... | null | [
"llama3.1"
] | null | [
"en"
] | 8,248,929,342 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66a00ce34d95f13eb6fca248 | dphn/dolphin-2.9.3-mistral-nemo-12b | dphn | {
"models": [
{
"_id": "6698edefb217817b01892d68",
"id": "mistralai/Mistral-Nemo-Base-2407"
}
],
"relation": "finetune"
} | 3,189 | 94,569 | False | 2024-07-23T20:04:51Z | 2024-07-26T04:16:15Z | transformers | 114 | 1 | null | text-generation | {"parameters": {"BF16": 12247802880}, "total": 12247802880} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"model-00001-of-00005.safetensors",
"model-00002-of-00005.safetensors",
"model-00003-of-00005.safetensors",
"model-00004-of-00005.safetensors",
"model-00005-of-00005.safetensors",
"model.safetensors.inde... | 7b535c900688fc836fbeebaeb7133910b09bafda | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"generated_from_trainer",
"axolotl",
"conversational",
"dataset:cognitivecomputations/Dolphin-2.9",
"dataset:teknium/OpenHermes-2.5",
"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"dataset:cognitivecomputations/dolphin-coder",
"... | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "mistralai/Mistral-Nemo-Base-2407", "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "microsoft/orca-math-word-problems-200k", "Locutusque/function-calling-c... | null | null | [
"apache-2.0"
] | [
"cognitivecomputations/Dolphin-2.9",
"teknium/OpenHermes-2.5",
"m-a-p/CodeFeedback-Filtered-Instruction",
"cognitivecomputations/dolphin-coder",
"cognitivecomputations/samantha-data",
"microsoft/orca-math-word-problems-200k",
"Locutusque/function-calling-chatml",
"internlm/Agent-FLAN"
] | null | 12,247,802,880 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66a0ddff06d717844a951942 | Undi95/Meta-Llama-3.1-8B-Claude-bf16 | Undi95 | null | 30 | 761 | False | 2024-07-24T10:57:03Z | 2024-07-31T11:26:55Z | transformers | 5 | 1 | null | text-generation | {"parameters": {"BF16": 8030261248}, "total": 8030261248} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"... | fad676d99b32e9d135dbf4b32e88aceac37cd385 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_messag... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | # Details
Llama 3.1 8B Instruct trained on 9 000 000 Claude Opus/Sonnet tokens.
Trained on 2 epoch, for 6 hours on 8x H100 NVL.
# Training data used
- Norquinal/claude_multiround_chat_30k
- kalomaze/Opus_Instruct_3k
- mahiatlinux/Claude3-Opus-Instruct-ShareGPT-14k
- kalomaze/Opus_Instruct_25k
- meseca/opus-instruct... | null | null | null | null | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66a46427f48d07feabda3d18 | aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored | aifeifei798 | null | 525 | 156,198 | False | 2024-07-27T03:06:15Z | 2024-07-29T20:26:42Z | transformers | 226 | 1 | null | text-generation | {"parameters": {"BF16": 8030261248}, "total": 8030261248} | [
".gitattributes",
"DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored.png",
"OpenAnarchistLicense.md",
"README.md",
"Uncensored_Test/harmful_behaviors.csv",
"Uncensored_Test/harmful_behaviors.py",
"config.json",
"generation_config.json",
"model-00001-of-00009.safetensors",
"model-00002-of-00009.safeten... | 9cf1bd291cc6ab32b58b9aa518fa2f90d2bea406 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"roleplay",
"llama3",
"sillytavern",
"idol",
"facebook",
"meta",
"pytorch",
"llama-3",
"conversational",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"zh",
"ko",
"ja",
"arxiv:2204.05149",
"doi:10.57967/hf... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{ '<|begin_of_text|>' }}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|start_header_id|>sy... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en", "de", "fr", "it", "pt", "hi", "es", "th", "zh", "ko", "ja"], "library_name": null, "license": "llama3.1", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["roleplay... | # DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored
## "transformers_version" >= "4.43.1"
## Model Information
The module combination has been readjusted to better fu... | null | [
"llama3.1"
] | null | [
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"zh",
"ko",
"ja"
] | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66a8a27db812afa43fb0b7ee | tiiuae/falcon-mamba-7b-instruct | tiiuae | {
"models": [
{
"_id": "66976d726d173ec738175582",
"id": "tiiuae/falcon-mamba-7b"
}
],
"relation": "finetune"
} | 47,169 | 302,775 | False | 2024-07-30T08:21:17Z | 2024-12-17T11:11:40Z | transformers | 71 | 1 | null | text-generation | {"parameters": {"BF16": 7272665088}, "total": 7272665088} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00003.safetensors",
"model-00002-of-00003.safetensors",
"model-00003-of-00003.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | b250fc9399d14f56aca18e9ea70bbfb1f73479eb | [
"transformers",
"safetensors",
"falcon_mamba",
"text-generation",
"conversational",
"en",
"dataset:tiiuae/falcon-refinedweb",
"dataset:HuggingFaceFW/fineweb-edu",
"arxiv:2312.00752",
"arxiv:2410.05355",
"base_model:tiiuae/falcon-mamba-7b",
"base_model:finetune:tiiuae/falcon-mamba-7b",
"licen... | null | {"architectures": ["FalconMambaForCausalLM"], "model_type": "falcon_mamba", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{bos_token}}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "tiiuae/falcon-mamba-7b", "datasets": ["tiiuae/falcon-refinedweb", "HuggingFaceFW/fineweb-edu"], "eval_results": null, "language": ["en"], "library_name": null, "license": "other", "license_name": "falcon-mamba-7b-license", "license_link": "https://falconllm.tii.ae/falcon-mamba-7b-terms-and-conditions.ht... | <img src="https://huggingface.co/datasets/tiiuae/documentation-images/resolve/main/falcon_mamba/thumbnail.png" alt="drawing" width="800"/>
**Model card for FalconMamba Instruct model**
# Table of Contents
0. [TL;DR](#TL;DR)
1. [Model Details](#model-details)
2. [Usage](#usage)
3. [Training Details](#training-detail... | null | [
"other",
"falcon-mamba-7b-license",
"https://falconllm.tii.ae/falcon-mamba-7b-terms-and-conditions.html"
] | [
"tiiuae/falcon-refinedweb",
"HuggingFaceFW/fineweb-edu"
] | [
"en"
] | 7,272,665,088 | null | null | [
"AutoModelForCausalLM",
"falcon_mamba",
"FalconMambaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66b47e7009a06ad236a1556e | parler-tts/parler-tts-large-v1 | parler-tts | null | 10,342 | 1,132,727 | False | 2024-08-08T08:14:40Z | 2024-11-22T16:17:20Z | transformers | 272 | 1 | null | text-to-speech | {"parameters": {"F32": 2333013362}, "total": 2333013362} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"handler.py",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"preprocessor_config.json",
"requirements.txt",
"special_tokens_map.json",
"spiece.model",
"tokenizer.... | 50cb4b874c83902f930d7c2e753224c15654f11e | [
"transformers",
"safetensors",
"parler_tts",
"text-generation",
"text-to-speech",
"annotation",
"en",
"dataset:parler-tts/mls_eng",
"dataset:parler-tts/libritts_r_filtered",
"dataset:parler-tts/libritts-r-filtered-speaker-descriptions",
"dataset:parler-tts/mls-eng-speaker-descriptions",
"arxiv... | null | {"architectures": ["ParlerTTSForConditionalGeneration"], "model_type": "parler_tts", "tokenizer_config": {"eos_token": "</s>", "pad_token": "<pad>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": null, "datasets": ["parler-tts/mls_eng", "parler-tts/libritts_r_filtered", "parler-tts/libritts-r-filtered-speaker-descriptions", "parler-tts/mls-eng-speaker-descriptions"], "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_l... | <img src="https://huggingface.co/datasets/parler-tts/images/resolve/main/thumbnail.png" alt="Parler Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Parler-TTS Large v1
<a target="_blank" href="https://huggingface.co/spaces/parler-tts/parler_tts">
<img src="https://huggingface.c... | null | [
"apache-2.0"
] | [
"parler-tts/mls_eng",
"parler-tts/libritts_r_filtered",
"parler-tts/libritts-r-filtered-speaker-descriptions",
"parler-tts/mls-eng-speaker-descriptions"
] | [
"en"
] | 2,333,013,362 | null | null | [
"AutoModelForSeq2SeqLM",
"ParlerTTSForConditionalGeneration",
"parler_tts"
] | [
"text-to-speech",
"text-generation"
] | [
"text",
"audio"
] | [
"text"
] | [
"text",
"audio"
] |
66b71ecb5ce4c02bda61b9ae | goldfish-models/sqi_latn_1000mb | goldfish-models | null | 19 | 388 | False | 2024-08-10T08:03:23Z | 2024-08-26T16:56:05Z | transformers | 1 | 1 | null | text-generation | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"spiece.model",
"tokenizer.json",
"tokenizer_config.json"
] | d353ad713d9306aa1160ff82acc3d6c6b8c6724c | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"goldfish",
"arxiv:2408.10441",
"sqi",
"alb",
"dataset:oscar-corpus/OSCAR-2109",
"dataset:cis-lmu/Glot500",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": f... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["oscar-corpus/OSCAR-2109", "cis-lmu/Glot500"], "eval_results": null, "language": ["sqi", "alb"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["goldfi... | # sqi_latn_1000mb
Goldfish is a suite of monolingual language models trained for 350 languages.
This model is the <b>Albanian</b> (Latin script) model trained on 1000MB of data, after accounting for an estimated byte premium of 1.34; content-matched text in Albanian takes on average 1.34x as many UTF-8 bytes to encode... | null | [
"apache-2.0"
] | [
"oscar-corpus/OSCAR-2109",
"cis-lmu/Glot500"
] | [
"sqi",
"alb"
] | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66bcfb053c885d04493fa0d2 | ibm-research/PowerMoE-3b | ibm-research | null | 613,701 | 3,536,013 | False | 2024-08-14T18:44:21Z | 2024-09-24T22:04:31Z | transformers | 18 | 1 | [{"name": "ibm/PowerMoE-3b", "results": [{"task": {"type": "text-generation"}, "dataset": {"type": "lm-eval-harness", "name": "ARC"}, "metrics": [{"name": "accuracy-norm", "type": "accuracy-norm", "value": 58.1, "verified": false}]}, {"task": {"type": "text-generation"}, "dataset": {"type": "lm-eval-harness", "name": "... | text-generation | {"parameters": {"F32": 3374286336}, "total": 3374286336} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00003.safetensors",
"model-00002-of-00003.safetensors",
"model-00003-of-00003.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 13fcb5a98001438bed01cf1ac4b423751dc4c2ea | [
"transformers",
"safetensors",
"granitemoe",
"text-generation",
"arxiv:2408.13359",
"license:apache-2.0",
"model-index",
"region:us"
] | null | {"architectures": ["GraniteMoeForCausalLM"], "model_type": "granitemoe", "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"
} | {"library_name": "transformers", "license": "apache-2.0", "pipeline_tag": "text-generation", "inference": false, "model-index": [{"name": "ibm/PowerMoE-3b", "results": [{"task": {"type": "text-generation"}, "dataset": {"name": "ARC", "type": "lm-eval-harness"}, "metrics": [{"type": "accuracy-norm", "value": 58.1, "name... | ## Model Summary
PowerMoE-3B is a 3B sparse Mixture-of-Experts (sMoE) language model trained with the Power learning rate scheduler. It sparsely activates 800M parameters for each token. It is trained on a mix of open-source and proprietary datasets. PowerMoE-3B has shown promising results compared to other dense model... | null | [
"apache-2.0"
] | null | null | 3,374,286,336 | null | null | [
"granitemoe",
"AutoModelForCausalLM",
"GraniteMoeForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66bdb88e737c4ed8907b5c6c | Riksarkivet/trocr-base-handwritten-hist-swe-2 | Riksarkivet | {
"models": [
{
"_id": "621ffdc136468d709f17df0f",
"id": "microsoft/trocr-base-handwritten"
}
],
"relation": "finetune"
} | 10,195 | 256,092 | False | 2024-08-15T08:13:02Z | 2025-02-25T18:07:37Z | htrflow | 12 | 1 | null | image-to-text | {"parameters": {"F32": 384864769}, "total": 384864769} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"handler.py",
"merges.txt",
"model.safetensors",
"preprocessor_config.json",
"special_tokens_map.json",
"tensorboard/events.out.tfevents.1722593667.amlpai05.1105181.0",
"tensorboard/events.out.tfevents.1723193022.amlpai05.96... | 5aeb066486e54870751f17bbd8eec7ac7b722b1d | [
"htrflow",
"tensorboard",
"safetensors",
"vision-encoder-decoder",
"image-text-to-text",
"trocr",
"image-to-text",
"swedish lion libre",
"htr",
"transformers",
"swedish",
"historical",
"handwriting",
"sv",
"dataset:Riksarkivet/goteborgs_poliskammare_fore_1900_lines",
"dataset:Riksarkiv... | null | {"architectures": ["VisionEncoderDecoderModel"], "model_type": "vision-encoder-decoder", "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": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoTokenizer"
} | {"base_model": ["microsoft/trocr-base-handwritten"], "datasets": ["Riksarkivet/goteborgs_poliskammare_fore_1900_lines", "Riksarkivet/krigshovrattens_dombocker_lines", "Riksarkivet/svea_hovratt_lines", "Riksarkivet/bergskollegium_relationer_och_skrivelser_lines", "Riksarkivet/frihetstidens_utskottshandlingar_lines", "Ri... | # Swedish Lion Libre
An HTR model for historical swedish developed by the Swedish National Archives in collaboration with the Stockholm City Archives, the Finnish National Archives and Jämtlands Fornskriftsällskap. The model is trained on Swedish handwriting dating from ca 1600-1900
## Model Details
### Model Descri... | null | [
"apache-2.0"
] | [
"Riksarkivet/goteborgs_poliskammare_fore_1900_lines",
"Riksarkivet/krigshovrattens_dombocker_lines",
"Riksarkivet/svea_hovratt_lines",
"Riksarkivet/bergskollegium_relationer_och_skrivelser_lines",
"Riksarkivet/frihetstidens_utskottshandlingar_lines",
"Riksarkivet/carl_fredrik_pahlmans_resejournaler_lines"... | [
"sv"
] | 384,864,769 | null | [
"cer",
"wer"
] | [
"AutoModelForImageTextToText",
"vision-encoder-decoder",
"VisionEncoderDecoderModel"
] | [
"image-text-to-text",
"image-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
66bf8c217be2e67389979957 | mlabonne/Hermes-3-Llama-3.1-8B-lorablated | mlabonne | {
"models": [
{
"_id": "66a5de99a28bc058db44d78f",
"id": "NousResearch/Hermes-3-Llama-3.1-8B"
}
],
"relation": "finetune"
} | 95 | 55,981 | False | 2024-08-16T17:28:01Z | 2024-08-17T09:43:32Z | transformers | 42 | 1 | null | text-generation | {"parameters": {"BF16": 8030261248}, "total": 8030261248} | [
".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... | e6708270d40dfc4ce480db97fd4c3c67eafd466d | [
"transformers",
"safetensors",
"llama",
"text-generation",
"mergekit",
"merge",
"conversational",
"arxiv:2212.04089",
"base_model:NousResearch/Hermes-3-Llama-3.1-8B",
"base_model:finetune:NousResearch/Hermes-3-Llama-3.1-8B",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{bos_token}}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["NousResearch/Hermes-3-Llama-3.1-8B"], "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": null, "tags": ["mergekit", "merge"]} | # 🪽 Hermes-3-Llama-3.1-8B-lorablated
<center>70B version: <a href="https://huggingface.co/mlabonne/Hermes-3-Llama-3.1-70B-lorablated/"><i>mlabonne/Hermes-3-Llama-3.1-70B-lorablated</i></a></center>
... | null | null | null | null | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66bfe546a15b4eed7f6609a7 | microsoft/Phi-3.5-vision-instruct | microsoft | null | 1,210,197 | 11,901,583 | False | 2024-08-16T23:48:22Z | 2025-12-10T20:24:07Z | transformers | 728 | 1 | null | image-text-to-text | null | [
".gitattributes",
"CODE_OF_CONDUCT.md",
"LICENSE",
"README.md",
"SECURITY.md",
"SUPPORT.md",
"config.json",
"configuration_phi3_v.py",
"data_summary_card.md",
"generation_config.json",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"... | 12b77fb40b63a2c73c68243d3f767aab688a1b2a | [
"transformers",
"safetensors",
"phi3_v",
"text-generation",
"nlp",
"code",
"vision",
"image-text-to-text",
"conversational",
"custom_code",
"multilingual",
"arxiv:2404.14219",
"license:mit",
"region:us"
] | null | {"architectures": ["Phi3VForCausalLM"], "auto_map": {"AutoConfig": "configuration_phi3_v.Phi3VConfig", "AutoModelForCausalLM": "modeling_phi3_v.Phi3VForCausalLM"}, "model_type": "phi3_v", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% for message in messages %}{{'<|' + message['role'] + '|>' + '\n' + mes... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "modeling_phi3_v.Phi3VForCausalLM",
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["multilingual"], "library_name": "transformers", "license": "mit", "license_name": null, "license_link": "https://huggingface.co/microsoft/Phi-3.5-vision-instruct/resolve/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "image-... | ## Model Summary
Phi-3.5-vision is a lightweight, state-of-the-art open multimodal model built upon datasets which include - synthetic data and filtered publicly available websites - with a focus on very high-quality, reasoning dense data both on text and vision. The model belongs to the Phi-3 model family, and the mu... | null | [
"mit",
"https://huggingface.co/microsoft/Phi-3.5-vision-instruct/resolve/main/LICENSE"
] | null | [
"multilingual"
] | null | null | null | [
"modeling_phi3_v.Phi3VForCausalLM",
"AutoModelForCausalLM",
"Phi3VForCausalLM",
"phi3_v"
] | [
"image-text-to-text",
"text-generation"
] | [
"text",
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
66cee7970454d6467b65060e | Qwen/Qwen2-VL-2B-Instruct | Qwen | {
"models": [
{
"_id": "66d95a65e83856057c631778",
"id": "Qwen/Qwen2-VL-2B"
}
],
"relation": "finetune"
} | 2,359,643 | 30,238,810 | False | 2024-08-28T09:02:15Z | 2025-01-12T01:59:29Z | transformers | 497 | 1 | null | image-text-to-text | null | [
".gitattributes",
"LICENSE",
"README.md",
"chat_template.json",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"preprocessor_config.json",
"tokenizer.json",
"tokenizer_config.json"... | 895c3a49bc3fa70a340399125c650a463535e71c | [
"transformers",
"safetensors",
"qwen2_vl",
"image-text-to-text",
"multimodal",
"conversational",
"en",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen2-VL-2B",
"base_model:finetune:Qwen/Qwen2-VL-2B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
... | null | {"architectures": ["Qwen2VLForConditionalGeneration"], "model_type": "qwen2_vl", "processor_config": {"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpfu... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": ["Qwen/Qwen2-VL-2B"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": ["multimodal"]} | # Qwen2-VL-2B-Instruct
<a href="https://chat.qwenlm.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
## Introduction
We're excited to unveil **Qwen2-VL**, the la... | null | [
"apache-2.0"
] | null | [
"en"
] | null | null | null | [
"AutoModelForImageTextToText",
"qwen2_vl",
"Qwen2VLForConditionalGeneration"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
66d77e048a2e369b5d473afc | openvla/openvla-7b-finetuned-libero-10 | openvla | null | 7,272 | 43,030 | False | 2024-09-03T21:22:12Z | 2024-10-09T04:42:43Z | transformers | 5 | 1 | null | image-text-to-text | {"parameters": {"BF16": 7541237184}, "total": 7541237184} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"dataset_statistics.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",
... | 80970322773f81baa2e22fe495d0487b93a05cfa | [
"transformers",
"safetensors",
"openvla",
"feature-extraction",
"robotics",
"vla",
"image-text-to-text",
"multimodal",
"pretraining",
"custom_code",
"en",
"arxiv:2406.09246",
"license:mit",
"region:us"
] | null | {"architectures": ["OpenVLAForActionPrediction"], "auto_map": {"AutoConfig": "openvla/openvla-7b--configuration_prismatic.OpenVLAConfig", "AutoModelForVision2Seq": "openvla/openvla-7b--modeling_prismatic.OpenVLAForActionPrediction"}, "model_type": "openvla", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>",... | {
"auto_model": "AutoModelForVision2Seq",
"custom_class": "openvla/openvla-7b--modeling_prismatic.OpenVLAForActionPrediction",
"pipeline_tag": "feature-extraction",
"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": "image-text-to-text", "tags": ["robotics", "vla", "image-text-to-text", "multimodal", "pretr... | # OpenVLA 7B Fine-Tuned on LIBERO-10 (LIBERO-Long)
This model was produced by fine-tuning the [OpenVLA 7B model](https://huggingface.co/openvla/openvla-7b) via
LoRA (r=32) on the LIBERO-10 (LIBERO-Long) dataset from the [LIBERO simulation benchmark](https://libero-project.github.io/main.html).
We made a few modificati... | null | [
"mit"
] | null | [
"en"
] | 7,541,237,184 | null | null | [
"AutoModelForVision2Seq",
"openvla/openvla-7b--modeling_prismatic.OpenVLAForActionPrediction",
"openvla",
"OpenVLAForActionPrediction"
] | [
"image-text-to-text",
"feature-extraction"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text",
"embeddings"
] |
66d81a259d8f1cbddaf5b273 | Saxo/Linkbricks-Horizon-AI-Korean-Advanced-12B | Saxo | {
"models": [
{
"_id": "6697fed91020a9a4cdcca032",
"id": "mistralai/Mistral-Nemo-Instruct-2407"
}
],
"relation": "quantized"
} | 90 | 14,255 | False | 2024-09-04T08:28:21Z | 2025-03-27T08:39:49Z | transformers | 1 | 1 | null | text-generation | {"parameters": {"BF16": 12247782400}, "total": 12247782400} | [
".gitattributes",
"Linkbricks-Horizon-AI-Korean-Advanced-12B-bf16.gguf",
"Linkbricks-Horizon-AI-Korean-Advanced-12B-q4km.gguf",
"Linkbricks-Horizon-AI-Korean-Advanced-12B-q5km.gguf",
"Linkbricks-Horizon-AI-Korean-Advanced-12B-q6k.gguf",
"Linkbricks-Horizon-AI-Korean-Advanced-12B-q8.gguf",
"README.md",
... | 7838159fde6ec0a4dff87bbe86ae1f05b9e052d3 | [
"transformers",
"safetensors",
"gguf",
"mistral",
"text-generation",
"conversational",
"ko",
"en",
"jp",
"cn",
"dataset:Saxo/ko_cn_translation_tech_social_science_linkbricks_single_dataset",
"dataset:Saxo/ko_jp_translation_tech_social_science_linkbricks_single_dataset",
"dataset:Saxo/en_ko_t... | {"total": 12247782400, "architecture": "llama", "context_length": 1024000, "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 = messages %}\n{%- endif %}\n{%- if no... | {"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": "mistralai/Mistral-Nemo-Instruct-2407", "datasets": ["Saxo/ko_cn_translation_tech_social_science_linkbricks_single_dataset", "Saxo/ko_jp_translation_tech_social_science_linkbricks_single_dataset", "Saxo/en_ko_translation_tech_science_linkbricks_single_dataset_with_prompt_text_huggingface", "Saxo/en_ko_tr... | # Model Card for Model ID
<div align="center">
<img src="http://www.linkbricks.com/wp-content/uploads/2024/11/fulllogo.png" />
</div>
AI 전문 기업인 Linkbricks Horizon-AI 의 데이터사이언티스트인 지윤성(Saxo) 대표가 <br>
Mistral-Nemo-Instruct-2407 베이스모델을 사용해서 H100-80G 8개를 통해 약 20%정도의 파라미터를 한국어 CPT(Continued-Pretraining)->SFT->DPO 한 한글 언어 ... | null | [
"apache-2.0"
] | [
"Saxo/ko_cn_translation_tech_social_science_linkbricks_single_dataset",
"Saxo/ko_jp_translation_tech_social_science_linkbricks_single_dataset",
"Saxo/en_ko_translation_tech_science_linkbricks_single_dataset_with_prompt_text_huggingface",
"Saxo/en_ko_translation_social_science_linkbricks_single_dataset_with_pr... | [
"ko",
"en",
"jp",
"cn"
] | 12,247,782,400 | 12,247,782,400 | null | [
"AutoModelForCausalLM",
"llama",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66d8758b6b247a72f434df72 | Saxo/Linkbricks-Horizon-AI-Korean-Advanced-70B | Saxo | {
"models": [
{
"_id": "66a7a6ed5baa33fe01c27c87",
"id": "NousResearch/Hermes-3-Llama-3.1-70B"
}
],
"relation": "quantized"
} | 16 | 739 | False | 2024-09-04T14:58:19Z | 2024-12-05T03:41:50Z | transformers | 1 | 1 | null | text-generation | {"parameters": {"BF16": 70553706496}, "total": 70553706496} | [
".gitattributes",
"Linkbricks-Horizon-AI-Korean-Advanced-70B-q4km.gguf",
"Linkbricks-Horizon-AI-Korean-Advanced-70B-q5km.gguf",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00030.safetensors",
"model-00002-of-00030.safetensors",
"model-00003-of-00030.safetensors",
"model-0... | 573e4547633e670d427b71293e623d64577e264d | [
"transformers",
"safetensors",
"gguf",
"llama",
"text-generation",
"conversational",
"ko",
"en",
"jp",
"cn",
"dataset:Saxo/ko_cn_translation_tech_social_science_linkbricks_single_dataset",
"dataset:Saxo/ko_jp_translation_tech_social_science_linkbricks_single_dataset",
"dataset:Saxo/en_ko_tra... | {"total": 70553706560, "architecture": "llama", "context_length": 131072, "chat_template": "{{bos_token}}{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message[... | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": [{"name": "default", "template": "{{bos_token}}{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "NousResearch/Hermes-3-Llama-3.1-70B", "datasets": ["Saxo/ko_cn_translation_tech_social_science_linkbricks_single_dataset", "Saxo/ko_jp_translation_tech_social_science_linkbricks_single_dataset", "Saxo/en_ko_translation_tech_science_linkbricks_single_dataset_with_prompt_text_huggingface", "Saxo/en_ko_tra... | # Model Card for Model ID
<div align="center">
<img src="http://www.linkbricks.com/wp-content/uploads/2024/11/fulllogo.png" />
</div>
AI 와 빅데이터 분석 전문 기업인 Linkbricks의 데이터사이언티스트인 지윤성(Saxo) 이사가 <br>
Hermes-3-Llama-3.1-70B 베이스모델을 사용해서 H100-80G 8개를 통해 약 20%정도의 파라미터를 한국어 CPT(Continued-Pretraining)->SFT->DPO 한 한글 언어 모델<br>... | null | [
"apache-2.0"
] | [
"Saxo/ko_cn_translation_tech_social_science_linkbricks_single_dataset",
"Saxo/ko_jp_translation_tech_social_science_linkbricks_single_dataset",
"Saxo/en_ko_translation_tech_science_linkbricks_single_dataset_with_prompt_text_huggingface",
"Saxo/en_ko_translation_social_science_linkbricks_single_dataset_with_pr... | [
"ko",
"en",
"jp",
"cn"
] | 70,553,706,496 | 70,553,706,560 | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66d932fde781122aaef3e373 | Skywork/Skywork-Reward-Llama-3.1-8B | Skywork | {
"models": [
{
"_id": "6698d8a0653e4babe21e1e7d",
"id": "meta-llama/Llama-3.1-8B-Instruct"
}
],
"relation": "finetune"
} | 788 | 36,016 | False | 2024-09-05T04:26:37Z | 2024-10-25T01:22:45Z | transformers | 33 | 1 | null | text-classification | {"parameters": {"BF16": 7504932864}, "total": 7504932864} | [
".gitattributes",
"README.md",
"config.json",
"misc/Skywork Community License.pdf",
"misc/Skywork 模型社区许可协议.pdf",
"misc/fig.jpg",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.inde... | c2a90b9e673a425aba7089029be99f16bf5782ee | [
"transformers",
"safetensors",
"llama",
"text-classification",
"dataset:Skywork/Skywork-Reward-Preference-80K-v0.1",
"arxiv:2410.18451",
"base_model:meta-llama/Llama-3.1-8B-Instruct",
"base_model:finetune:meta-llama/Llama-3.1-8B-Instruct",
"text-embeddings-inference",
"endpoints_compatible",
"de... | null | {"architectures": ["LlamaForSequenceClassification"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message ... | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": "meta-llama/Meta-Llama-3.1-8B-Instruct", "datasets": ["Skywork/Skywork-Reward-Preference-80K-v0.1"], "eval_results": null, "language": null, "library_name": "transformers", "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-classificati... | <div align="center">
<img src="misc/fig.jpg" width="400"/>
🤗 <a href="https://huggingface.co/Skywork" target="_blank">Hugging Face</a> • 🤖 <a href="https://modelscope.cn/organization/Skywork" target="_blank">ModelScope</a>
<br>
<br>
<br>
</div>
# Skywork Reward Model Series
## Introduction
[**Skywork-Reward-Gemma-... | null | null | [
"Skywork/Skywork-Reward-Preference-80K-v0.1"
] | null | 7,504,932,864 | null | null | [
"LlamaForSequenceClassification",
"llama",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
66d95a65e83856057c631778 | Qwen/Qwen2-VL-2B | Qwen | null | 3,518 | 397,482 | False | 2024-09-05T07:14:45Z | 2024-12-06T04:50:16Z | transformers | 61 | 1 | null | image-text-to-text | {"parameters": {"BF16": 2208985600}, "total": 2208985600} | [
".gitattributes",
"LICENSE",
"README.md",
"chat_template.json",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"preprocessor_config.json",
"tokenizer.json",
"tokenizer_config.json"... | d3a53f2484fce9d62fff115a5ddfc833f873bfde | [
"transformers",
"safetensors",
"qwen2_vl",
"image-text-to-text",
"multimodal",
"conversational",
"en",
"arxiv:2409.12191",
"arxiv:2308.12966",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen2VLForConditionalGeneration"], "model_type": "qwen2_vl", "processor_config": {"chat_template": "{% if messages is string %}{{ messages }}{% else %}{% for content in messages %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}<|vision_start|><|image_pad|><|vision... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": ["multimodal"]} | # Qwen2-VL-2B
## Introduction
We're excited to unveil **Qwen2-VL**, the latest iteration of our Qwen-VL model, representing nearly a year of innovation.
> [!Important]
> This is the base pretrained model of Qwen2-VL-2B without instruction tuning.
### What’s New in Qwen2-VL?
#### Key Enhancements:
* **SoTA unders... | null | [
"apache-2.0"
] | null | [
"en"
] | 2,208,985,600 | null | null | [
"AutoModelForImageTextToText",
"qwen2_vl",
"Qwen2VLForConditionalGeneration"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
66d99c7e7577df8b2d4cff73 | jinaai/jina-embeddings-v3 | jinaai | null | 2,934,837 | 63,301,798 | False | 2024-09-05T11:56:46Z | 2025-02-24T07:06:37Z | transformers | 1,135 | 1 | [{"name": "jina-embeddings-v3", "results": [{"dataset": {"config": "default", "name": "MTEB AFQMC (default)", "revision": "b44c3b011063adb25877c13823db83bb193913c4", "split": "validation", "type": "C-MTEB/AFQMC"}, "metrics": [{"type": "cosine_pearson", "value": 41.74237700998808, "verified": false}, {"type": "cosine_sp... | feature-extraction | {"parameters": {"BF16": 572310396}, "total": 572310396} | [
".gitattributes",
"1_Pooling/config.json",
"README.md",
"config.json",
"config_sentence_transformers.json",
"custom_st.py",
"model.safetensors",
"modules.json",
"onnx/model.onnx",
"onnx/model.onnx_data",
"onnx/model_fp16.onnx",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.jso... | f1944de8402dcd5f2b03f822a4bc22a7f2de2eb9 | [
"transformers",
"pytorch",
"onnx",
"safetensors",
"feature-extraction",
"sentence-similarity",
"mteb",
"sentence-transformers",
"custom_code",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"... | null | {"architectures": ["XLMRobertaModel"], "auto_map": {"AutoConfig": "jinaai/xlm-roberta-flash-implementation--configuration_xlm_roberta.XLMRobertaFlashConfig", "AutoModel": "jinaai/xlm-roberta-flash-implementation--modeling_lora.XLMRobertaLoRA", "AutoModelForMaskedLM": "jinaai/xlm-roberta-flash-implementation--modeling_x... | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": null
} | {"language": ["multilingual", "af", "am", "ar", "as", "az", "be", "bg", "bn", "br", "bs", "ca", "cs", "cy", "da", "de", "el", "en", "eo", "es", "et", "eu", "fa", "fi", "fr", "fy", "ga", "gd", "gl", "gu", "ha", "he", "hi", "hr", "hu", "hy", "id", "is", "it", "ja", "jv", "ka", "kk", "km", "kn", "ko", "ku", "ky", "la", "l... | <br><br>
<p align="center">
<img src="https://huggingface.co/datasets/jinaai/documentation-images/resolve/main/logo.webp" alt="Jina AI: Your Search Foundation, Supercharged!" width="150px">
</p>
<p align="center">
<b>The embedding model trained by <a href="https://jina.ai/"><b>Jina AI</b></a>.</b>
</p>
<p align="ce... | null | [
"cc-by-nc-4.0"
] | null | [
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fr",
"fy",
"ga",
"gd",
"gl",
"gu",
"ha",
"he",
"hi",
"hr",
"hu",
"hy",
"id",
"is",
"i... | 572,310,396 | null | null | [
"XLMRobertaModel",
"AutoModel"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
66e06f40ec26df895d3b4953 | nvidia/Nemotron-Mini-4B-Instruct | nvidia | null | 21,609 | 120,260 | False | 2024-09-10T16:09:36Z | 2025-02-14T19:03:33Z | transformers | 179 | 1 | null | text-generation | null | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"nemo/nemotron-mini-4b-instruct.nemo",
"nvidia-community-model-license-aug2024.pdf",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | 791833e92ebddb0bc2c1007f6d2b6764f886a2ae | [
"transformers",
"pytorch",
"nemo",
"nemotron",
"text-generation",
"nvidia",
"llama-3",
"conversational",
"en",
"arxiv:2402.16819",
"arxiv:2407.14679",
"license:other",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["NemotronForCausalLM"], "model_type": "nemotron", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{{'<extra_id_0>System'}}{% for message in messages %}{% if message['role'] == 'system' %}{{'\n' + message['content'].strip()}}{% if tools or contexts %}{{'\n'}}{% endif %}{% endif %}{% endfor ... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "other", "license_name": "nvidia-open-model-license", "license_link": "https://developer.download.nvidia.com/licenses/nvidia-open-model-license-agreement-june-2024.pdf", "metrics": null, "model_na... | # Nemotron-Mini-4B-Instruct
## Model Overview
Nemotron-Mini-4B-Instruct is a model for generating responses for roleplaying, retrieval augmented generation, and function calling. It is a small language model (SLM) optimized through distillation, pruning and quantization for speed and on-device deployment. It is a fi... | null | [
"other",
"nvidia-open-model-license",
"https://developer.download.nvidia.com/licenses/nvidia-open-model-license-agreement-june-2024.pdf"
] | null | [
"en"
] | null | null | null | [
"NemotronForCausalLM",
"AutoModelForCausalLM",
"nemotron"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66e0b077290df82f13726b1b | microsoft/GRIN-MoE | microsoft | null | 266 | 73,708 | False | 2024-09-10T20:47:51Z | 2025-12-10T23:27:39Z | transformers | 200 | 1 | null | text-generation | null | [
".gitattributes",
"CODE_OF_CONDUCT.md",
"GRIN_MoE.pdf",
"LICENSE",
"NOTICE.md",
"README.md",
"SECURITY.md",
"added_tokens.json",
"config.json",
"configuration_grinmoe.py",
"data_summary_card.md",
"generation_config.json",
"model-00001-of-00017.safetensors",
"model-00002-of-00017.safetensor... | 9322db36d650fe705bd0af245e1f3d9c52bd07d0 | [
"transformers",
"safetensors",
"grinmoe",
"nlp",
"code",
"text-generation",
"conversational",
"custom_code",
"en",
"arxiv:2409.12136",
"arxiv:2404.14219",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GRIN-MoE"], "auto_map": {"AutoConfig": "configuration_grinmoe.GRINMoEConfig", "AutoModelForCausalLM": "modeling_grinmoe.GRINMoEForCausalLM"}, "model_type": "grinmoe", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% for message in messages %}{% if message['role'] == 'system' and message... | {
"auto_model": "GRIN-MoE",
"custom_class": null,
"pipeline_tag": null,
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "mit", "license_name": null, "license_link": "https://github.com/microsoft/GRIN-MoE/tree/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["nlp", "cod... | <h1 align="center"> 😁 MoE</h1>
<h4 align="center">GRIN: <em>GR</em>adient-<em>IN</em>formed MoE</h4>
<p align="center">
<a href="https://huggingface.co/microsoft/GRIN-MoE">Hugging Face</a>  |   <a href="https://arxiv.org/abs/2409.12136">Tech Report</a>  |   <a href="https://huggingface.co/micro... | null | [
"mit",
"https://github.com/microsoft/GRIN-MoE/tree/main/LICENSE"
] | null | [
"en"
] | null | null | null | [
"grinmoe",
"GRIN-MoE"
] | [
null,
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66e6d0a6126f9577f878c2e9 | Qwen/Qwen2.5-72B | Qwen | null | 58,069 | 508,661 | False | 2024-09-15T12:18:46Z | 2024-09-25T12:28:06Z | transformers | 93 | 1 | null | text-generation | {"parameters": {"BF16": 72706203648}, "total": 72706203648} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00037.safetensors",
"model-00002-of-00037.safetensors",
"model-00003-of-00037.safetensors",
"model-00004-of-00037.safetensors",
"model-00005-of-00037.safetensors",
"model-00006-of-0... | efba10c8e54e91e0d9570ab5f7b51a958474d4cb | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"en",
"arxiv:2407.10671",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are a helpful assistant.' ... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "other", "license_name": "qwen", "license_link": "https://huggingface.co/Qwen/Qwen2.5-72B/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": null} | # Qwen2.5-72B
## Introduction
Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:
- Significantly **more knowledge** ... | null | [
"other",
"qwen",
"https://huggingface.co/Qwen/Qwen2.5-72B/blob/main/LICENSE"
] | null | [
"en"
] | 72,706,203,648 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66e81d379ebf20e0639888fd | Qwen/Qwen2.5-Math-1.5B | Qwen | {
"models": [
{
"_id": "66e6d032663c452ad2400439",
"id": "Qwen/Qwen2.5-1.5B"
}
],
"relation": "finetune"
} | 768,738 | 4,598,677 | False | 2024-09-16T11:57:43Z | 2024-09-23T06:06:55Z | transformers | 103 | 1 | null | text-generation | {"parameters": {"BF16": 1543714304}, "total": 1543714304} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 4a83ca6e4526a4f2da3aa259ec36c259f66b2ab2 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"en",
"arxiv:2409.12122",
"base_model:Qwen/Qwen2.5-1.5B",
"base_model:finetune:Qwen/Qwen2.5-1.5B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'Please reason step by step, an... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "Qwen/Qwen2.5-1.5B", "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen2.5-Math-1.5B/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-gen... | # Qwen2.5-Math-1.5B
> [!Warning]
> <div align="center">
> <b>
> 🚨 Qwen2.5-Math mainly supports solving English and Chinese math problems through CoT and TIR. We do not recommend using this series of models for other tasks.
> </b>
> </div>
## Introduction
In August 2024, we released the first series of mathematical ... | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen2.5-Math-1.5B/blob/main/LICENSE"
] | null | [
"en"
] | 1,543,714,304 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66e81d43f85e59f0618f3b24 | Qwen/Qwen2.5-Math-7B | Qwen | {
"models": [
{
"_id": "66e6d06401e2adb00b0be996",
"id": "Qwen/Qwen2.5-7B"
}
],
"relation": "finetune"
} | 117,201 | 2,683,059 | False | 2024-09-16T11:57:55Z | 2024-09-23T06:07:51Z | transformers | 107 | 1 | null | text-generation | {"parameters": {"BF16": 7615616512}, "total": 7615616512} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"tokenizer.json",
"... | b101308fe89651ea5ce025f25317fea6fc07e96e | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"en",
"arxiv:2409.12122",
"base_model:Qwen/Qwen2.5-7B",
"base_model:finetune:Qwen/Qwen2.5-7B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'Please reason step by step, an... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "Qwen/Qwen2.5-7B", "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen2.5-Math-7B/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-generat... | # Qwen2.5-Math-7B
> [!Warning]
> <div align="center">
> <b>
> 🚨 Qwen2.5-Math mainly supports solving English and Chinese math problems through CoT and TIR. We do not recommend using this series of models for other tasks.
> </b>
> </div>
## Introduction
In August 2024, we released the first series of mathematical LL... | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen2.5-Math-7B/blob/main/LICENSE"
] | null | [
"en"
] | 7,615,616,512 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66e97aebb0adbd1a2486320a | kotoba-tech/kotoba-whisper-v2.0 | kotoba-tech | null | 4,699 | 315,393 | False | 2024-09-17T12:49:47Z | 2024-10-23T00:47:28Z | transformers | 90 | 1 | [{"name": "kotoba-tech/kotoba-whisper-v2.0", "results": [{"task": {"type": "automatic-speech-recognition"}, "dataset": {"name": "CommonVoice 8 (Japanese test set)", "type": "japanese-asr/ja_asr.common_voice_8_0"}, "metrics": [{"name": "WER", "type": "WER", "value": 58.8, "verified": false}, {"name": "CER", "type": "CER... | automatic-speech-recognition | {"parameters": {"BF16": 756405760}, "total": 756405760} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"create_student_model.py",
"generation_config.json",
"merges.txt",
"model.safetensors",
"normalizer.json",
"preprocessor_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 7eb575277d18909a4af8a24e3ae8cce2e99794ae | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"audio",
"hf-asr-leaderboard",
"ja",
"dataset:japanese-asr/whisper_transcriptions.reazonspeech.all",
"dataset:japanese-asr/whisper_transcriptions.reazonspeech.all.wer_10.0",
"dataset:japanese-asr/whisper_transcriptions.reazo... | null | {"architectures": ["WhisperForConditionalGeneration"], "model_type": "whisper", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "pad_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForSpeechSeq2Seq",
"custom_class": null,
"pipeline_tag": "automatic-speech-recognition",
"processor": "AutoProcessor"
} | {"datasets": ["japanese-asr/whisper_transcriptions.reazonspeech.all", "japanese-asr/whisper_transcriptions.reazonspeech.all.wer_10.0", "japanese-asr/whisper_transcriptions.reazonspeech.all.wer_10.0.vectorized"], "language": "ja", "library_name": "transformers", "license": "apache-2.0", "metrics": ["wer", "cer"], "pipel... | # Kotoba-Whisper (v2.0)
[**faster-whisper weight**](https://huggingface.co/kotoba-tech/kotoba-whisper-v2.0-faster), [**whisper.cpp weight**](https://huggingface.co/kotoba-tech/kotoba-whisper-v2.0-ggml), [**pipeline with stable-ts/punctuation**](https://huggingface.co/kotoba-tech/kotoba-whisper-v2.1)
_Kotoba-Whisper_ i... | null | [
"apache-2.0"
] | [
"japanese-asr/whisper_transcriptions.reazonspeech.all",
"japanese-asr/whisper_transcriptions.reazonspeech.all.wer_10.0",
"japanese-asr/whisper_transcriptions.reazonspeech.all.wer_10.0.vectorized"
] | [
"ja"
] | 756,405,760 | null | [
"wer",
"cer"
] | [
"WhisperForConditionalGeneration",
"whisper",
"AutoModelForSpeechSeq2Seq"
] | [
"automatic-speech-recognition"
] | [
"multimodal"
] | [
"audio"
] | [
"text"
] |
66e98a4ae3e3991610b54d00 | Qwen/Qwen2.5-14B-Instruct-AWQ | Qwen | {
"models": [
{
"_id": "66e81cdaa3681387ffc12b55",
"id": "Qwen/Qwen2.5-14B-Instruct"
}
],
"relation": "quantized"
} | 1,951,930 | 4,630,832 | False | 2024-09-17T13:55:22Z | 2024-10-09T12:26:42Z | transformers | 29 | 1 | null | text-generation | {"parameters": {"I32": 13212057600, "F16": 1557976064}, "total": 14770033664} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00003.safetensors",
"model-00002-of-00003.safetensors",
"model-00003-of-00003.safetensors",
"model.safetensors.index.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"... | 539535859b135b0244c91f3e59816150c8056698 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"arxiv:2309.00071",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-14B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-14B-Instruct",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compati... | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "quantization_config": {"bits": 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 ... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "Qwen/Qwen2.5-14B-Instruct", "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen2.5-14B-Instruct-AWQ/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_... | # Qwen2.5-14B-Instruct-AWQ
## Introduction
Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:
- Significantly **more... | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen2.5-14B-Instruct-AWQ/blob/main/LICENSE"
] | null | [
"en"
] | 14,770,033,664 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66e98a9fb099520781a9208d | Qwen/Qwen2.5-32B-Instruct-AWQ | Qwen | {
"models": [
{
"_id": "66e902f34eeaced24a2787f8",
"id": "Qwen/Qwen2.5-32B-Instruct"
}
],
"relation": "quantized"
} | 1,746,335 | 8,547,599 | False | 2024-09-17T13:56:47Z | 2024-10-09T12:26:37Z | transformers | 96 | 1 | null | text-generation | {"parameters": {"I32": 31205621760, "F16": 1558254592}, "total": 32763876352} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"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.safetensor... | 5c7cb76a268fc6cfbb9c4777eb24ba6e27f9ee6c | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"arxiv:2309.00071",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-32B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-32B-Instruct",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compati... | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "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 ... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "Qwen/Qwen2.5-32B-Instruct", "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen2.5-32B-Instruct-AWQ/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_... | # Qwen2.5-32B-Instruct-AWQ
## Introduction
Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:
- Significantly **more... | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen2.5-32B-Instruct-AWQ/blob/main/LICENSE"
] | null | [
"en"
] | 32,763,876,352 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66eaa052d25d383ddb9a6c5f | Qwen/Qwen2.5-Coder-1.5B | Qwen | {
"models": [
{
"_id": "66e6d032663c452ad2400439",
"id": "Qwen/Qwen2.5-1.5B"
}
],
"relation": "finetune"
} | 353,170 | 3,983,656 | False | 2024-09-18T09:41:38Z | 2024-11-18T12:53:05Z | transformers | 87 | 1 | null | text-generation | null | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | df3ce67c0e24480f20468b6ef2894622d69eb73b | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"code",
"qwen",
"qwen-coder",
"codeqwen",
"conversational",
"en",
"arxiv:2409.12186",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-1.5B",
"base_model:finetune:Qwen/Qwen2.5-1.5B",
"license:apache-2.0",
"text-generation-inference... | 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/Qwen2.5-1.5B"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-... | # Qwen2.5-Coder-1.5B
## Introduction
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 billion parameters, to meet the needs of different developers. Qwen2.5-Coder brings ... | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B/blob/main/LICENSE"
] | null | [
"en"
] | null | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66eaa05b64583d8d2f729e83 | Qwen/Qwen2.5-Coder-1.5B-Instruct | Qwen | {
"models": [
{
"_id": "66eaa052d25d383ddb9a6c5f",
"id": "Qwen/Qwen2.5-Coder-1.5B"
}
],
"relation": "finetune"
} | 837,537 | 3,681,979 | False | 2024-09-18T09:41:47Z | 2025-01-12T02:05:01Z | transformers | 110 | 1 | null | text-generation | {"parameters": {"BF16": 1543714304}, "total": 1543714304} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 2e1fd397ee46e1388853d2af2c993145b0f1098a | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"code",
"codeqwen",
"chat",
"qwen",
"qwen-coder",
"conversational",
"en",
"arxiv:2409.12186",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-Coder-1.5B",
"base_model:finetune:Qwen/Qwen2.5-Coder-1.5B",
"license:apache-2.0",
"tex... | 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-1.5B"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeli... | # Qwen2.5-Coder-1.5B-Instruct
<a href="https://chat.qwenlm.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
## Introduction
Qwen2.5-Coder is the latest series of... | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct/blob/main/LICENSE"
] | null | [
"en"
] | 1,543,714,304 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66eab7a79f86fb7168591ebf | zai-org/cogvlm2-llama3-caption | zai-org | {
"models": [
{
"_id": "6698d8a0653e4babe21e1e7d",
"id": "meta-llama/Llama-3.1-8B-Instruct"
}
],
"relation": "finetune"
} | 9,851 | 302,893 | False | 2024-09-18T11:21:11Z | 2025-05-14T04:42:57Z | transformers | 113 | 1 | null | video-text-to-text | null | [
".gitattributes",
"CogVLM2-Caption-example.png",
"README.md",
"README_zh.md",
"config.json",
"configuration.json",
"configuration_cogvlm.py",
"generation_config.json",
"model-00001-of-00006.safetensors",
"model-00002-of-00006.safetensors",
"model-00003-of-00006.safetensors",
"model-00004-of-00... | df8ec7b6de0eb36bab0549267bf322b17202ba24 | [
"transformers",
"safetensors",
"text-generation",
"video-text-to-text",
"custom_code",
"en",
"arxiv:2408.06072",
"base_model:meta-llama/Llama-3.1-8B-Instruct",
"base_model:finetune:meta-llama/Llama-3.1-8B-Instruct",
"license:other",
"region:us"
] | null | {"architectures": ["CogVLMVideoForCausalLM"], "auto_map": {"AutoConfig": "configuration_cogvlm.CogVLMConfig", "AutoModelForCausalLM": "modeling_cogvlm.CogVLMVideoForCausalLM"}, "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_pro... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "modeling_cogvlm.CogVLMVideoForCausalLM",
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": ["meta-llama/Meta-Llama-3.1-8B-Instruct"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "other", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "video-text-to-text", "tags": null, "inference": fals... | null | null | [
"other"
] | null | [
"en"
] | null | null | null | [
"AutoModelForCausalLM",
"modeling_cogvlm.CogVLMVideoForCausalLM",
"CogVLMVideoForCausalLM"
] | [
"video-text-to-text",
"text-generation"
] | [
"text",
"vision"
] | [
"text",
"image"
] | [
"text"
] |
66eb44b9561b0d0436c6571b | unsloth/Qwen2.5-7B-Instruct | unsloth | {
"models": [
{
"_id": "66e81cbcd683a3f4e5291bbf",
"id": "Qwen/Qwen2.5-7B-Instruct"
}
],
"relation": "finetune"
} | 93,109 | 779,178 | False | 2024-09-18T21:23:05Z | 2025-04-28T04:16:22Z | transformers | 23 | 1 | null | text-generation | {"parameters": {"BF16": 7615616512}, "total": 7615616512} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"special_to... | a75c9dc945567a9b6f568b8503a0307731607bee | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"unsloth",
"conversational",
"zho",
"eng",
"fra",
"spa",
"por",
"deu",
"ita",
"rus",
"jpn",
"kor",
"vie",
"tha",
"ara",
"arxiv:2309.00071",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"base_model:fi... | 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/Qwen2.5-7B-Instruct", "datasets": null, "eval_results": null, "language": ["zho", "eng", "fra", "spa", "por", "deu", "ita", "rus", "jpn", "kor", "vie", "tha", "ara"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": ... | # Finetune Llama 3.1, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth!
We have a Qwen 2.5 (all model sizes) [free Google Colab Tesla T4 notebook](https://colab.research.google.com/drive/1Kose-ucXO1IBaZq5BvbwWieuubP7hxvQ?usp=sharing).
Also a [Qwen 2.5 conversational style notebook](https://colab.resear... | null | [
"apache-2.0"
] | null | [
"zho",
"eng",
"fra",
"spa",
"por",
"deu",
"ita",
"rus",
"jpn",
"kor",
"vie",
"tha",
"ara"
] | 7,615,616,512 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66eb50118ed4a19697c13511 | mlx-community/Qwen2.5-Coder-7B-Instruct-4bit | mlx-community | {
"models": [
{
"_id": "66e81d2494457ccb513ef9c9",
"id": "Qwen/Qwen2.5-Coder-7B"
}
],
"relation": "finetune"
} | 4,090 | 274,665 | False | 2024-09-18T22:11:29Z | 2024-09-18T22:14:51Z | transformers | 10 | 1 | null | text-generation | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"merges.txt",
"model.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 019cc73c45c770444708a6dd8690c66243cc5c80 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"code",
"codeqwen",
"chat",
"qwen",
"qwen-coder",
"mlx",
"conversational",
"en",
"base_model:Qwen/Qwen2.5-Coder-7B",
"base_model:finetune:Qwen/Qwen2.5-Coder-7B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_c... | 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-7B"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_t... | # mlx-community/Qwen2.5-Coder-7B-Instruct-4bit
The Model [mlx-community/Qwen2.5-Coder-7B-Instruct-4bit](https://huggingface.co/mlx-community/Qwen2.5-Coder-7B-Instruct-4bit) was converted to MLX format from [Qwen/Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct) using mlx-lm version **0.... | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct/blob/main/LICENSE"
] | null | [
"en"
] | null | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66ecec52fcc1c455f81a91a4 | Qwen/Qwen2.5-Coder-7B-Instruct-AWQ | Qwen | {
"models": [
{
"_id": "66e9866925a2de6873aa5a9b",
"id": "Qwen/Qwen2.5-Coder-7B-Instruct"
}
],
"relation": "quantized"
} | 653,427 | 3,751,801 | False | 2024-09-20T03:30:26Z | 2024-11-18T12:54:24Z | transformers | 21 | 1 | null | text-generation | {"parameters": {"I32": 6525288448, "F16": 1090328064}, "total": 7615616512} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 8e8ed243bbe6f9a5aff549a0924562fc719b2b8a | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"code",
"codeqwen",
"chat",
"qwen",
"qwen-coder",
"conversational",
"en",
"arxiv:2409.12186",
"arxiv:2309.00071",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-Coder-7B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-Coder-7B-Inst... | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "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 ... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["Qwen/Qwen2.5-Coder-7B-Instruct"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct/blob/main/LICENSE", "metrics": null, "model_name": null, "p... | # Qwen2.5-Coder-7B-Instruct-AWQ
## Introduction
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 billion parameters, to meet the needs of different developers. Qwen2.5-Co... | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct/blob/main/LICENSE"
] | null | [
"en"
] | 7,615,616,512 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66edcedff49b1735be39ceff | ClaudioItaly/TypressAI-9B | ClaudioItaly | {
"models": [
{
"_id": "66804050c238f05e9537493c",
"id": "UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3"
},
{
"_id": "66e03223c52ff2985f355471",
"id": "ifable/gemma-2-Ifable-9B"
},
{
"_id": "66bc960dea2de7decd325c30",
"id": "lemon07r/Gemma-2-Ataraxy-9B"
},
{
"... | 7 | 183 | False | 2024-09-20T19:37:03Z | 2024-09-20T20:18:51Z | transformers | 3 | 1 | null | text-generation | {"parameters": {"BF16": 10159209984}, "total": 10159209984} | [
".gitattributes",
"README.md",
"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.index.json",
"special_tokens... | 1ebf5772ecb27234bdd11983d996b4ed53a386fe | [
"transformers",
"safetensors",
"gemma2",
"text-generation",
"mergekit",
"merge",
"conversational",
"it",
"en",
"arxiv:2311.03099",
"arxiv:2306.01708",
"base_model:UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3",
"base_model:merge:UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3",
"base_model:ifable/gemma-2-Ifable-9B"... | null | {"architectures": ["Gemma2ForCausalLM"], "model_type": "gemma2", "tokenizer_config": {"bos_token": "<bos>", "chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3", "ifable/gemma-2-Ifable-9B", "nbeerbower/gemma2-gutenberg-9B", "lemon07r/Gemma-2-Ataraxy-9B"], "datasets": null, "eval_results": null, "language": ["it", "en"], "library_name": "transformers", "license": "other", "license_name": null, "license_link": null, "metrics": ... | null | null | [
"other"
] | null | [
"it",
"en"
] | 10,159,209,984 | null | null | [
"AutoModelForCausalLM",
"gemma2",
"Gemma2ForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66f14cfbf41edbce00ca198b | TucanoBR/Tucano-630m | TucanoBR | null | 144 | 5,837 | False | 2024-09-23T11:11:55Z | 2025-07-24T07:44:02Z | transformers | 4 | 1 | [{"name": "Tucano-630m", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "CALAME-PT", "type": "NOVA-vision-language/calame-pt", "split": "all", "args": {"num_few_shot": 0}}, "metrics": [{"type": "acc", "value": 56.55, "name": "accuracy", "verified": false}], "source": {"... | text-generation | {"parameters": {"BF16": 630253568}, "total": 630253568} | [
".gitattributes",
"EVALS-630m.csv",
"LICENSE",
"README.md",
"config.json",
"emissions-630m.csv",
"evals.yaml",
"flax_model.msgpack",
"generation_config.json",
"logo.png",
"model.safetensors",
"pytorch_model.bin",
"results-multilingual.json",
"results-pt.json",
"special_tokens_map.json",
... | 7b9cf09027518680c590ff73c2dfc9e9566c461e | [
"transformers",
"pytorch",
"jax",
"safetensors",
"llama",
"text-generation",
"text-generation-inference",
"pt",
"dataset:TucanoBR/GigaVerbo",
"arxiv:2411.07854",
"license:apache-2.0",
"model-index",
"co2_eq_emissions",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": "<pad>", "unk_token": "<unk>", "use_default_system_prompt": false}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"datasets": ["TucanoBR/GigaVerbo"], "language": ["pt"], "library_name": "transformers", "license": "apache-2.0", "metrics": ["perplexity"], "pipeline_tag": "text-generation", "tags": ["text-generation-inference"], "widget": [{"text": "A floresta da Amaz\u00f4nia \u00e9 conhecida por sua", "example_title": "Exemplo"}, ... | null | null | [
"apache-2.0"
] | [
"TucanoBR/GigaVerbo"
] | [
"pt"
] | 630,253,568 | null | [
"perplexity"
] | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66f4591241aafc2b3032aeb8 | unsloth/Llama-3.2-1B-Instruct | unsloth | {
"models": [
{
"_id": "66eaedefece5ee215637cc82",
"id": "meta-llama/Llama-3.2-1B-Instruct"
}
],
"relation": "finetune"
} | 198,217 | 2,450,444 | False | 2024-09-25T18:40:18Z | 2025-05-09T20:24:41Z | transformers | 91 | 1 | null | text-generation | {"parameters": {"BF16": 1235814400}, "total": 1235814400} | [
".gitattributes",
"README.md",
"chat_template.jinja",
"config.json",
"generation_config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 5a8abab4a5d6f164389b1079fb721cfab8d7126c | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-3",
"meta",
"facebook",
"unsloth",
"conversational",
"en",
"base_model:meta-llama/Llama-3.2-1B-Instruct",
"base_model:finetune:meta-llama/Llama-3.2-1B-Instruct",
"license:llama3.2",
"text-generation-inference",
"endpoints_... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "eos_token": "<|eot_id|>", "pad_token": "<|finetune_right_pad_id|>", "unk_token": null, "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- en... | {
"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": null, "tags": ["llama-3", "llama", "meta", "facebook", "u... | ## ***See [our collection](https://huggingface.co/collections/unsloth/llama-32-66f46afde4ca573864321a22) for all versions of Llama 3.2 including GGUF, 4-bit and original 16-bit formats.***
# Finetune Llama 3.2, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth!
We have a free Google Colab Tesla T4 noteboo... | null | [
"llama3.2"
] | null | [
"en"
] | 1,235,814,400 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66f4e2753fcaae39dee70555 | Marqo/marqo-ecommerce-embeddings-L | Marqo | null | 32,118 | 712,004 | False | 2024-09-26T04:26:29Z | 2024-11-12T02:18:35Z | open_clip | 52 | 1 | null | null | {"parameters": {"F32": 652150784}, "total": 652150784} | [
".gitattributes",
"README.md",
"bar_chart_1.png",
"config.json",
"marqo_fashionSigLIP.py",
"model.safetensors",
"open_clip_config.json",
"open_clip_model.safetensors",
"open_clip_pytorch_model.bin",
"preprocessor_config.json",
"special_tokens_map.json",
"spiece.model",
"tokenizer.json",
"t... | 92e3b2606e34fe9a91b732229689e9fb9d422929 | [
"open_clip",
"safetensors",
"siglip",
"clip",
"ecommerce",
"multimodal retrieval",
"transformers",
"openCLIP",
"custom_code",
"dataset:Marqo/amazon-products-eval",
"dataset:Marqo/google-shopping-general-eval",
"license:apache-2.0",
"region:us"
] | null | {"auto_map": {"AutoConfig": "marqo_fashionSigLIP.MarqoFashionSigLIPConfig", "AutoModel": "marqo_fashionSigLIP.MarqoFashionSigLIP", "AutoProcessor": "marqo_fashionSigLIP.MarqoFashionSigLIPProcessor"}, "model_type": "siglip", "tokenizer_config": {"eos_token": "</s>", "pad_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": null,
"processor": null
} | {"base_model": null, "datasets": ["Marqo/amazon-products-eval", "Marqo/google-shopping-general-eval"], "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["clip", "ecommerce... | <div style="display: flex; align-items: center; gap: 10px;">
<a href="https://www.marqo.ai/blog/introducing-marqos-ecommerce-embedding-models">
<img src="https://img.shields.io/badge/Model_Release-Blog-blue?logo=font-awesome&logoColor=white&style=flat&logo=pencil-alt" alt="Blog">
</a>
<a href="https://github.... | null | [
"apache-2.0"
] | [
"Marqo/amazon-products-eval",
"Marqo/google-shopping-general-eval"
] | null | 652,150,784 | null | null | [
"AutoModel",
"siglip"
] | [
null
] | null | null | null |
66f64b267024ed3df9607e29 | abacusai/Dracarys2-Llama-3.1-70B-Instruct | abacusai | null | 18 | 375 | False | 2024-09-27T06:05:26Z | 2024-09-27T08:03:13Z | transformers | 8 | 1 | null | text-generation | {"parameters": {"BF16": 70553706496}, "total": 70553706496} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00030.safetensors",
"model-00002-of-00030.safetensors",
"model-00003-of-00030.safetensors",
"model-00004-of-00030.safetensors",
"model-00005-of-00030.safetensors",
"model-00006-of-00030.safetensors",
"model-0... | 316765625e9e8b893511cd28ef119cc1c1f996ff | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:llama3",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|e... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "llama3", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": []} | # Dracarys2-Llama-3.1-70B-Instruct
### Built with Meta Llama 3
# Introduction
We introduce the latest in the Smaug series, the Dracarys family of finetunes targeting coding performance improvements
across a variety of base models.
This variant is a finetune of [meta-llama/Meta-Llama-3.1-70B-Instruct](https://huggin... | null | [
"llama3"
] | null | null | 70,553,706,496 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66fa87d1e8f49eec68561a51 | BSC-LT/salamandra-7b-instruct | BSC-LT | {
"models": [
{
"_id": "66fa496846d413c380f8a048",
"id": "BSC-LT/salamandra-7b"
}
],
"relation": "finetune"
} | 96,109 | 344,612 | False | 2024-09-30T11:13:21Z | 2025-10-22T14:27:16Z | transformers | 77 | 1 | null | text-generation | {"parameters": {"BF16": 7768117248}, "total": 7768117248} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"images/corpus_languages_1.0.png",
"images/corpus_languages_1.1.png",
"images/results_eval_7b_judge.png",
"images/salamandra_header.png",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-o... | a3ed5452fafb3698a0423b1a18bfb5888f4e611b | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"bg",
"ca",
"code",
"cs",
"cy",
"da",
"de",
"el",
"en",
"es",
"et",
"eu",
"fi",
"fr",
"ga",
"gl",
"hr",
"hu",
"it",
"lt",
"lv",
"mt",
"nl",
"nn",
"oc",
"pl",
"pt",
"ro",
"ru... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{%- if messages[0]['role'] == 'system' %}{%- set system_message = messages[0]['content'] %}{%- set loop_messages = messages[1:] %}{%- else %}{%- set system_message = \"You are Salamandra, a language... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["BSC-LT/salamandra-7b"], "datasets": ["oscar-corpus/colossal-oscar-1.0", "HuggingFaceFW/fineweb-edu", "joelniklaus/eurlex_resources", "joelito/legal-mc4", "projecte-aina/CATalog", "UFRGS/brwac", "community-datasets/hrwac", "danish-foundation-models/danish-gigaword", "HiTZ/euscrawl", "PleIAs/French-PD-Ne... | null | null | [
"apache-2.0"
] | [
"oscar-corpus/colossal-oscar-1.0",
"HuggingFaceFW/fineweb-edu",
"joelniklaus/eurlex_resources",
"joelito/legal-mc4",
"projecte-aina/CATalog",
"UFRGS/brwac",
"community-datasets/hrwac",
"danish-foundation-models/danish-gigaword",
"HiTZ/euscrawl",
"PleIAs/French-PD-Newspapers",
"PleIAs/French-PD-B... | [
"bg",
"ca",
"code",
"cs",
"cy",
"da",
"de",
"el",
"en",
"es",
"et",
"eu",
"fi",
"fr",
"ga",
"gl",
"hr",
"hu",
"it",
"lt",
"lv",
"mt",
"nl",
"nn",
"\\no",
"oc",
"pl",
"pt",
"ro",
"ru",
"sh",
"sk",
"sl",
"sr",
"sv",
"uk"
] | 7,768,117,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66fac4d17f5d72452e58a8f9 | abacusai/Dracarys2-72B-Instruct | abacusai | null | 28 | 3,648 | False | 2024-09-30T15:33:37Z | 2024-10-31T06:18:48Z | transformers | 75 | 1 | null | text-generation | {"parameters": {"BF16": 72706203648}, "total": 72706203648} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00031.safetensors",
"model-00002-of-00031.safetensors",
"model-00003-of-00031.safetensors",
"model-00004-of-00031.safetensors",
"model-00005-of-00031.safetensors",
"model-... | 298cb0749098e58e7b67564376c195752e15d0a4 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Aliba... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "other", "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-generati... | # Dracarys2-72B-Instruct
# Introduction
We introduce the latest in the Smaug series, the Dracarys family of finetunes targeting coding performance improvements
across a variety of base models.
This variant is a finetune of [Qwen2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct)
Compared to Qwen2.5-... | null | [
"other",
"tongyi-qianwen",
"https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE"
] | null | [
"en"
] | 72,706,203,648 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66fdb62290627af2a4493a98 | ibm-granite/granite-3.0-2b-instruct | ibm-granite | {
"models": [
{
"_id": "66fdb5ff1456cd9c868e31fd",
"id": "ibm-granite/granite-3.0-2b-base"
}
],
"relation": "finetune"
} | 6,264 | 191,965 | False | 2024-10-02T21:07:46Z | 2024-12-19T19:45:46Z | transformers | 49 | 1 | [{"name": "granite-3.0-2b-instruct", "results": [{"task": {"type": "text-generation"}, "dataset": {"type": "instruction-following", "name": "IFEval"}, "metrics": [{"name": "pass@1", "type": "pass@1", "value": 46.07, "veriefied": false, "verified": false}]}, {"task": {"type": "text-generation"}, "dataset": {"type": "ins... | text-generation | {"parameters": {"BF16": 2634201088}, "total": 2634201088} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"merges.txt",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 5ad66c190631382717bd92d7b052adb1a7b669e7 | [
"transformers",
"safetensors",
"granite",
"text-generation",
"language",
"granite-3.0",
"conversational",
"arxiv:0000.00000",
"base_model:ibm-granite/granite-3.0-2b-base",
"base_model:finetune:ibm-granite/granite-3.0-2b-base",
"license:apache-2.0",
"model-index",
"region:us"
] | null | {"architectures": ["GraniteForCausalLM"], "model_type": "granite", "tokenizer_config": {"bos_token": "<|end_of_text|>", "chat_template": "{%- if tools %}\n {{- '<|start_of_role|>available_tools<|end_of_role|>\n' }}\n {%- for tool in tools %}\n {{- tool | tojson(indent=4) }}\n {%- if not loop.last %}\n ... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["ibm-granite/granite-3.0-2b-base"], "library_name": "transformers", "license": "apache-2.0", "pipeline_tag": "text-generation", "tags": ["language", "granite-3.0"], "inference": false, "new_version": "ibm-granite/granite-3.1-2b-instruct", "model-index": [{"name": "granite-3.0-2b-instruct", "results": [{... | <!--  -->
<!--  -->
# Granite-3.0-2B-Instruct
<!-- **Note: We are continuously improving our models and recommend users to checkout our latest [Gra... | null | [
"apache-2.0"
] | null | null | 2,634,201,088 | null | null | [
"granite",
"AutoModelForCausalLM",
"GraniteForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66fffb7cecbb3196152f0f62 | HuggingFaceTB/finemath-classifier | HuggingFaceTB | {
"models": [
{
"_id": "649e84b72ccae3ea1f35fb8b",
"id": "intfloat/multilingual-e5-small"
}
],
"relation": "finetune"
} | 13,375 | 181,674 | False | 2024-10-04T14:28:12Z | 2024-12-19T12:58:42Z | transformers | 13 | 1 | [{"name": "owm-math-scorer-multilingual-e5-small", "results": []}] | text-classification | {"parameters": {"F32": 117654145}, "total": 117654145} | [
".gitattributes",
"README.md",
"config.json",
"final/config.json",
"final/model.safetensors",
"final/sentencepiece.bpe.model",
"final/special_tokens_map.json",
"final/tokenizer.json",
"final/tokenizer_config.json",
"final/training_args.bin",
"model.safetensors",
"sentencepiece.bpe.model",
"s... | bd0b0e330750ccaafb16c47066f875b3fcb707c3 | [
"transformers",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:intfloat/multilingual-e5-small",
"base_model:finetune:intfloat/multilingual-e5-small",
"license:mit",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForSequenceClassification"], "model_type": "bert", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": "intfloat/multilingual-e5-small", "datasets": null, "eval_results": [], "language": null, "library_name": "transformers", "license": "mit", "license_name": null, "license_link": null, "metrics": ["precision", "recall", "accuracy"], "model_name": "owm-math-scorer-multilingual-e5-small", "pipeline_tag": nu... | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# FineMath classifier
## Model summary
This is a classifier for evaluating mathematical reasoning and deduction in web pages, fine-... | null | [
"mit"
] | null | null | 117,654,145 | null | [
"precision",
"recall",
"accuracy"
] | [
"BertForSequenceClassification",
"bert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
67028a91efe7611a8b964eed | adriszmar/whisper-large-v3-turbo-es | adriszmar | {
"models": [
{
"_id": "66fba7309482f97131bf08d6",
"id": "openai/whisper-large-v3-turbo"
}
],
"relation": "finetune"
} | 100 | 5,244 | False | 2024-10-06T13:03:13Z | 2024-10-07T19:22:38Z | transformers | 5 | 1 | [{"name": "Whisper Large V3 Turbo - Spanish", "results": []}] | automatic-speech-recognition | {"parameters": {"F32": 808878080}, "total": 808878080} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"normalizer.json",
"preprocessor_config.json",
"runs/Oct06_13-02-49_dbde02832067/events.out.tfevents.1728219913.dbde02832067.6356.0",
"special_tokens_map.json",
"toke... | b32b7042f31dbf695857e3a81037a43b97f1eee1 | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"whisper-event",
"generated_from_trainer",
"es",
"dataset:mozilla-foundation/common_voice_17_0",
"base_model:openai/whisper-large-v3-turbo",
"base_model:finetune:openai/whisper-large-v3-turbo",
"license:mi... | null | {"architectures": ["WhisperForConditionalGeneration"], "model_type": "whisper", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "pad_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForSpeechSeq2Seq",
"custom_class": null,
"pipeline_tag": "automatic-speech-recognition",
"processor": "AutoProcessor"
} | {"base_model": "openai/whisper-large-v3-turbo", "datasets": ["mozilla-foundation/common_voice_17_0"], "eval_results": [], "language": ["es"], "library_name": "transformers", "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": "Whisper Large V3 Turbo - Spanish", "pipeline_tag": n... | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Large V3 Turbo - Spanish
This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/ope... | null | [
"mit"
] | [
"mozilla-foundation/common_voice_17_0"
] | [
"es"
] | 808,878,080 | null | null | [
"WhisperForConditionalGeneration",
"whisper",
"AutoModelForSpeechSeq2Seq"
] | [
"automatic-speech-recognition"
] | [
"multimodal"
] | [
"audio"
] | [
"text"
] |
67048fb33df5fe4250b93fd2 | allura-org/MoE-Girl-1BA-7BT | allura-org | {
"models": [
{
"_id": "669c043b52cf1c619d8d8962",
"id": "allenai/OLMoE-1B-7B-0924"
}
],
"relation": "finetune"
} | 11 | 639 | False | 2024-10-08T01:49:39Z | 2024-10-11T14:31:43Z | transformers | 20 | 1 | [{"name": "MoE-girl_1BA_7BT", "results": []}] | text-generation | {"parameters": {"F32": 2097152, "BF16": 6917064704}, "total": 6919161856} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00003.safetensors",
"model-00002-of-00003.safetensors",
"model-00003-of-00003.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | e5d113f942a4ea24f2c882a0581e46eea96110b7 | [
"transformers",
"safetensors",
"olmoe",
"text-generation",
"axolotl",
"moe",
"roleplay",
"conversational",
"base_model:allenai/OLMoE-1B-7B-0924",
"base_model:finetune:allenai/OLMoE-1B-7B-0924",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["OlmoeForCausalLM"], "model_type": "olmoe", "tokenizer_config": {"bos_token": "<|endoftext|>", "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": "allenai/OLMoE-1B-7B-0924", "datasets": null, "eval_results": [], "language": null, "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": "MoE-girl_1BA_7BT", "pipeline_tag": null, "tags": ["axolotl", "moe", "roleplay"]} | # MoE Girl 1bA 7bT
A finetune of OLMoE by AllenAI designed for roleplaying (and maybe general usecases if you try hard enough).
## Disclaimer
PLEASE do not expect godliness out of this, it's a model... | null | [
"apache-2.0"
] | null | null | 6,919,161,856 | null | null | [
"OlmoeForCausalLM",
"olmoe",
"AutoModelForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6704b5623df5fe4250c8378a | Saxo/Linkbricks-Horizon-AI-Korean-Pro-12B | Saxo | {
"models": [
{
"_id": "66d81a259d8f1cbddaf5b273",
"id": "Saxo/Linkbricks-Horizon-AI-Korean-Advanced-12B"
}
],
"relation": "finetune"
} | 9 | 11,784 | False | 2024-10-08T04:30:26Z | 2025-03-27T08:43:14Z | transformers | 1 | 1 | null | text-generation | {"parameters": {"BF16": 12247802880}, "total": 12247802880} | [
".gitattributes",
"README.md",
"config.json",
"model-00001-of-00005.safetensors",
"model-00002-of-00005.safetensors",
"model-00003-of-00005.safetensors",
"model-00004-of-00005.safetensors",
"model-00005-of-00005.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.... | 942924ca52991dda745aefea3827eabe5c74de9e | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"ko",
"en",
"jp",
"cn",
"dataset:Saxo/ko_cn_translation_tech_social_science_linkbricks_single_dataset",
"dataset:Saxo/ko_jp_translation_tech_social_science_linkbricks_single_dataset",
"dataset:Saxo/en_ko_translation... | 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": ["Saxo/Linkbricks-Horizon-AI-Korean-Advanced-12B"], "datasets": ["Saxo/ko_cn_translation_tech_social_science_linkbricks_single_dataset", "Saxo/ko_jp_translation_tech_social_science_linkbricks_single_dataset", "Saxo/en_ko_translation_tech_science_linkbricks_single_dataset_with_prompt_text_huggingface", "S... | # Model Card for Model ID
<div align="center">
<img src="http://www.linkbricks.com/wp-content/uploads/2024/11/fulllogo.png" />
</div>
AI 전문 기업인 Linkbricks Horizon-AI 의 데이터사이언티스트인 지윤성(Saxo) 대표가 <br>
mistralai/Mistral-Nemo-Instruct-2407 베이스모델을 사용해서 H100-80G 8개를 통해 약 20%정도의 파라미터를 한국어 CPT(Continued-Pretraining)->SFT->DP... | null | [
"apache-2.0"
] | [
"Saxo/ko_cn_translation_tech_social_science_linkbricks_single_dataset",
"Saxo/ko_jp_translation_tech_social_science_linkbricks_single_dataset",
"Saxo/en_ko_translation_tech_science_linkbricks_single_dataset_with_prompt_text_huggingface",
"Saxo/en_ko_translation_social_science_linkbricks_single_dataset_with_pr... | [
"ko",
"en",
"jp",
"cn"
] | 12,247,802,880 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
670504b8fbace67c96b2480b | DavidAU/MN-Dark-Planet-TITAN-12B | DavidAU | null | 16 | 1,463 | False | 2024-10-08T10:08:56Z | 2024-11-22T03:07:37Z | transformers | 5 | 1 | null | text-generation | {"parameters": {"BF16": 12247782400}, "total": 12247782400} | [
".gitattributes",
"README.md",
"config.json",
"model-00001-of-00025.safetensors",
"model-00002-of-00025.safetensors",
"model-00003-of-00025.safetensors",
"model-00004-of-00025.safetensors",
"model-00005-of-00025.safetensors",
"model-00006-of-00025.safetensors",
"model-00007-of-00025.safetensors",
... | dd784359c46567b247090862cdf400ad4b07dd86 | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": [], "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", "merge"]} | <h2>MN-Dark-Planet-TITAN-12B</h2>
This repo contains the full precision source code, in "safe tensors" format to generate GGUFs, GPTQ, EXL2, AWQ, HQQ and other formats.
The source code can also be used directly.
<B>IMPORTANT: Highest Quality Settings / Optimal Operation Guide / Parameters and Samplers</B>
If you are... | null | null | null | null | 12,247,782,400 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67055f5db0cc1effd1cff32a | selimc/whisper-large-v3-turbo-turkish | selimc | {
"models": [
{
"_id": "66fba7309482f97131bf08d6",
"id": "openai/whisper-large-v3-turbo"
}
],
"relation": "finetune"
} | 297 | 9,132 | False | 2024-10-08T16:35:41Z | 2025-03-17T20:48:47Z | transformers | 20 | 1 | [{"name": "Whisper Large v3 Turbo TR - Selim \u00c7ava\u015f", "results": [{"task": {"name": "Automatic Speech Recognition", "type": "automatic-speech-recognition"}, "dataset": {"name": "Common Voice 17.0", "type": "mozilla-foundation/common_voice_17_0", "config": "tr", "split": "test", "args": "config: tr, split: test... | automatic-speech-recognition | {"parameters": {"F32": 808878080}, "total": 808878080} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"normalizer.json",
"preprocessor_config.json",
"runs/Oct10_10-11-08_a74b08ce9622/events.out.tfevents.1728555071.a74b08ce9622.642.0",
"special_tokens_map.json",
"token... | e914cebbaa5f7eefd2b77c2441f2d9a5e30e0286 | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"tr",
"dataset:mozilla-foundation/common_voice_17_0",
"base_model:openai/whisper-large-v3-turbo",
"base_model:finetune:openai/whisper-large-v3-turbo",
"license:mit",
"model-index"... | null | {"architectures": ["WhisperForConditionalGeneration"], "model_type": "whisper", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "pad_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForSpeechSeq2Seq",
"custom_class": null,
"pipeline_tag": "automatic-speech-recognition",
"processor": "AutoProcessor"
} | {"base_model": "openai/whisper-large-v3-turbo", "datasets": ["mozilla-foundation/common_voice_17_0"], "language": ["tr"], "library_name": "transformers", "license": "mit", "metrics": ["wer"], "tags": ["generated_from_trainer"], "model-index": [{"name": "Whisper Large v3 Turbo TR - Selim \u00c7ava\u015f", "results": [{"... | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Large v3 Turbo TR - Selim Çavaş
This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface... | null | [
"mit"
] | [
"mozilla-foundation/common_voice_17_0"
] | [
"tr"
] | 808,878,080 | null | [
"wer"
] | [
"WhisperForConditionalGeneration",
"whisper",
"AutoModelForSpeechSeq2Seq"
] | [
"automatic-speech-recognition"
] | [
"multimodal"
] | [
"audio"
] | [
"text"
] |
670cdb80821e3d81ee352d6d | BELLE-2/Belle-whisper-large-v3-turbo-zh | BELLE-2 | {
"models": [
{
"_id": "66fba7309482f97131bf08d6",
"id": "openai/whisper-large-v3-turbo"
}
],
"relation": "finetune"
} | 690 | 24,992 | False | 2024-10-14T08:51:12Z | 2024-12-16T03:44:13Z | transformers | 73 | 1 | null | automatic-speech-recognition | {"parameters": {"F32": 808878080}, "total": 808878080} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"normalizer.json",
"preprocessor_config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 7bfc7e7f88e002b7cce90567a532a10a5e8e55a1 | [
"transformers",
"pytorch",
"safetensors",
"whisper",
"automatic-speech-recognition",
"base_model:openai/whisper-large-v3-turbo",
"base_model:finetune:openai/whisper-large-v3-turbo",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["WhisperForConditionalGeneration"], "model_type": "whisper", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "pad_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForSpeechSeq2Seq",
"custom_class": null,
"pipeline_tag": "automatic-speech-recognition",
"processor": "AutoProcessor"
} | {"base_model": ["openai/whisper-large-v3-turbo"], "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["cer"], "model_name": null, "pipeline_tag": "automatic-speech-recognition", "tags": null} | ## Welcome
If you find this model helpful, please *like* this model and star us on https://github.com/LianjiaTech/BELLE and https://github.com/shuaijiang/Whisper-Finetune
# Belle-whisper-large-v3-turbo-zh
Fine tune whisper-large-v3-turbo-zh to enhance Chinese speech recognition capabilities,
Belle-whisper-large-v3-tu... | null | [
"apache-2.0"
] | null | null | 808,878,080 | null | [
"cer"
] | [
"WhisperForConditionalGeneration",
"whisper",
"AutoModelForSpeechSeq2Seq"
] | [
"automatic-speech-recognition"
] | [
"multimodal"
] | [
"audio"
] | [
"text"
] |
670fed79f509a29b70f1a06e | huihui-ai/Qwen2.5-7B-Instruct-abliterated-v3 | huihui-ai | {
"models": [
{
"_id": "66e81cbcd683a3f4e5291bbf",
"id": "Qwen/Qwen2.5-7B-Instruct"
}
],
"relation": "finetune"
} | 1,580 | 35,132 | False | 2024-10-16T16:44:41Z | 2025-04-28T12:56:33Z | transformers | 13 | 1 | null | text-generation | {"parameters": {"BF16": 7615616512}, "total": 7615616512} | [
".gitattributes",
"LICENSE",
"README.md",
"added_tokens.json",
"config.json",
"eval.sh",
"generation_config.json",
"merges.txt",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.... | 14ad76960db870165e4fd01a72c8165dea6af54d | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"abliterated",
"uncensored",
"conversational",
"zho",
"eng",
"fra",
"spa",
"por",
"deu",
"ita",
"rus",
"jpn",
"kor",
"vie",
"tha",
"ara",
"base_model:Qwen/Qwen2.5-7B-Instruct",
"base_model:finetune:Qwen/Qw... | 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/Qwen2.5-7B-Instruct", "datasets": null, "eval_results": null, "language": ["zho", "eng", "fra", "spa", "por", "deu", "ita", "rus", "jpn", "kor", "vie", "tha", "ara"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/huihui-ai/Qwe... | null | null | [
"apache-2.0",
"https://huggingface.co/huihui-ai/Qwen2.5-7B-Instruct-abliterated-v3/blob/main/LICENSE"
] | null | [
"zho",
"eng",
"fra",
"spa",
"por",
"deu",
"ita",
"rus",
"jpn",
"kor",
"vie",
"tha",
"ara"
] | 7,615,616,512 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6711e1ce7e752052280fe40c | deepseek-ai/Janus-1.3B | deepseek-ai | null | 4,340 | 339,439 | False | 2024-10-18T04:19:26Z | 2025-01-27T13:31:24Z | transformers | 594 | 1 | null | any-to-any | {"parameters": {"BF16": 2089297547}, "total": 2089297547} | [
".gitattributes",
"README.md",
"arch.jpg",
"config.json",
"model.safetensors",
"preprocessor_config.json",
"processor_config.json",
"special_tokens_map.json",
"teaser.png",
"tokenizer.json",
"tokenizer_config.json"
] | 56c70f4d34ca802c96254aea598b7d8e58e73840 | [
"transformers",
"safetensors",
"multi_modality",
"muiltimodal",
"text-to-image",
"unified-model",
"any-to-any",
"arxiv:2410.13848",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | {"model_type": "multi_modality", "tokenizer_config": {"bos_token": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "eos_token": "<\uff5cend\u2581of\u2581sentence\uff5c>", "pad_token": "<\uff5c\u2581pad\u2581\uff5c>", "unk_token": null, "use_default_system_prompt": false}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": null,
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "mit", "license_name": "deepseek", "license_link": "LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "any-to-any", "tags": ["muiltimodal", "text-to-image", "unified-model"]} | ## 0. Update
**2024.10.20**: We have uploaded the correct `tokenizer_config.json`. The previous file was missing the `pad_token`, which caused poor visual generation results.
## 1. Introduction
Janus is a novel autoregressive framework that unifies multimodal understanding and generation.
It addresses the limitatio... | null | [
"mit",
"deepseek",
"LICENSE"
] | null | null | 2,089,297,547 | null | null | [
"multi_modality",
"AutoModel"
] | [
null,
"text-to-image",
"any-to-any"
] | [
"vision",
"multimodal"
] | [
"text",
"any"
] | [
"any",
"image"
] |
671277243db2ca4084d6efa9 | kotoba-tech/kotoba-whisper-v2.2 | kotoba-tech | null | 14,876 | 317,834 | False | 2024-10-18T14:56:36Z | 2024-10-23T00:49:36Z | transformers | 97 | 1 | null | automatic-speech-recognition | {"parameters": {"F32": 756405760}, "total": 756405760} | [
".gitattributes",
".gitignore",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"kotoba_whisper.py",
"merges.txt",
"model.safetensors",
"normalizer.json",
"pipeline/kotoba_whisper.py",
"pipeline/push_pipeline.py",
"pipeline/test_pipeline.py",
"pipeline/test_speak... | 9d33482a0eb9b57f1ad80708e8ac5538246d8355 | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"audio",
"hf-asr-leaderboard",
"ja",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["WhisperForConditionalGeneration"], "model_type": "whisper", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "pad_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForSpeechSeq2Seq",
"custom_class": null,
"pipeline_tag": "automatic-speech-recognition",
"processor": "AutoProcessor"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": "ja", "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "automatic-speech-recognition", "tags": ["audio", "automatic-speech-recognition", "hf-a... | # Kotoba-Whisper-v2.2
_Kotoba-Whisper-v2.2_ is a Japanese ASR model based on [kotoba-tech/kotoba-whisper-v2.0](https://huggingface.co/kotoba-tech/kotoba-whisper-v2.0), with
additional postprocessing stacks integrated as [`pipeline`](https://huggingface.co/docs/transformers/en/main_classes/pipelines). The new features ... | null | [
"apache-2.0"
] | null | [
"ja"
] | 756,405,760 | null | null | [
"WhisperForConditionalGeneration",
"whisper",
"AutoModelForSpeechSeq2Seq"
] | [
"automatic-speech-recognition"
] | [
"multimodal"
] | [
"audio"
] | [
"text"
] |
6718f7bd7f45bd094a53884e | sarvamai/sarvam-1 | sarvamai | null | 8,433 | 64,026 | False | 2024-10-23T13:18:53Z | 2024-11-08T10:20:34Z | transformers | 133 | 1 | null | text-generation | {"parameters": {"BF16": 2525087744}, "total": 2525087744} | [
".gitattributes",
"LICENSE.md",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | e9607337286ddf496d4a2562b194e489dcf3feea | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"bn",
"en",
"gu",
"hi",
"kn",
"ml",
"mr",
"or",
"pa",
"ta",
"te",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = fal... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["bn", "en", "gu", "hi", "kn", "ml", "mr", "or", "pa", "ta", "te"], "library_name": "transformers", "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # Sarvam-1
Sarvam-1 is a 2-billion parameter language model specifically optimized for Indian languages. It provides best in-class performance in 10 Indic languages (bn, gu, hi, kn, ml, mr, or, pa, ta, te) when compared with popular models like Gemma-2-2B and Llama-3.2-3B. It is also competitive against the much large... | null | null | null | [
"bn",
"en",
"gu",
"hi",
"kn",
"ml",
"mr",
"or",
"pa",
"ta",
"te"
] | 2,525,087,744 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
671bb9220b91e3131561cfa4 | ibm-research/materials.selfies-ted | ibm-research | null | 23,603 | 989,107 | False | 2024-10-25T15:28:34Z | 2025-10-13T17:46:29Z | transformers | 11 | 1 | null | feature-extraction | {"parameters": {"F32": 358059096}, "total": 358059096} | [
".DS_Store",
".gitattributes",
".idea/.gitignore",
".idea/inspectionProfiles/Project_Default.xml",
".idea/inspectionProfiles/profiles_settings.xml",
".idea/materials.selfies-ted.iml",
".idea/misc.xml",
".idea/modules.xml",
".idea/vcs.xml",
"README.md",
"config.json",
"generation_config.json",
... | 55e83392264cb998f7aa5014847df29868aefeb8 | [
"transformers",
"pytorch",
"safetensors",
"bart",
"text2text-generation",
"chemistry",
"feature-extraction",
"arxiv:2410.12348",
"doi:10.57967/hf/6690",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BartForConditionalGeneration"], "model_type": "bart", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "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": null, "pipeline_tag": "feature-extraction", "tags": ["chemistry", "transformers"]} | null | null | [
"apache-2.0"
] | null | null | 358,059,096 | null | null | [
"bart",
"BartForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation",
"feature-extraction"
] | [
"multimodal"
] | [
"text"
] | [
"embeddings"
] |
6723892e4a49116d8ead173e | HuggingFaceTB/SmolLM2-1.7B-Instruct | HuggingFaceTB | {
"models": [
{
"_id": "6722b822fa3a5e2e10489123",
"id": "HuggingFaceTB/SmolLM2-1.7B"
}
],
"relation": "quantized"
} | 104,194 | 1,784,056 | False | 2024-10-31T13:42:06Z | 2025-04-21T20:51:14Z | transformers | 724 | 1 | null | text-generation | null | [
".gitattributes",
"README.md",
"all_results.json",
"config.json",
"eval_results.json",
"generation_config.json",
"instructions_function_calling.md",
"merges.txt",
"model.safetensors",
"onnx/model.onnx",
"onnx/model.onnx_data",
"onnx/model_bnb4.onnx",
"onnx/model_fp16.onnx",
"onnx/model_fp1... | 31b70e2e869a7173562077fd711b654946d38674 | [
"transformers",
"tensorboard",
"onnx",
"safetensors",
"llama",
"text-generation",
"transformers.js",
"conversational",
"en",
"arxiv:2502.02737",
"base_model:HuggingFaceTB/SmolLM2-1.7B",
"base_model:quantized:HuggingFaceTB/SmolLM2-1.7B",
"license:apache-2.0",
"text-generation-inference",
... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|im_start|>", "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>\n'... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["HuggingFaceTB/SmolLM2-1.7B"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["safetensors", "onnx", "transfo... | # SmolLM2
## Table of Contents
1. [Model Summary](#model-summary)
2. [Evaluation](#evaluation)
3. [Examples](#examples)
4. [Limitations](#limitations)
5. [Training](#training)
6. [License](#license... | null | [
"apache-2.0"
] | null | [
"en"
] | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
672cc7e405fbc0acf9b52120 | TucanoBR/Tucano-2b4-Instruct | TucanoBR | {
"models": [
{
"_id": "670f8005ae6d318c23e58061",
"id": "TucanoBR/Tucano-2b4"
}
],
"relation": "finetune"
} | 448 | 11,348 | False | 2024-11-07T14:00:04Z | 2025-07-24T07:42:14Z | transformers | 7 | 1 | [{"name": "Tucano-2b4-Instruct", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "CALAME-PT", "type": "NOVA-vision-language/calame-pt", "split": "all", "args": {"num_few_shot": 0}}, "metrics": [{"type": "acc", "value": 57.66, "name": "accuracy", "verified": false}], "sou... | text-generation | {"parameters": {"F32": 2444628480}, "total": 2444628480} | [
".gitattributes",
"EVALS-2b4-instruct.csv",
"LICENSE",
"README.md",
"alpaca-eval.csv",
"config.json",
"emissions-2b4-instruct.csv",
"evals-dpo.yaml",
"evals-sft.yaml",
"generation_config.json",
"logo.png",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safet... | dcf05536b15e4c7aaa35128b5ba47d34c3aede9b | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"text-generation-inference",
"conversational",
"pt",
"dataset:nicholasKluge/instruct-aira-dataset-v3",
"dataset:cnmoro/GPT4-500k-Augmented-PTBR-Clean",
"dataset:rhaymison/orca-math-portuguese-64k",
"dataset:nicholasKluge/rew... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% i... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["TucanoBR/Tucano-2b4"], "datasets": ["nicholasKluge/instruct-aira-dataset-v3", "cnmoro/GPT4-500k-Augmented-PTBR-Clean", "rhaymison/orca-math-portuguese-64k", "nicholasKluge/reward-aira-dataset"], "language": ["pt"], "library_name": "transformers", "license": "apache-2.0", "metrics": ["perplexity"], "pip... | null | null | [
"apache-2.0"
] | [
"nicholasKluge/instruct-aira-dataset-v3",
"cnmoro/GPT4-500k-Augmented-PTBR-Clean",
"rhaymison/orca-math-portuguese-64k",
"nicholasKluge/reward-aira-dataset"
] | [
"pt"
] | 2,444,628,480 | null | [
"perplexity"
] | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
672d30fc70734f59f17733fa | buddhist-nlp/gemma-2-mitra-it | buddhist-nlp | null | 802 | 2,004 | False | 2024-11-07T21:28:28Z | 2024-11-08T00:35:12Z | transformers | 9 | 1 | null | text-generation | {"parameters": {"F32": 9241705984}, "total": 9241705984} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00008.safetensors",
"model-00002-of-00008.safetensors",
"model-00003-of-00008.safetensors",
"model-00004-of-00008.safetensors",
"model-00005-of-00008.safetensors",
"model-00006-of-00008.safetensors",
"model-0... | 737688f7ca4b850203625da83c8bbaf9ada78327 | [
"transformers",
"safetensors",
"gemma2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["Gemma2ForCausalLM"], "model_type": "gemma2", "tokenizer_config": {"bos_token": "<bos>", "eos_token": "<eos>", "pad_token": "<pad>", "unk_token": "<unk>", "use_default_system_prompt": false}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": []} | # gemma2-mitra-it
This is based on gemma2-mitra-base and finetuned on Translation instructions.
The template for prompting the model is this:
```
Please translate into <target_language>: <input_sentence> 🔽 Translation::
```
Line breaks in this model should be replaced with the '🔽' character before running the gene... | null | null | null | null | 9,241,705,984 | null | null | [
"AutoModelForCausalLM",
"gemma2",
"Gemma2ForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
672d46ab250205b3174c4439 | yentinglin/Llama-3.1-Taiwan-8B | yentinglin | null | 178 | 8,310 | False | 2024-11-07T23:00:59Z | 2025-04-20T02:17:55Z | transformers | 5 | 1 | null | text-generation | {"parameters": {"BF16": 8030261248}, "total": 8030261248} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"... | bd7b342124f8a23e9058dfb2e2830a60274cce7b | [
"transformers",
"safetensors",
"llama",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "eos_token": "<|end_of_text|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": []} | null | null | null | null | null | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
672dec5fb852a01eae148d38 | Qwen/Qwen2.5-Coder-0.5B | Qwen | {
"models": [
{
"_id": "66e6cfeb6998c3d86c14e163",
"id": "Qwen/Qwen2.5-0.5B"
}
],
"relation": "finetune"
} | 41,301 | 373,805 | False | 2024-11-08T10:47:59Z | 2024-11-18T12:52:36Z | transformers | 48 | 1 | null | text-generation | {"parameters": {"BF16": 494032768}, "total": 494032768} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 8123ea2e9354afb7ffcc6c8641d1b2f5ecf18301 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"code",
"qwen",
"qwen-coder",
"codeqwen",
"conversational",
"en",
"arxiv:2409.12186",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-0.5B",
"base_model:finetune:Qwen/Qwen2.5-0.5B",
"license:apache-2.0",
"text-generation-inference... | 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/Qwen2.5-0.5B"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen2.5-Coder-0.5B/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-... | # Qwen2.5-Coder-0.5B
## Introduction
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 billion parameters, to meet the needs of different developers. Qwen2.5-Coder brings ... | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen2.5-Coder-0.5B/blob/main/LICENSE"
] | null | [
"en"
] | 494,032,768 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67324ccc9e05f3e25706e407 | mlx-community/Qwen2.5-Coder-32B-Instruct-bf16 | mlx-community | {
"models": [
{
"_id": "672b1f9e956e6880fdb8c1e5",
"id": "Qwen/Qwen2.5-Coder-32B-Instruct"
}
],
"relation": "finetune"
} | 334 | 2,499 | False | 2024-11-11T18:28:28Z | 2024-11-11T19:01:37Z | transformers | 11 | 1 | null | text-generation | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"merges.txt",
"model-00001-of-00013.safetensors",
"model-00002-of-00013.safetensors",
"model-00003-of-00013.safetensors",
"model-00004-of-00013.safetensors",
"model-00005-of-00013.safetensors",
"model-00006-of-00013.safetensors",... | f1f5505e901e6180b44b87181508f524ca77dedc | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"code",
"codeqwen",
"chat",
"qwen",
"qwen-coder",
"mlx",
"conversational",
"en",
"base_model:Qwen/Qwen2.5-Coder-32B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-Coder-32B-Instruct",
"license:apache-2.0",
"text-generation-infere... | 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": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct/blob/main/LICENSE", "metrics": null, "model_name": null, "p... | # mlx-community/Qwen2.5-Coder-32B-Instruct-bf16
The Model [mlx-community/Qwen2.5-Coder-32B-Instruct-bf16](https://huggingface.co/mlx-community/Qwen2.5-Coder-32B-Instruct-bf16) was converted to MLX format from [Qwen/Qwen2.5-Coder-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct) using mlx-lm version... | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct/blob/main/LICENSE"
] | null | [
"en"
] | null | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
673410e818caf8e87780fd17 | AIDC-AI/Marco-o1 | AIDC-AI | null | 362 | 57,408 | False | 2024-11-13T02:37:28Z | 2024-11-23T10:40:27Z | transformers | 712 | 1 | null | text-generation | {"parameters": {"BF16": 7615616512}, "total": 7615616512} | [
".gitattributes",
"LICENSE",
"NOTICE",
"README.md",
"assets/img.png",
"assets/intro_2.jpg",
"assets/logo.png",
"assets/results.jpg",
"assets/translation.jpg",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"m... | 5e4deeeb286b7a2e35a6d16989e64df860f7f4e5 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"arxiv:2411.14405",
"license:apache-2.0",
"text-generation-inference",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\n\n\u4f60\u662f\u4e00\u4e2a\u7ecf\u8fc7\u826f\u597d\u8bad\u7ec3\u7684AI\u52a9\u624b\uff0c\u4... | {
"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, "inference": false} | <p align="center">
<img src="assets/logo.png" width="150" style="margin-bottom: 0.2;"/>
<p>
# 🍓 Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions
<!-- Broader Real-World Applications -->
<!-- # 🍓 Marco-o1: An Open Large Reasoning Model for Real-World Solutions -->
<!-- <h2 align="center"> <a h... | null | [
"apache-2.0"
] | null | null | 7,615,616,512 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6734f163506e0296dc006018 | yentinglin/Llama-3.1-Taiwan-8B-Instruct | yentinglin | null | 429 | 2,942 | False | 2024-11-13T18:35:15Z | 2025-04-20T02:18:01Z | transformers | 9 | 1 | null | text-generation | {"parameters": {"BF16": 8030261248}, "total": 8030261248} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"... | 7a0e2caca6d8e7919130fe7574a35db2ad3875b5 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_messag... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": []} | null | null | null | null | null | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6736b2047506985f27b40477 | vonjack/MobileLLM-125M-HF | vonjack | null | 30 | 3,663 | False | 2024-11-15T02:29:24Z | 2024-11-19T01:39:45Z | transformers | 3 | 1 | [{"name": "MobileLLM-125M-HF", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "IFEval (0-Shot)", "type": "HuggingFaceH4/ifeval", "args": {"num_few_shot": 0}}, "metrics": [{"type": "inst_level_strict_acc and prompt_level_strict_acc", "value": 21.07, "name": "strict accur... | text-generation | {"parameters": {"F16": 124635456}, "total": 124635456} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | 95290dd6b5d7fa616e6921ba0e35c5ff259fb8d1 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:2402.14905",
"license:cc-by-nc-4.0",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<s>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "</s>", "lstrip": false, "normalized": true, "rstrip":... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"library_name": "transformers", "license": "cc-by-nc-4.0", "model-index": [{"name": "MobileLLM-125M-HF", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "IFEval (0-Shot)", "type": "HuggingFaceH4/ifeval", "args": {"num_few_shot": 0}}, "metrics": [{"type": "inst_level_str... | # Model Details
MobileLLM is introduced: "[MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases](https://arxiv.org/abs/2402.14905)", published in ICML 2024.
**Model Developer**: Meta
**Model Architecture**: MobileLLM is an auto-regressive language model leveraging an optimized transfor... | null | [
"cc-by-nc-4.0"
] | null | null | 124,635,456 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
673859cf7361bf275420222d | prithivMLmods/Llama-Doctor-3.2-3B-Instruct | prithivMLmods | {
"models": [
{
"_id": "66eaef786865fea1324edb5d",
"id": "meta-llama/Llama-3.2-3B-Instruct"
}
],
"relation": "finetune"
} | 100 | 1,896 | False | 2024-11-16T08:37:35Z | 2025-07-10T15:02:58Z | transformers | 6 | 1 | null | text-generation | {"parameters": {"F16": 3212749824}, "total": 3212749824} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 2eaa603ed5f76a7a8974d5fc56e3a22013788fe4 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"Llama-3.2",
"3B",
"Llama-Doctor",
"Instruct",
"Llama-Cpp",
"meta",
"pytorch",
"Doctor-Llama",
"conversational",
"en",
"dataset:avaliev/chat_doctor",
"base_model:meta-llama/Llama-3.2-3B-Instruct",
"base_model:finetune:meta-ll... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_messag... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["meta-llama/Llama-3.2-3B-Instruct"], "datasets": ["avaliev/chat_doctor"], "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": ["Llama-3... | null | null | [
"llama3.2"
] | [
"avaliev/chat_doctor"
] | [
"en"
] | 3,212,749,824 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6739018d19cbbe3091c4d411 | FallenMerick/MN-Violet-Lotus-12B | FallenMerick | {
"models": [
{
"_id": "66e30fa2a007fc9b30e0501a",
"id": "Epiculous/Violet_Twilight-v0.2"
},
{
"_id": "66a29192e42ce7eca21daf10",
"id": "NeverSleep/Lumimaid-v0.2-12B"
},
{
"_id": "66eaa310da3dec1ab82ab8aa",
"id": "Sao10K/MN-12B-Lyra-v4"
},
{
"_id":... | 1,131 | 13,086 | False | 2024-11-16T20:33:17Z | 2024-11-19T00:12:03Z | transformers | 88 | 1 | null | text-generation | {"parameters": {"BF16": 12247782400}, "total": 12247782400} | [
".gitattributes",
"80-EQ.png",
"README.md",
"ST-Preset.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.safetens... | 211c4b16ba9702dc02efd1f07aed11c2d8f45fa2 | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"storywriting",
"text adventure",
"creative",
"story",
"writing",
"fiction",
"roleplaying",
"rp",
"mergekit",
"merge",
"conversational",
"en",
"arxiv:2403.19522",
"base_model:Epiculous/Violet_Twilight-v0.2",
"base_model... | 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": ["mistralai/Mistral-Nemo-Instruct-2407", "Epiculous/Violet_Twilight-v0.2", "NeverSleep/Lumimaid-v0.2-12B", "flammenai/Mahou-1.5-mistral-nemo-12B", "Sao10K/MN-12B-Lyra-v4"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "cc-by-4.0", "license_name": ... | 
# MN-Violet-Lotus-12B
This is the model I was trying to create when [Chunky-Lotus](https://huggingface.co/FallenMerick/MN-Chunky-Lotus-12B) emerged. Not only does this model score higher on my local EQ benchmarks (80.00 w/ 1... | null | [
"cc-by-4.0"
] | null | [
"en"
] | 12,247,782,400 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
673aa50021972b9d6f12ca99 | JackyHoCL/whisper-large-v3-turbo-cantonese-yue-english | JackyHoCL | {
"models": [
{
"_id": "66fba7309482f97131bf08d6",
"id": "openai/whisper-large-v3-turbo"
}
],
"relation": "finetune"
} | 252 | 9,583 | False | 2024-11-18T02:22:56Z | 2025-10-11T08:36:14Z | transformers | 11 | 1 | null | automatic-speech-recognition | {"parameters": {"F32": 808878080}, "total": 808878080} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"normalizer.json",
"preprocessor_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 58d693f33007f3b44b4657d7c063523c01574918 | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"dataset:mozilla-foundation/common_voice_17_0",
"dataset:mozilla-foundation/common_voice_16_1",
"dataset:JackyHoCL/cleaned_mixed_cantonese_and_english_speech",
"base_model:openai/whisper-large-v3-turbo",
"base_model:finetune:o... | null | {"architectures": ["WhisperForConditionalGeneration"], "model_type": "whisper", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "pad_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForSpeechSeq2Seq",
"custom_class": null,
"pipeline_tag": "automatic-speech-recognition",
"processor": "AutoProcessor"
} | {"base_model": ["openai/whisper-large-v3-turbo"], "datasets": ["mozilla-foundation/common_voice_17_0", "mozilla-foundation/common_voice_16_1", "JackyHoCL/cleaned_mixed_cantonese_and_english_speech"], "eval_results": null, "language": null, "library_name": "transformers", "license": "mit", "license_name": null, "license... | null | null | [
"mit"
] | [
"mozilla-foundation/common_voice_17_0",
"mozilla-foundation/common_voice_16_1",
"JackyHoCL/cleaned_mixed_cantonese_and_english_speech"
] | null | 808,878,080 | null | [
"cer"
] | [
"WhisperForConditionalGeneration",
"whisper",
"AutoModelForSpeechSeq2Seq"
] | [
"automatic-speech-recognition"
] | [
"multimodal"
] | [
"audio"
] | [
"text"
] |
673f00359650116f044133ac | tiiuae/Falcon3-7B-Base | tiiuae | null | 5,641 | 96,561 | False | 2024-11-21T09:41:09Z | 2024-12-17T16:23:16Z | transformers | 36 | 1 | null | text-generation | {"parameters": {"BF16": 7455550464}, "total": 7455550464} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"... | bf3d7ed586cb22a921520e2d681a9d3d7642cde8 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"falcon3",
"en",
"fr",
"es",
"pt",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"eos_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en", "fr", "es", "pt"], "library_name": "transformers", "license": "other", "license_name": "falcon-llm-license", "license_link": "https://falconllm.tii.ae/falcon-terms-and-conditions.html", "metrics": null, "model_name": null, "pipeline_tag": n... | <div align="center">
<img src="https://huggingface.co/datasets/tiiuae/documentation-images/resolve/main/general/falco3-logo.png" alt="drawing" width="500"/>
</div>
# Falcon3-7B-Base
**Falcon3** family of Open Foundation Models is a set of pretrained and instruct LLMs ranging from 1B to 10B.
This repository conta... | null | [
"other",
"falcon-llm-license",
"https://falconllm.tii.ae/falcon-terms-and-conditions.html"
] | null | [
"en",
"fr",
"es",
"pt"
] | 7,455,550,464 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
674045c427b90045bdfeb3d9 | parler-tts/parler-tts-mini-multilingual-v1.1 | parler-tts | null | 237,462 | 1,201,228 | False | 2024-11-22T08:50:12Z | 2024-12-04T18:23:03Z | transformers | 56 | 1 | null | text-to-speech | {"parameters": {"F32": 937803241}, "total": 937803241} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model.safetensors",
"preprocessor_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | 11b27d57855dec1ce0914ba1f12363bf2ea75ba3 | [
"transformers",
"safetensors",
"parler_tts",
"text-generation",
"text-to-speech",
"annotation",
"en",
"fr",
"es",
"pt",
"pl",
"de",
"nl",
"it",
"dataset:facebook/multilingual_librispeech",
"dataset:parler-tts/libritts_r_filtered",
"dataset:parler-tts/libritts-r-filtered-speaker-descr... | null | {"architectures": ["ParlerTTSForConditionalGeneration"], "model_type": "parler_tts", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": "<unk>", "unk_token": "<unk>", "use_default_system_prompt": false}} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": null, "datasets": ["facebook/multilingual_librispeech", "parler-tts/libritts_r_filtered", "parler-tts/libritts-r-filtered-speaker-descriptions", "parler-tts/mls_eng", "parler-tts/mls-eng-speaker-descriptions", "ylacombe/mls-annotated", "ylacombe/cml-tts-filtered-annotated", "PHBJT/cml-tts-filtered"], "ev... | <img src="https://huggingface.co/datasets/parler-tts/images/resolve/main/thumbnail.png" alt="Parler Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Parler-TTS Mini Multilingual v1.1
<a target="_blank" href="https://huggingface.co/spaces/PHBJT/multi_parler_tts">
<img src="https:... | null | [
"apache-2.0"
] | [
"facebook/multilingual_librispeech",
"parler-tts/libritts_r_filtered",
"parler-tts/libritts-r-filtered-speaker-descriptions",
"parler-tts/mls_eng",
"parler-tts/mls-eng-speaker-descriptions",
"ylacombe/mls-annotated",
"ylacombe/cml-tts-filtered-annotated",
"PHBJT/cml-tts-filtered"
] | [
"en",
"fr",
"es",
"pt",
"pl",
"de",
"nl",
"it"
] | 937,803,241 | null | null | [
"AutoModelForSeq2SeqLM",
"ParlerTTSForConditionalGeneration",
"parler_tts"
] | [
"text-to-speech",
"text-generation"
] | [
"text",
"audio"
] | [
"text"
] | [
"text",
"audio"
] |
6748526bf4fd7f6bb1edb702 | NbAiLab/nb-whisper-large-distil-turbo-beta | NbAiLab | {
"models": [
{
"_id": "6748526bf4fd7f6bb1edb702",
"id": "NbAiLab/nb-whisper-large-distil-turbo-beta"
}
],
"relation": "finetune"
} | 17,544 | 35,350 | False | 2024-11-28T11:22:19Z | 2025-09-10T11:04:50Z | transformers | 9 | 1 | null | automatic-speech-recognition | {"parameters": {"F32": 756405760}, "total": 756405760} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"preprocessor_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 5f3a904a7ff82fbf3de5c48d59edf9c59b820773 | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"audio",
"asr",
"no",
"nb",
"nn",
"en",
"dataset:NbAiLab/ncc_speech",
"dataset:NbAiLab/NST",
"dataset:NbAiLab/NPSC",
"base_model:NbAiLab/nb-whisper-large-distil-turbo-beta",
"base_model:finetune:NbAiLab/nb-whisper-... | null | {"architectures": ["WhisperForConditionalGeneration"], "model_type": "whisper", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "pad_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForSpeechSeq2Seq",
"custom_class": null,
"pipeline_tag": "automatic-speech-recognition",
"processor": "AutoProcessor"
} | {"base_model": "NbAiLab/nb-whisper-large-distil-turbo-beta", "datasets": ["NbAiLab/ncc_speech", "NbAiLab/NST", "NbAiLab/NPSC"], "eval_results": null, "language": ["no", "nb", "nn", "en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["wer", "cer"], "mod... | # NB-Whisper Large Distilled Turbo BETA
Introducing **_NB Whisper Large Distil Turbo BETA_**, a lighter, faster version of the Norwegian ASR model developed by the National Library of Norway. This distilled model maintains strong transcription quality while being optimized for resource-constrained environments.
It is... | null | [
"apache-2.0"
] | [
"NbAiLab/ncc_speech",
"NbAiLab/NST",
"NbAiLab/NPSC"
] | [
"no",
"nb",
"nn",
"en"
] | 756,405,760 | null | [
"wer",
"cer"
] | [
"WhisperForConditionalGeneration",
"whisper",
"AutoModelForSpeechSeq2Seq"
] | [
"automatic-speech-recognition"
] | [
"multimodal"
] | [
"audio"
] | [
"text"
] |
6749937f2e62a1fc6eaf15d2 | tiiuae/Falcon3-7B-Instruct | tiiuae | {
"models": [
{
"_id": "673f00359650116f044133ac",
"id": "tiiuae/Falcon3-7B-Base"
}
],
"relation": "finetune"
} | 24,415 | 431,659 | False | 2024-11-29T10:12:15Z | 2025-05-31T08:24:41Z | transformers | 77 | 1 | null | text-generation | {"parameters": {"BF16": 7455550464}, "total": 7455550464} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"... | 1e57a0ecd176c7c139f289c60a74e57f887c3dfb | [
"transformers",
"safetensors",
"llama",
"text-generation",
"falcon3",
"conversational",
"en",
"fr",
"es",
"pt",
"base_model:tiiuae/Falcon3-7B-Base",
"base_model:finetune:tiiuae/Falcon3-7B-Base",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"chat_template": "{%- if tools %}\n{{- '<|system|>\\n' }}\n{%- if messages[0]['role'] == 'system' %}\n{{- messages[0]['content'] }}\n{%- set remaining_messages = messages[1:] %}\n{%- else %}\n{%- set remaining_messages = messages %}\n{%... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "tiiuae/Falcon3-7B-Base", "datasets": null, "eval_results": null, "language": ["en", "fr", "es", "pt"], "library_name": "transformers", "license": "other", "license_name": "falcon-llm-license", "license_link": "https://falconllm.tii.ae/falcon-terms-and-conditions.html", "metrics": null, "model_name": nul... | <div align="center">
<img src="https://huggingface.co/datasets/tiiuae/documentation-images/resolve/main/general/falco3-logo.png" alt="drawing" width="500"/>
</div>
# Falcon3-7B-Instruct
**Falcon3** family of Open Foundation Models is a set of pretrained and instruct LLMs ranging from 1B to 10B.
This repository c... | null | [
"other",
"falcon-llm-license",
"https://falconllm.tii.ae/falcon-terms-and-conditions.html"
] | null | [
"en",
"fr",
"es",
"pt"
] | 7,455,550,464 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
674e3a1abf664e47afe3041d | codesage/codesage-large-v2 | codesage | null | 1,214 | 138,152 | False | 2024-12-02T22:52:10Z | 2024-12-28T22:26:28Z | transformers | 13 | 1 | null | null | null | [
".gitattributes",
"1_Pooling/config.json",
"README.md",
"added_tokens.json",
"config.json",
"config_codesage.py",
"merges.txt",
"modeling_codesage.py",
"modules.json",
"pytorch_model.bin",
"sentence_bert_config.json",
"special_tokens_map.json",
"tokenization_codesage.py",
"tokenizer.json",... | 6e5d6dc15db3e310c37c6dbac072409f95ffa5c5 | [
"transformers",
"pytorch",
"custom_code",
"code",
"dataset:bigcode/the-stack-dedup",
"dataset:bigcode/the-stack-v2",
"arxiv:2402.01935",
"arxiv:2209.11755",
"arxiv:2305.06161",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["CodeSage"], "auto_map": {"AutoConfig": "config_codesage.CodeSageConfig", "AutoTokenizer": "tokenization_codesage.CodeSageTokenizer", "AutoModel": "modeling_codesage.CodeSageModel", "AutoModelForMaskedLM": "modeling_codesage.CodeSageForMaskedLM", "AutoModelForSequenceClassification": "modeling_codesa... | {
"auto_model": "CodeSage",
"custom_class": null,
"pipeline_tag": null,
"processor": null
} | {"base_model": null, "datasets": ["bigcode/the-stack-dedup", "bigcode/the-stack-v2"], "eval_results": null, "language": ["code"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | ## CodeSage-Large-v2
### Updates
* 1. <span style="color:blue">We are excited to announce the release of the CodeSage V2 model family with largely improved performance!</span> <strong>Please check out our [blogpost](https://code-representation-learning.github.io/codesage-v2.html) for more details</strong>.
* 2. In add... | null | [
"apache-2.0"
] | [
"bigcode/the-stack-dedup",
"bigcode/the-stack-v2"
] | [
"code"
] | null | null | null | [
"CodeSage"
] | [
null
] | null | null | null |
674ed8bd540ff341826eed29 | erbacher/llama3.2-1B-MATH | erbacher | {
"models": [
{
"_id": "66eaedefece5ee215637cc82",
"id": "meta-llama/Llama-3.2-1B-Instruct"
}
],
"relation": "finetune"
} | 6 | 20 | False | 2024-12-03T10:09:01Z | 2024-12-03T14:12:25Z | transformers | 1 | 1 | null | text-generation | {"parameters": {"F32": 1498482688}, "total": 1498482688} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin"
] | 89296f245d6d8d20f81083047f9685be9e83109c | [
"transformers",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"trl",
"sft",
"conversational",
"dataset:erbacher/MATH_TTT",
"base_model:meta-llama/Llama-3.2-1B-Instruct",
"base_model:finetune:meta-llama/Llama-3.2-1B-Instruct",
"text-generation-inference",
"endpoints_com... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_messag... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "meta-llama/Llama-3.2-1B-Instruct", "datasets": "erbacher/MATH_TTT", "eval_results": null, "language": null, "library_name": "transformers", "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": "llama3.2-1B-MATH", "pipeline_tag": null, "tags": ["generated_from_train... | # Model Card for llama3.2-1B-MATH
This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the [erbacher/MATH_TTT](https://huggingface.co/datasets/erbacher/MATH_TTT) dataset.
It has been trained using [TRL](https://github.com/huggingface/trl).... | null | null | [
"erbacher/MATH_TTT"
] | null | 1,498,482,688 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
674edc2d40cf038aa7138e6b | VincentGOURBIN/Llama-3.2-3B-Fluxed-Lora-uncensored | VincentGOURBIN | {
"models": [
{
"_id": "66f6c2e1584cae45b567a3b5",
"id": "chuanli11/Llama-3.2-3B-Instruct-uncensored"
}
],
"relation": "finetune"
} | 0 | 0 | False | 2024-12-03T10:23:41Z | 2024-12-03T10:23:49Z | transformers | 1 | 1 | null | null | null | [
".gitattributes",
"README.md",
"adapter_config.json",
"adapter_model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 06f6b8dee383dfab4a77388ceafa11dad546b652 | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"llama",
"trl",
"en",
"base_model:chuanli11/Llama-3.2-3B-Instruct-uncensored",
"base_model:finetune:chuanli11/Llama-3.2-3B-Instruct-uncensored",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"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_message = true %}\n{%- endif %}\n{%- if not date_string is defined %... | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": null,
"processor": null
} | {"base_model": "chuanli11/Llama-3.2-3B-Instruct-uncensored", "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", "transforme... | null | null | [
"apache-2.0"
] | null | [
"en"
] | null | null | null | [
"AutoModel"
] | [
null
] | null | null | null |
674f9886b570c27e5db0382b | NousResearch/Hermes-3-Llama-3.2-3B | NousResearch | null | 6,886 | 1,111,742 | False | 2024-12-03T23:47:18Z | 2024-12-18T22:32:55Z | transformers | 176 | 1 | [{"name": "Hermes-3-Llama-3.2-3B", "results": []}] | text-generation | {"parameters": {"BF16": 3212749824}, "total": 3212749824} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer (7).json",
"tokenizer.json",
"tokenizer_config.json"
] | 7f1a6bec8cdce6551014fd5bbeb4cd8c0f1fbeab | [
"transformers",
"safetensors",
"llama",
"text-generation",
"Llama-3",
"instruct",
"finetune",
"chatml",
"gpt4",
"synthetic data",
"distillation",
"function calling",
"json mode",
"axolotl",
"roleplaying",
"chat",
"conversational",
"en",
"arxiv:2408.11857",
"license:llama3",
"... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "meta-llama/Meta-Llama-3.2-3B", "datasets": null, "eval_results": [], "language": ["en"], "library_name": "transformers", "license": "llama3", "license_name": null, "license_link": null, "metrics": null, "model_name": "Hermes-3-Llama-3.2-3B", "pipeline_tag": null, "tags": ["Llama-3", "instruct", "finetun... | # Hermes 3 - Llama-3.2 3B
## Model Description
Hermes 3 3B is a small but mighty new addition to the Hermes series of LLMs by Nous Research, and is Nous's first fine-tune in this parameter class.... | null | [
"llama3"
] | null | [
"en"
] | 3,212,749,824 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6751d49671416d41d9feb1e4 | distil-whisper/distil-large-v3.5 | distil-whisper | null | 46,083 | 209,389 | False | 2024-12-05T16:28:06Z | 2025-03-25T07:56:24Z | transformers | 87 | 1 | null | automatic-speech-recognition | null | [
".gitattributes",
".gitignore",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"hf-whisper-distil-multi-v0.2/events.out.tfevents.1732842515.jzxh112.1688663.0",
"hf-whisper-distil-multi-v0.2/events.out.tfevents.1732907831.jzxh108.2302919.0",
"hf-whisper-distil-multi-v0.2/e... | 92cc789b758f9408cd7b94ef0e6e84a6746aaa00 | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"audio",
"en",
"arxiv:2311.00430",
"arxiv:2106.05237",
"arxiv:1904.08779",
"arxiv:1910.13267",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["WhisperForConditionalGeneration"], "model_type": "whisper", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "pad_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForSpeechSeq2Seq",
"custom_class": null,
"pipeline_tag": "automatic-speech-recognition",
"processor": "AutoProcessor"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "automatic-speech-recognition", "tags": ["audio", "automatic-speech-recognition"], "widget":... | # Distil-Whisper: Distil-Large-v3.5
Distil-Whisper is the knowledge-distilled version of OpenAI's [Whisper-Large-v3](https://huggingface.co/openai/whisper-large-v3), described in the paper [Robust Knowledge Distillation via Large-Scale Pseudo Labelling](https://arxiv.org/abs/2311.00430). As the newest addition to the ... | null | [
"mit"
] | null | [
"en"
] | null | null | null | [
"WhisperForConditionalGeneration",
"whisper",
"AutoModelForSpeechSeq2Seq"
] | [
"automatic-speech-recognition"
] | [
"multimodal"
] | [
"audio"
] | [
"text"
] |
67536c1f97148ba00aaf3f65 | unsloth/Llama-3.3-70B-Instruct | unsloth | {
"models": [
{
"_id": "6745f28f9333dfcc06268b1e",
"id": "meta-llama/Llama-3.3-70B-Instruct"
}
],
"relation": "finetune"
} | 12,989 | 1,250,302 | False | 2024-12-06T21:26:55Z | 2025-11-25T05:55:43Z | transformers | 51 | 1 | null | text-generation | {"parameters": {"BF16": 70553706496}, "total": 70553706496} | [
".gitattributes",
"README.md",
"chat_template.jinja",
"config.json",
"generation_config.json",
"model-00001-of-00030.safetensors",
"model-00002-of-00030.safetensors",
"model-00003-of-00030.safetensors",
"model-00004-of-00030.safetensors",
"model-00005-of-00030.safetensors",
"model-00006-of-00030... | 99cd0d2c829e92a67c844f9144c2509632e5c87f | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-3",
"meta",
"facebook",
"unsloth",
"pytorch",
"conversational",
"en",
"arxiv:2204.05149",
"base_model:meta-llama/Llama-3.3-70B-Instruct",
"base_model:finetune:meta-llama/Llama-3.3-70B-Instruct",
"license:llama3.3",
"text... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "eos_token": "<|eot_id|>", "pad_token": "<|finetune_right_pad_id|>", "unk_token": null, "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- en... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "meta-llama/Llama-3.3-70B-Instruct", "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "llama3.3", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["llama-3", "llama", "meta", "facebook", "... | ## ***See [our collection](https://huggingface.co/collections/unsloth/llama-33-all-versions-67535d7d994794b9d7cf5e9f) for all versions of Llama 3.3 including GGUF, 4-bit and original 16-bit formats.***
# Finetune Llama 3.3, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth!
We have a free Google Colab Tes... | null | [
"llama3.3"
] | null | [
"en"
] | 70,553,706,496 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6753a1ebf49782992e8c0d6e | livekit/turn-detector | livekit | {
"models": [
{
"_id": "66e81c0ecfd2f50991047e92",
"id": "Qwen/Qwen2.5-0.5B-Instruct"
}
],
"relation": "quantized"
} | 359,619 | 840,681 | False | 2024-12-07T01:16:27Z | 2026-02-11T15:04:40Z | transformers | 91 | 1 | null | text-classification | {"parameters": {"F32": 134516160}, "total": 134516160} | [
".gitattributes",
"LICENSE",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"model_quantized.onnx",
"ort_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | fba34c38ad5d30a63ebb83a9e6bf271cf4c91d67 | [
"transformers",
"onnx",
"safetensors",
"llama",
"text-generation",
"voice-ai",
"turn-detection",
"end-of-utterance",
"end-of-turn",
"conversational-ai",
"livekit",
"quantized",
"knowledge-distillation",
"text-classification",
"en",
"es",
"fr",
"de",
"it",
"pt",
"nl",
"zh",
... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|endoftext|>", "chat_template": "{% for message in messages %}{{'<|im_start|>' + '<|' + message['role'] + '|>' + message['content'] + '<|im_end|>'}}{% endfor %}", "eos_token": "<|endoftext|>", "pad_token": "<|endoftext|>"... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "Qwen/Qwen2.5-0.5B-Instruct", "datasets": null, "eval_results": null, "language": ["en", "es", "fr", "de", "it", "pt", "nl", "zh", "ja", "ko", "id", "tr", "ru", "hi"], "library_name": "transformers", "license": "other", "license_name": "livekit-model-license", "license_link": "LICENSE", "metrics": null, ... | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated... | null | [
"other",
"livekit-model-license",
"LICENSE"
] | null | [
"en",
"es",
"fr",
"de",
"it",
"pt",
"nl",
"zh",
"ja",
"ko",
"id",
"tr",
"ru",
"hi"
] | 134,516,160 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation",
"text-classification"
] | [
"text"
] | [
"text"
] | [
"text",
"logits"
] |
675468e90121bd040a2af86f | OpenGVLab/Mini-InternVL2-1B-DA-DriveLM | OpenGVLab | {
"models": [
{
"_id": "668b7911ac054963cd98d8df",
"id": "OpenGVLab/InternVL2-1B"
}
],
"relation": "merge"
} | 45 | 1,633 | False | 2024-12-07T15:25:29Z | 2024-12-09T13:46:19Z | transformers | 2 | 1 | null | image-text-to-text | {"parameters": {"BF16": 938158976}, "total": 938158976} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"configuration_intern_vit.py",
"configuration_internvl_chat.py",
"conversation.py",
"generation_config.json",
"merges.txt",
"model.safetensors",
"modeling_intern_vit.py",
"modeling_internvl_chat.py",
"preprocessor_config.json... | 0c8beae1c931e6325e8e2c5ddec50edbd884268b | [
"transformers",
"safetensors",
"internvl_chat",
"feature-extraction",
"internvl",
"custom_code",
"image-text-to-text",
"conversational",
"multilingual",
"arxiv:2410.16261",
"arxiv:2312.14238",
"arxiv:2404.16821",
"arxiv:2412.05271",
"base_model:OpenGVLab/InternVL2-1B",
"base_model:merge:... | null | {"architectures": ["InternVLChatModel"], "auto_map": {"AutoConfig": "configuration_internvl_chat.InternVLChatConfig", "AutoModel": "modeling_internvl_chat.InternVLChatModel", "AutoModelForCausalLM": "modeling_internvl_chat.InternVLChatModel"}, "model_type": "internvl_chat", "tokenizer_config": {"bos_token": null, "chat... | {
"auto_model": "AutoModel",
"custom_class": "modeling_internvl_chat.InternVLChatModel",
"pipeline_tag": "feature-extraction",
"processor": null
} | {"base_model": ["OpenGVLab/InternVL2-1B"], "datasets": null, "eval_results": null, "language": ["multilingual"], "library_name": "transformers", "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": ["internvl", "custom_code"], "... | # Mini-InternVL2-DA-RS
[\[📂 GitHub\]](https://github.com/OpenGVLab/InternVL) [\[🆕 Blog\]](https://internvl.github.io/blog/) [\[📜 Mini-InternVL\]](https://arxiv.org/abs/2410.16261) [\[📜 InternVL 1.0\]](https://arxiv.org/abs/2312.14238) [\[📜 InternVL 1.5\]](https://arxiv.org/abs/2404.16821) [\[📜 InternVL 2.5\]... | null | [
"mit"
] | null | [
"multilingual"
] | 938,158,976 | null | null | [
"AutoModel",
"internvl_chat",
"InternVLChatModel",
"modeling_internvl_chat.InternVLChatModel"
] | [
"image-text-to-text",
"feature-extraction"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text",
"embeddings"
] |
675469684bbe5f410917d5e0 | OpenGVLab/Mini-InternVL2-4B-DA-DriveLM | OpenGVLab | {
"models": [
{
"_id": "667d38eaa4eb44a5016e24d7",
"id": "OpenGVLab/InternVL2-4B"
}
],
"relation": "merge"
} | 230 | 2,651 | False | 2024-12-07T15:27:36Z | 2024-12-09T13:45:32Z | transformers | 5 | 1 | null | image-text-to-text | {"parameters": {"BF16": 4146855936}, "total": 4146855936} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"configuration_intern_vit.py",
"configuration_internvl_chat.py",
"configuration_phi3.py",
"conversation.py",
"generation_config.json",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.i... | 4012fa80fb884d21d9f4ccb66291849b3e9b6b89 | [
"transformers",
"safetensors",
"internvl_chat",
"feature-extraction",
"internvl",
"custom_code",
"image-text-to-text",
"conversational",
"multilingual",
"arxiv:2410.16261",
"arxiv:2312.14238",
"arxiv:2404.16821",
"arxiv:2412.05271",
"base_model:OpenGVLab/InternVL2-4B",
"base_model:merge:... | null | {"architectures": ["InternVLChatModel"], "auto_map": {"AutoConfig": "configuration_internvl_chat.InternVLChatConfig", "AutoModel": "modeling_internvl_chat.InternVLChatModel", "AutoModelForCausalLM": "modeling_internvl_chat.InternVLChatModel"}, "model_type": "internvl_chat", "tokenizer_config": {"bos_token": "<s>", "cha... | {
"auto_model": "AutoModel",
"custom_class": "modeling_internvl_chat.InternVLChatModel",
"pipeline_tag": "feature-extraction",
"processor": null
} | {"base_model": ["OpenGVLab/InternVL2-4B"], "datasets": null, "eval_results": null, "language": ["multilingual"], "library_name": "transformers", "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": ["internvl", "custom_code"], "... | # Mini-InternVL2-DA-RS
[\[📂 GitHub\]](https://github.com/OpenGVLab/InternVL) [\[🆕 Blog\]](https://internvl.github.io/blog/) [\[📜 Mini-InternVL\]](https://arxiv.org/abs/2410.16261) [\[📜 InternVL 1.0\]](https://arxiv.org/abs/2312.14238) [\[📜 InternVL 1.5\]](https://arxiv.org/abs/2404.16821) [\[📜 InternVL 2.5\]... | null | [
"mit"
] | null | [
"multilingual"
] | 4,146,855,936 | null | null | [
"AutoModel",
"internvl_chat",
"InternVLChatModel",
"modeling_internvl_chat.InternVLChatModel"
] | [
"image-text-to-text",
"feature-extraction"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text",
"embeddings"
] |
675807680ca41f5aaa59e6b3 | typhoon-ai/typhoon2-qwen2vl-7b-vision-instruct | typhoon-ai | {
"models": [
{
"_id": "66cee7d175a88154443a4056",
"id": "Qwen/Qwen2-VL-7B-Instruct"
}
],
"relation": "finetune"
} | 454 | 15,142 | False | 2024-12-10T09:18:32Z | 2025-03-31T10:36:06Z | transformers | 20 | 1 | null | text-generation | {"parameters": {"BF16": 8291375616}, "total": 8291375616} | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.json",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.in... | 04855386c8e492daf756968ac9b2621dcca46afa | [
"transformers",
"safetensors",
"qwen2_vl",
"image-text-to-text",
"text-generation",
"conversational",
"th",
"en",
"arxiv:2412.13702",
"base_model:Qwen/Qwen2-VL-7B-Instruct",
"base_model:finetune:Qwen/Qwen2-VL-7B-Instruct",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | null | {"architectures": ["Qwen2VLForConditionalGeneration"], "model_type": "qwen2_vl", "processor_config": {"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpfu... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": ["Qwen/Qwen2-VL-7B-Instruct"], "datasets": null, "eval_results": null, "language": ["th", "en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": null, "inference": false} | null | null | [
"apache-2.0"
] | null | [
"th",
"en"
] | 8,291,375,616 | null | null | [
"AutoModelForImageTextToText",
"qwen2_vl",
"Qwen2VLForConditionalGeneration"
] | [
"image-text-to-text",
"text-generation"
] | [
"text",
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
675d1866e84072d430e97630 | gghfez/Mistral-Large-2407-LongCoT | gghfez | {
"models": [
{
"_id": "66a0e51a16c91392d42c263d",
"id": "mistralai/Mistral-Large-Instruct-2407"
}
],
"relation": "finetune"
} | 4 | 162 | False | 2024-12-14T05:32:22Z | 2024-12-14T08:14:54Z | transformers | 3 | 1 | null | text-generation | {"parameters": {"BF16": 122610069504}, "total": 122610069504} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00051.safetensors",
"model-00002-of-00051.safetensors",
"model-00003-of-00051.safetensors",
"model-00004-of-00051.safetensors",
"model-00005-of-00051.safetensors",
"model-00006-of-00051.safetensors",
"model-0... | 6f816d7f68e8ff7f8879fb17f2e45f3d62e37763 | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"text-generation-inference",
"unsloth",
"trl",
"conversational",
"en",
"dataset:gghfez/long-cot-4k",
"base_model:mistralai/Mistral-Large-Instruct-2407",
"base_model:finetune:mistralai/Mistral-Large-Instruct-2407",
"license:other",
... | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% if 'role' in messages[0] %}{% for message in messages %}{% if message['role'] == 'user' %}{{'<|im_start|>user\n' + message['content'] + '<|im_end|>\n'}}{% elif message['role'] == 'assistant' ... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["mistralai/Mistral-Large-Instruct-2407"], "datasets": ["gghfez/long-cot-4k"], "eval_results": null, "language": ["en"], "library_name": null, "license": "other", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["text-generation-inference", "... | # gghfez/Mistral-Large-2407-LongCoT
This model is a fine-tuned version of [mistralai/Mistral-Large-Instruct-2407](https://huggingface.co/mistralai/Mistral-Large-Instruct-2407) trained on long-form, chain-of-thought responses generated using the [Qwen/QwQ-32B-Preview](https://huggingface.co/Qwen/QwQ-32B-Preview) model.... | null | [
"other"
] | [
"gghfez/long-cot-4k"
] | [
"en"
] | 122,610,069,504 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
675d1af66205e9e0d9f1a3d8 | tiiuae/Falcon3-1B-Instruct | tiiuae | {
"models": [
{
"_id": "675c21ee74d64986e3649d0c",
"id": "tiiuae/Falcon3-1B-Base"
}
],
"relation": "finetune"
} | 11,504 | 332,272 | False | 2024-12-14T05:43:18Z | 2025-01-10T06:58:42Z | transformers | 46 | 1 | null | text-generation | {"parameters": {"BF16": 1669408768}, "total": 1669408768} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 28ba2251970a01dd1edc7ba7dad2eb71216ccfdf | [
"transformers",
"safetensors",
"llama",
"text-generation",
"falcon3",
"conversational",
"en",
"fr",
"es",
"pt",
"base_model:tiiuae/Falcon3-1B-Base",
"base_model:finetune:tiiuae/Falcon3-1B-Base",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"re... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"chat_template": "{%- if tools %}\n{{- '<|system|>\\n' }}\n{%- if messages[0]['role'] == 'system' %}\n{{- messages[0]['content'] }}\n{%- set remaining_messages = messages[1:] %}\n{%- else %}\n{%- set remaining_messages = messages %}\n{%... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "tiiuae/Falcon3-1B-Base", "datasets": null, "eval_results": null, "language": ["en", "fr", "es", "pt"], "library_name": "transformers", "license": "other", "license_name": "falcon-llm-license", "license_link": "https://falconllm.tii.ae/falcon-terms-and-conditions.html", "metrics": null, "model_name": nul... | <div align="center">
<img src="https://huggingface.co/datasets/tiiuae/documentation-images/resolve/main/general/falco3-logo.png" alt="drawing" width="500"/>
</div>
# Falcon3-1B-Instruct
**Falcon3** family of Open Foundation Models is a set of pretrained and instruct LLMs ranging from 1B to 10B parameters.
This r... | null | [
"other",
"falcon-llm-license",
"https://falconllm.tii.ae/falcon-terms-and-conditions.html"
] | null | [
"en",
"fr",
"es",
"pt"
] | 1,669,408,768 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
675f7dfb72d14a2cffa1002c | Nitral-AI/Captain-Eris_Violet-V0.420-12B | Nitral-AI | {
"models": [
{
"_id": "66e30fa2a007fc9b30e0501a",
"id": "Epiculous/Violet_Twilight-v0.2"
},
{
"_id": "67242ea18fa663371051b323",
"id": "Nitral-AI/Captain_BMO-12B"
}
],
"relation": "merge"
} | 52 | 1,616,554 | False | 2024-12-16T01:10:19Z | 2025-05-11T03:31:34Z | transformers | 68 | 1 | null | text-generation | {"parameters": {"BF16": 12247782400}, "total": 12247782400} | [
".gitattributes",
"README.md",
"ST/ST-formatting-captain-x-2025-05-11.json",
"config.json",
"generation_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-0000... | 9da28dddf4530bb0a195c73a9fe8f844245d68f5 | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"en",
"base_model:Epiculous/Violet_Twilight-v0.2",
"base_model:merge:Epiculous/Violet_Twilight-v0.2",
"base_model:Nitral-AI/Captain_BMO-12B",
"base_model:merge:Nitral-AI/Captain_BMO-12B",
"lic... | 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": ["Epiculous/Violet_Twilight-v0.2", "Nitral-AI/Captain_BMO-12B"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "other", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["mergekit", "mer... | 
# Instruct/Context import + Textgen preset combined available: [Here](https://hu... | null | [
"other"
] | null | [
"en"
] | 12,247,782,400 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6773e2a01a71969c655507c0 | saheedniyi/YarnGPT | saheedniyi | {
"models": [
{
"_id": "6722d29f02e2f9ded982cdaf",
"id": "HuggingFaceTB/SmolLM2-360M"
}
],
"relation": "finetune"
} | 110 | 3,236 | False | 2024-12-31T12:25:04Z | 2025-03-14T14:52:00Z | transformers | 47 | 1 | null | text-to-speech | {"parameters": {"BF16": 365753280}, "total": 365753280} | [
".gitattributes",
"README.md",
"Sample_5.wav",
"added_tokens.json",
"audio/Sample_1.wav",
"audio/Sample_2.wav",
"audio/Sample_3.wav",
"audio/Sample_4.wav",
"audio/Sample_5.wav",
"audio/YearnGPT.mp4",
"audio/logo.webp",
"config.json",
"generation_config.json",
"merges.txt",
"model.safeten... | 81aa986bf9ae9befc0ae493f588fd72084716d2f | [
"transformers",
"safetensors",
"llama",
"text-generation",
"text-to-speech",
"en",
"base_model:HuggingFaceTB/SmolLM2-360M",
"base_model:finetune:HuggingFaceTB/SmolLM2-360M",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | 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"
} | {"base_model": ["HuggingFaceTB/SmolLM2-360M"], "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-to-speech", "tags": null} | # YarnGPT
## Table of Contents
1. [Model Summary](#model-summary)
2. [Model Description](#model-description)
3. [Bias, Risks, and Limitations](#bias-risks-and-limitations)
- [Recommendations](#recommendations)
4. [Speech S... | null | [
"apache-2.0"
] | null | [
"en"
] | 365,753,280 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-to-speech",
"text-generation"
] | [
"text",
"audio"
] | [
"text"
] | [
"text",
"audio"
] |
677dbc03978ed7e72ce69a72 | SakanaAI/TinySwallow-1.5B-Instruct | SakanaAI | {
"models": [
{
"_id": "66e98dd5899bdb384bd953b4",
"id": "Qwen/Qwen2.5-1.5B-Instruct"
}
],
"relation": "finetune"
} | 13,099 | 93,233 | False | 2025-01-07T23:42:59Z | 2025-01-30T12:16:17Z | transformers | 57 | 1 | null | text-generation | {"parameters": {"BF16": 1543714304}, "total": 1543714304} | [
".gitattributes",
"GEMMA_TERMS_OF_USE",
"LICENSE",
"Notice",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 91e9fcc30f56d224aea84356c4d850cc4c5a3260 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"ja",
"dataset:tokyotech-llm/lmsys-chat-1m-synth",
"dataset:tokyotech-llm/swallow-magpie-ultra-v0.1",
"dataset:tokyotech-llm/swallow-swallow-gemma-magpie-v0.1",
"arxiv:2501.16937",
"base_model:Qwen/Qwen2.5-1.5B-Instruct... | 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 {{- '\u3042\u306a\u305f\u306f\u3001... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["Qwen/Qwen2.5-1.5B-Instruct"], "datasets": ["tokyotech-llm/lmsys-chat-1m-synth", "tokyotech-llm/swallow-magpie-ultra-v0.1", "tokyotech-llm/swallow-swallow-gemma-magpie-v0.1"], "eval_results": null, "language": ["ja"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "licens... | # TinySwallow-1.5B-Instruct
🤗 [Models](https://huggingface.co/SakanaAI) | 📚 [Paper](https://arxiv.org/abs/2501.16937) | 📝 [Blog](https://sakana.ai/taid-jp/) | 🐦 [Twitter](https://twitter.com/SakanaAILabs)
**TinySwallow-1.5B-Instruct** is an instruction-tuned version of [TinySwallow-1.5B](https://huggingface.co/S... | null | [
"apache-2.0"
] | [
"tokyotech-llm/lmsys-chat-1m-synth",
"tokyotech-llm/swallow-magpie-ultra-v0.1",
"tokyotech-llm/swallow-swallow-gemma-magpie-v0.1"
] | [
"ja"
] | 1,543,714,304 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
677ed15f2ee4442e3ded0d3c | Venkat-Ram-Rao/unsloth_finetune-QWEN-7b-docvqa | Venkat-Ram-Rao | null | 0 | 0 | False | 2025-01-08T19:26:23Z | 2025-01-08T20:38:11Z | transformers | 1 | 1 | null | null | null | [
".gitattributes",
"README.md",
"adapter_config.json",
"adapter_model.safetensors",
"added_tokens.json",
"chat_template.json",
"merges.txt",
"preprocessor_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | c3337d48d89e1b23a6afaac578d034071dfb32ac | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"qwen2_vl",
"trl",
"en",
"dataset:HuggingFaceM4/DocumentVQA",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"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 helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if mess... | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": null,
"processor": null
} | {"base_model": "unsloth/qwen2-vl-7b-instruct-unsloth-bnb-4bit", "datasets": ["HuggingFaceM4/DocumentVQA"], "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-genera... | null | null | [
"apache-2.0"
] | [
"HuggingFaceM4/DocumentVQA"
] | [
"en"
] | null | null | null | [
"AutoModel"
] | [
null
] | null | null | null |
67829a42afac1eb49949511c | starvector/starvector-1b-im2svg | starvector | null | 70,645 | 146,096 | False | 2025-01-11T16:20:18Z | 2025-03-19T14:58:10Z | transformers | 185 | 1 | null | text-generation | {"parameters": {"F16": 296880132, "F32": 1137215488}, "total": 1434095620} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"merges.txt",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"preprocessor_config.json",
"processing_starvector.py",
"processor_config.json",
"special_tokens_map.json",
... | 380ab95d25a8e9ab1dc825debe238b4953ae13b9 | [
"transformers",
"safetensors",
"starvector",
"text-generation",
"custom_code",
"en",
"arxiv:2312.11556",
"license:apache-2.0",
"region:us"
] | null | {"architectures": ["StarVectorForCausalLM"], "auto_map": {"AutoConfig": "starvector_arch.StarVectorConfig", "AutoModelForCausalLM": "starvector_arch.StarVectorForCausalLM"}, "model_type": "starvector", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "pad_token": "[PAD]", "unk_token": "<... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "starvector_arch.StarVectorForCausalLM",
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | null | null | [
"apache-2.0"
] | null | [
"en"
] | 1,434,095,620 | null | null | [
"StarVectorForCausalLM",
"starvector_arch.StarVectorForCausalLM",
"starvector",
"AutoModelForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6785c55e7ecdfd2fdb2b7a4e | Steelskull/L3.3-MS-Nevoria-70b | Steelskull | {
"models": [
{
"_id": "675fad5506bac4c3fe635ef7",
"id": "EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1"
},
{
"_id": "6754d8a45161b68196574123",
"id": "Sao10K/L3.3-70B-Euryale-v2.3"
},
{
"_id": "6781caa1282a532778758402",
"id": "SicariusSicariiStuff/Negative_LLAMA_70B"
... | 442 | 24,831 | False | 2025-01-14T02:01:02Z | 2025-01-28T02:46:48Z | transformers | 162 | 1 | null | text-generation | {"parameters": {"BF16": 70553706496}, "total": 70553706496} | [
".gitattributes",
"README.md",
"config.json",
"mergekit_config.yml",
"model-00001-of-00030.safetensors",
"model-00002-of-00030.safetensors",
"model-00003-of-00030.safetensors",
"model-00004-of-00030.safetensors",
"model-00005-of-00030.safetensors",
"model-00006-of-00030.safetensors",
"model-0000... | 19610dc97f8200d52f35137c23857d289709c9bb | [
"transformers",
"safetensors",
"llama",
"text-generation",
"merge",
"conversational",
"base_model:EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1",
"base_model:merge:EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1",
"base_model:Sao10K/L3.3-70B-Euryale-v2.3",
"base_model:merge:Sao10K/L3.3-70B-Euryale-v2.3",
"base_model:... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_messag... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["Sao10K/L3.3-70B-Euryale-v2.3", "nbeerbower/Llama-3.1-Nemotron-lorablated-70B", "EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1", "SicariusSicariiStuff/Negative_LLAMA_70B", "TheDrummer/Anubis-70B-v1"], "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "other", "li... | <style>
body {
font-family: 'Quicksand', sans-serif;
background: linear-gradient(135deg, #2A0A2A 0%, #1A0025 100%);
color: #FFE1FF;
margin: 0;
padding: 0;
font-size: 16px;
}
.container {
margin: 20px;
background-color: rgba(11, 15, 26, 0.95);
padding: 20px;
border-radius: 12px;
box-shadow: 0 4px ... | null | [
"other",
"eva-llama3.3"
] | null | null | 70,553,706,496 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67860d214ca966fefbbc7833 | MDDDDR/Llama-3.2-1B-Instruct-FFT-coder-python | MDDDDR | {
"models": [
{
"_id": "66eaedefece5ee215637cc82",
"id": "meta-llama/Llama-3.2-1B-Instruct"
}
],
"relation": "finetune"
} | 5 | 33 | False | 2025-01-14T07:07:13Z | 2025-01-17T16:52:21Z | transformers | 1 | 1 | null | text-generation | {"parameters": {"BF16": 1235814400}, "total": 1235814400} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 115cba5e350edabdac2af61d3a47e92a2918dc79 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"ko",
"dataset:nayohan/CodeFeedback-Filtered-Instruction-ko",
"base_model:meta-llama/Llama-3.2-1B-Instruct",
"base_model:finetune:meta-llama/Llama-3.2-1B-Instruct",
"license:apache-2.0",
"text-generation-inference",
"... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_messag... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["meta-llama/Llama-3.2-1B-Instruct"], "datasets": ["nayohan/CodeFeedback-Filtered-Instruction-ko"], "eval_results": null, "language": ["ko"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-gen... | ### Model Card for Model ID
- base_model : [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct)
### Training dataset
- data_set : [nayohan/CodeFeedback-Filtered-Instruction-ko](https://huggingface.co/datasets/nayohan/CodeFeedback-Filtered-Instruction-ko)
- 해당 데이터셋을 전부 사용한건 아니며 ... | null | [
"apache-2.0"
] | [
"nayohan/CodeFeedback-Filtered-Instruction-ko"
] | [
"ko"
] | 1,235,814,400 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
678933e3f16a4dec46eb3a64 | physical-intelligence/fast | physical-intelligence | null | 0 | 0 | False | 2025-01-16T16:29:23Z | 2025-01-16T16:33:50Z | transformers | 167 | 1 | null | robotics | null | [
".gitattributes",
"README.md",
"processing_action_tokenizer.py",
"processor_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | ec4d7aa71691cac0b8bed6942be45684db2110f4 | [
"transformers",
"robotics",
"tokenizer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"tokenizer_config": {}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": null,
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["robotics", "tokenizer"]} | null | null | [
"apache-2.0"
] | null | null | null | null | null | [
"AutoModel"
] | [
null,
"robotics"
] | null | null | null |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.