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657f3a3b1e3e9c41a4ca3c93 | 83bf28f8b6767a2f | ae88e903e2b563a1 | 50,295 | BPE | 50,000 | false | true | true | true | 39 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 85 | susnato/phi-2 | susnato | null | 539 | 116,849 | False | 2023-12-17T18:13:15Z | 2024-01-21T10:17:25Z | transformers | 12 | 0 | null | text-generation | {"parameters": {"F16": 2779683840}, "total": 2779683840} | [
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... | 002c0f5dfc32cef8cab5f759ad80b0d91150ce66 | [
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"license:mit",
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"endpoints_compatible",
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] | null | {"architectures": ["PhiForCausalLM"], "model_type": "phi", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
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The sole purpose of this repository is to use this model through the `transformers` API or to load and use the model using the Hugg... | null | [
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64443ff03dc2837763315885 | 84892a81d307796d | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 133 | elinas/llama-7b-hf-transformers-4.29 | elinas | null | 28 | 114,561 | False | 2023-04-22T20:13:36Z | 2023-04-22T23:35:32Z | transformers | 57 | 0 | null | text-generation | null | [
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] | d33594ee64ef1b6264543b6a88f60982a55fdb7a | [
"transformers",
"pytorch",
"llama",
"text-generation",
"4.29.0",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<s>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "</s>", "lstrip": false, "normalized": true, "rstrip":... | {
"auto_model": "AutoModelForCausalLM",
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "other", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["4.29.0"]} | # llama-7b-transformers-4.29
Original weights converted with the latest `transformers` version using the `LlamaTokenizerFast` implementation.
--
license: other
---
# LLaMA Model Card
## Model details
**Organization developing the model**
The FAIR team of Meta AI.
**Model date**
LLaMA was trained between December. ... | null | [
"other"
] | null | null | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
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"text"
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66c1d70642d057d3dce8bfe9 | d782580f9ed7b75d | 2044207f09a586ea | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 907 | ghost-x/ghost-8b-beta-1608 | ghost-x | {
"models": [
{
"_id": "669e878f05fd1b7f45ca6960",
"id": "ghost-x/ghost-8b-beta"
}
],
"relation": "finetune"
} | 9,127 | 156,845 | False | 2024-08-18T11:12:06Z | 2024-08-23T11:09:02Z | transformers | 34 | 0 | null | text-generation | {"parameters": {"BF16": 8030261248}, "total": 8030261248} | [
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"model-00006-of-00009.safetensors... | 6d1b3853aab774af5a4db21ff9d5764918fb48f5 | [
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"nl",
"hi",
"tr",
"id",
"en",
"arxiv:2404.04475",
"arxiv:2306.05685",
"arxiv:2110.... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|bos|>", "chat_template": "{{ bos_token }}{% for message in messages %}\n{% set role = message['role'] %}\n{% if role == 'tools' %}\n{% set role = 'tool:schemas' %}\n{% elif role == 'execute' %}\n{% set role = 'tool:execu... | {
"auto_model": "AutoModelForCausalLM",
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} | {"base_model": "ghost-x/ghost-8b-beta", "datasets": null, "eval_results": null, "language": ["vi", "ko", "es", "pt", "zh", "fr", "it", "de", "ja", "ru", "pl", "nl", "hi", "tr", "id", "en"], "library_name": null, "license": "other", "license_name": "ghost-open-llms", "license_link": "https://ghost-x.org/ghost-open-llms-... | <p><img src="https://ghost-x.org/docs/models/ghost-8b-beta/images/logo.jpeg" width="40%" align="center" /></p>
A large language model was developed with goals including excellent multilingual support, superior knowledge capabilities and cost efficiency.
## Introduction
**Ghost 8B Beta (Llama 3 - Ghost 8B Beta)** is ... | null | [
"other",
"ghost-open-llms",
"https://ghost-x.org/ghost-open-llms-license"
] | null | [
"vi",
"ko",
"es",
"pt",
"zh",
"fr",
"it",
"de",
"ja",
"ru",
"pl",
"nl",
"hi",
"tr",
"id",
"en"
] | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
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"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65d6357ed11b67c22d766afa | e2c43495aed6e9fb | e6ffdc5dd5f1fd86 | 256,000 | BPE | 580,604 | true | false | true | true | 217 | Replace | null | Sequence | [
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse"
] | 106 | unsloth/gemma-2b-it | unsloth | null | 1,379 | 128,302 | False | 2024-02-21T17:40:14Z | 2024-09-03T03:43:49Z | transformers | 3 | 0 | null | text-generation | {"parameters": {"BF16": 2506172416}, "total": 2506172416} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | 5ae754dee0b5cbf7f7fb39a7731aefa6b7987c2d | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"unsloth",
"gemma-2b",
"conversational",
"en",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GemmaForCausalLM"], "model_type": "gemma", "tokenizer_config": {"bos_token": "<bos>", "chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 %... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["unsloth", "transformers", "gemma", "gemma-2b"]} | # Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20button.png" width="200"/>](https://discord.gg/u54VK8m8tk)
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/buy%20me%20a%20coffee%... | null | [
"apache-2.0"
] | null | [
"en"
] | 2,506,172,416 | null | null | [
"AutoModelForCausalLM",
"gemma",
"GemmaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65235cf594f3a1a2091ffa81 | 88cd37e502d27a0a | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 88 | maywell/Synatra-V0.1-7B-Instruct | maywell | null | 695 | 117,257 | False | 2023-10-09T01:52:53Z | 2023-11-17T22:54:10Z | transformers | 16 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"kullm_eval.png",
"pytorch_model-00001-of-00002.bin",
"pytorch_model-00002-of-00002.bin",
"pytorch_model.bin.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | 4e9d6719a1f820b4785dd6d9ed9ed9636425bbea | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"ko",
"license:cc-by-nc-4.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": null, "unk_token": "<unk>", "use_default_system_prompt": true}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["ko"], "library_name": "transformers", "license": "cc-by-nc-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": null} | # **V0.3 IS UP**
[Link to V0.3](https://huggingface.co/maywell/Synatra-7B-v0.3-base)
# **Synatra-V0.1-7B**
Made by StableFluffy
[Visit my website! - Currently on consturction..](https://www.stablefluffy.kr/)
## License
This model is strictly [*non-commercial*](https://creativecommons.org/licenses/by-nc/4.0/) (*... | null | [
"cc-by-nc-4.0"
] | null | [
"ko"
] | null | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66804050c238f05e9537493c | e2c43495aed6e9fb | e6ffdc5dd5f1fd86 | 256,000 | BPE | 580,604 | true | false | true | true | 217 | Replace | null | Sequence | [
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse"
] | 106 | UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3 | UCLA-AGI | null | 2,606 | 124,929 | False | 2024-06-29T17:11:44Z | 2024-07-01T23:45:47Z | transformers | 127 | 0 | null | text-generation | {"parameters": {"BF16": 9241705984}, "total": 9241705984} | [
".gitattributes",
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"... | 2261f2a03b2e15de13a18da52590c237ecf5f188 | [
"transformers",
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"arxiv:2405.00675",
"license:gemma",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Gemma2ForCausalLM"], "model_type": "gemma2", "tokenizer_config": {"bos_token": "<bos>", "chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["openbmb/UltraFeedback"], "eval_results": null, "language": ["en"], "library_name": null, "license": "gemma", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": null} | Self-Play Preference Optimization for Language Model Alignment (https://arxiv.org/abs/2405.00675)
# Gemma-2-9B-It-SPPO-Iter3
This model was developed using [Self-Play Preference Optimization](https://arxiv.org/abs/2405.00675) at iteration 3, based on the [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b... | null | [
"gemma"
] | [
"openbmb/UltraFeedback"
] | [
"en"
] | 9,241,705,984 | null | null | [
"AutoModelForCausalLM",
"gemma2",
"Gemma2ForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6598c650b0f43ed69f139231 | 160d831bbad97ece | 3a73b36e2f62ba5a | 40,960 | BPE | 66,500 | true | false | true | true | 4 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 479 | ONS-AI-RESEARCH/ONS-SOLAR-10.7B | ONS-AI-RESEARCH | null | 15 | 113,167 | False | 2024-01-06T03:17:36Z | 2024-02-05T05:28:38Z | transformers | 2 | 0 | null | text-generation | {"parameters": {"F16": 10804924416}, "total": 10804924416} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00005.safetensors",
"model-00002-of-00005.safetensors",
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"model-00004-of-00005.safetensors",
"model-00005-of-00005.safetensors",
"model.safetensors.index.json",
"special_tok... | 7cc81d3dd5ca7083e0cec1582fc5cc204cddd752 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"SOLAR-10.7B",
"ko",
"license:cc-by-nc-4.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<s>", "eos_token": "<|im_end|>", "pad_token": "</s>", "unk_token": "<unk>", "use_default_system_prompt": true}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["ko"], "library_name": null, "license": "cc-by-nc-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["SOLAR-10.7B"]} | # SOLAR-10.7B
### Model Details
- Base Model: [yanolja/KoSOLAR-10.7B-v0.2](https://huggingface.co/yanolja/KoSOLAR-10.7B-v0.2)
### Datasets
- sampling and translate [Open-Orca/SlimOrca](https://huggingface.co/datasets/Open-Orca/SlimOrca)
- sampling and translate [Anthropic/hh-rlhf](https://huggingface.co/datasets/Anth... | null | [
"cc-by-nc-4.0"
] | null | [
"ko"
] | 10,804,924,416 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6454149b72d331dec8a1300f | 58967ba68263f0aa | 2f8d5857ae5fa330 | 50,277 | BPE | 50,009 | true | true | true | true | 25 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 86 | togethercomputer/RedPajama-INCITE-7B-Chat | togethercomputer | null | 1,110 | 117,837 | False | 2023-05-04T20:24:59Z | 2023-06-05T03:22:54Z | transformers | 93 | 0 | null | text-generation | null | [
".gitattributes",
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"special_tokens_map.json",
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] | 47b94a739e2f3164b438501c8684acc5d5acc146 | [
"transformers",
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"text-generation",
"en",
"dataset:togethercomputer/RedPajama-Data-1T",
"dataset:OpenAssistant/oasst1",
"dataset:databricks/databricks-dolly-15k",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPTNeoXForCausalLM"], "model_type": "gpt_neox", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["togethercomputer/RedPajama-Data-1T", "OpenAssistant/oasst1", "databricks/databricks-dolly-15k"], "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": nu... | # RedPajama-INCITE-7B-Chat
RedPajama-INCITE-7B-Chat was developed by Together and leaders from the open-source AI community including Ontocord.ai, ETH DS3Lab, AAI CERC, Université de Montréal, MILA - Québec AI Institute, Stanford Center for Research on Foundation Models (CRFM), Stanford Hazy Research research group an... | null | [
"apache-2.0"
] | [
"togethercomputer/RedPajama-Data-1T",
"OpenAssistant/oasst1",
"databricks/databricks-dolly-15k"
] | [
"en"
] | null | null | null | [
"gpt_neox",
"AutoModelForCausalLM",
"GPTNeoXForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65ccc8a37cc3defab493d721 | 309c3c9b0f83ce73 | d4959f5e45fb7540 | 32,001 | BPE | 61,249 | true | false | true | true | 4 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 908 | amichalski2/tinyllama-email-model-full | amichalski2 | null | 7 | 7 | False | 2024-02-14T14:05:23Z | 2024-02-14T14:50:54Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"F16": 1100081152}, "total": 1100081152} | [
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"model.safetensors",
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"tokenizer.model",
"tokenizer_config.json"
] | 17730ada631e21746d92e27fe4c057ebdbdf2e45 | [
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"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"text-generation-inference",
"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",
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": []} | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated... | null | null | null | null | 1,100,081,152 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
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"text"
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"text"
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"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 15 | mlx-community/Qwen2.5-Math-72B-Instruct-4bit | mlx-community | {
"models": [
{
"_id": "66e81d52c7484abafcb72300",
"id": "Qwen/Qwen2.5-Math-72B-Instruct"
}
],
"relation": "quantized"
} | 67 | 112,883 | False | 2024-09-18T22:04:19Z | 2024-09-18T23:01:36Z | transformers | 1 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"merges.txt",
"model-00001-of-00008.safetensors",
"model-00002-of-00008.safetensors",
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"model-00004-of-00008.safetensors",
"model-00005-of-00008.safetensors",
"model-00006-of-00008.safetensors",... | 55ec0cc0522c4fefbb0e04969c1a739b26b1f89a | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"mlx",
"conversational",
"en",
"base_model:Qwen/Qwen2.5-Math-72B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-Math-72B-Instruct",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"4-bit",
"region:us"... | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "quantization_config": {"bits": 4}, "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 ... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "Qwen/Qwen2.5-Math-72B-Instruct", "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "other", "license_name": "qwen", "license_link": "https://huggingface.co/Qwen/Qwen2.5-Math-72B-Instruct/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeli... | # mlx-community/Qwen2.5-Math-72B-Instruct-4bit
The Model [mlx-community/Qwen2.5-Math-72B-Instruct-4bit](https://huggingface.co/mlx-community/Qwen2.5-Math-72B-Instruct-4bit) was converted to MLX format from [Qwen/Qwen2.5-Math-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Math-72B-Instruct) using mlx-lm version **0.... | null | [
"other",
"qwen",
"https://huggingface.co/Qwen/Qwen2.5-Math-72B-Instruct/blob/main/LICENSE"
] | null | [
"en"
] | null | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
634295baaa45ed8ecf915993 | f7b02c0b9d6f991b | db117e9883c4d0ab | 50,257 | BPE | 50,000 | false | true | true | true | 1 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 29 | Zayn/AICVTG_What_if_a_machine_could_create_captions_automatically | Zayn | null | 0 | 3 | manual | 2022-10-09T09:34:50Z | 2026-03-28T13:29:47Z | null | 9 | 0 | null | null | null | [] | 30bc3b1a89302b94273f995ae5117af000abe707 | [
"doi:10.57967/hf/0658",
"region:us"
] | null | {} | null | null | This is an image captioning model training by Zayn
```python
from transformers import VisionEncoderDecoderModel, ViTFeatureExtractor, AutoTokenizer
model = VisionEncoderDecoderModel.from_pretrained("Zayn/AICVTG_What_if_a_machine_could_create_captions_automatically")
feature_extractor = ViTFeatureExtractor.from_pret... | null | null | null | null | null | null | null | null | null | null | null | null |
67a769bdd34a79b11d1ef31d | 803e3c8528c55bf1 | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 352 | SVECTOR-CORPORATION/Akshara-8B-Llama-Multilingual-V0.1 | SVECTOR-CORPORATION | null | 14 | 143,810 | False | 2025-02-08T14:27:09Z | 2025-06-20T15:11:06Z | transformers | 13 | 0 | null | text-generation | {"parameters": {"BF16": 8030261248}, "total": 8030261248} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
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"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"... | a5acd0cf80deb07f27a76639cfa624a05f7c9230 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"multilingual",
"India",
"Hindi",
"Gujarati",
"English",
"SVECTOR",
"conversational",
"en",
"gu",
"hi",
"mr",
"kn",
"pa",
"te",
"ta",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"reg... | 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": ["en", "gu", "hi", "mr", "kn", "pa", "te", "ta"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["multilingual",... | # 🚀 Introducing Akshara-8B: AI for India 🇮🇳✨
We’re proud to unveil **Akshara-8B**, our cutting-edge **AI fleet** built exclusively for India’s diverse linguistic landscape. Akshara is designed to **seamlessly understand and generate text** in multiple Indian languages, making AI more accessible, powerful, and tailo... | null | [
"apache-2.0"
] | null | [
"en",
"gu",
"hi",
"mr",
"kn",
"pa",
"te",
"ta"
] | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
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"text"
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67e1c5b7a38811898dca46d2 | 848b60b6cd304b65 | ffc911e785abe60e | 151,665 | BPE | 151,387 | true | true | true | true | 22 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 15 | unsloth/Qwen2.5-VL-32B-Instruct | unsloth | {
"models": [
{
"_id": "67dd8463d7019776f5fc5b23",
"id": "Qwen/Qwen2.5-VL-32B-Instruct"
}
],
"relation": "finetune"
} | 120 | 113,722 | False | 2025-03-24T20:51:03Z | 2025-05-12T09:03:12Z | transformers | 1 | 0 | null | image-text-to-text | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.jinja",
"chat_template.json",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00014.safetensors",
"model-00002-of-00014.safetensors",
"model-00003-of-00014.safetensors",
"model-00004-of-00014.safetensors"... | 01a1ad62460682a8e839fb28b300f128142f1e24 | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"multimodal",
"unsloth",
"conversational",
"en",
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"base_model:Qwen/Qwen2.5-VL-32B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-32B-Instruct",
"license:apache-2.0",
"text-generation-... | null | {"architectures": ["Qwen2_5_VLForConditionalGeneration"], "model_type": "qwen2_5_vl", "processor_config": {"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a h... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": ["Qwen/Qwen2.5-VL-32B-Instruct"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": ["multimodal", "unsloth"]} | # Qwen2.5-VL-32B-Instruct
<a href="https://chat.qwenlm.ai/" target="_blank" style="margin: 2px;">
<img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
</a>
## Latest Updates:
In addition to the original formula, w... | null | [
"apache-2.0"
] | null | [
"en"
] | null | null | null | [
"qwen2_5_vl",
"AutoModelForImageTextToText",
"Qwen2_5_VLForConditionalGeneration"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
681163a79c2765c932331a55 | 848b60b6cd304b65 | ffc911e785abe60e | 151,665 | BPE | 151,387 | true | true | true | true | 22 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 15 | XiaomiMiMo/MiMo-7B-Base | XiaomiMiMo | null | 116,314 | 554,955 | False | 2025-04-29T23:41:27Z | 2025-06-05T16:06:42Z | transformers | 129 | 4 | null | text-generation | {"parameters": {"BF16": 7833409536}, "total": 7833409536} | [
".gitattributes",
"README.md",
"config.json",
"configuration_mimo.py",
"generation_config.json",
"merges.txt",
"model-00001-of-00004.safetensors",
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"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"modeli... | c72df4586cb8bdeebd65f36929cd3385a6566fbe | [
"transformers",
"safetensors",
"mimo",
"text-generation",
"conversational",
"custom_code",
"arxiv:2505.07608",
"license:mit",
"region:us"
] | null | {"architectures": ["MiMoForCausalLM"], "auto_map": {"AutoConfig": "configuration_mimo.MiMoConfig", "AutoModel": "modeling_mimo.MiMoModel", "AutoModelForCausalLM": "modeling_mimo.MiMoForCausalLM"}, "model_type": "mimo", "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>syste... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "modeling_mimo.MiMoForCausalLM",
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | <div align="center">
<picture>
<source srcset="https://github.com/XiaomiMiMo/MiMo/raw/main/figures/Xiaomi_MiMo_darkmode.png?raw=true" media="(prefers-color-scheme: dark)">
<img src="https://github.com/XiaomiMiMo/MiMo/raw/main/figures/Xiaomi_MiMo.png?raw=true" width="60%" alt="Xiaomi-MiMo" />
</picture>
</di... | null | [
"mit"
] | null | null | 7,833,409,536 | null | null | [
"AutoModelForCausalLM",
"modeling_mimo.MiMoForCausalLM",
"mimo",
"MiMoForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6357abf44db6ce2c6847f2fe | 5baa1128c15163d2 | fc52288320f224b5 | 32,772 | BPE | 43,458 | true | true | true | true | 7 | Sequence | Metaspace | Metaspace | [
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 720 | studio-ousia/luke-japanese-base-lite | studio-ousia | null | 70 | 113,888 | False | 2022-10-25T09:27:16Z | 2022-11-09T06:22:22Z | transformers | 9 | 0 | null | fill-mask | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"entity_vocab.json",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | cb61602007c137bcad486bdd1771ece68e74d231 | [
"transformers",
"pytorch",
"luke",
"fill-mask",
"named entity recognition",
"entity typing",
"relation classification",
"question answering",
"ja",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LukeForMaskedLM"], "model_type": "luke", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "... | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": "ja", "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["luke", "named entity recognition", "entity typing", "relation classification", "q... | ## luke-japanese
**luke-japanese** is the Japanese version of **LUKE** (**L**anguage
**U**nderstanding with **K**nowledge-based **E**mbeddings), a pre-trained
_knowledge-enhanced_ contextualized representation of words and entities. LUKE
treats words and entities in a given text as independent tokens, and outputs
cont... | null | [
"apache-2.0"
] | null | [
"ja"
] | null | null | null | [
"LukeForMaskedLM",
"AutoModelForMaskedLM",
"luke"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
65d19a8a053a863f53851884 | 459a86e4f0ffca4e | cf20aa8540d51b3c | 50,364 | BPE | 49,999 | false | true | true | true | 107 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 734 | vinai/PhoWhisper-medium | vinai | null | 4,910 | 131,490 | False | 2024-02-18T05:50:02Z | 2024-11-12T07:47:44Z | transformers | 15 | 0 | null | automatic-speech-recognition | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"merges.txt",
"normalizer.json",
"preprocessor_config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 55a7e3eb6c906de891f8f06a107754427dd3be79 | [
"transformers",
"pytorch",
"whisper",
"automatic-speech-recognition",
"vi",
"license:bsd-3-clause",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["WhisperForConditionalGeneration"], "model_type": "whisper", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<|endoftext|>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "<|endoftext|>", "lstrip": ... | {
"auto_model": "AutoModelForSpeechSeq2Seq",
"custom_class": null,
"pipeline_tag": "automatic-speech-recognition",
"processor": "AutoProcessor"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["vi"], "library_name": null, "license": "bsd-3-clause", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # PhoWhisper: Automatic Speech Recognition for Vietnamese
We introduce **PhoWhisper** in five versions for Vietnamese automatic speech recognition. PhoWhisper's robustness is achieved through fine-tuning the multilingual [Whisper](https://github.com/openai/whisper) on an 844-hour dataset that encompasses diverse... | null | [
"bsd-3-clause"
] | null | [
"vi"
] | null | null | null | [
"WhisperForConditionalGeneration",
"whisper",
"AutoModelForSpeechSeq2Seq"
] | [
"automatic-speech-recognition"
] | [
"multimodal"
] | [
"audio"
] | [
"text"
] |
658d979bb2d7e051c5ebd811 | 7419bc14a54f7dfc | 446a07780f0abc4c | 1,025 | BPE | 1,423 | true | true | false | true | 2 | Sequence | Metaspace | Metaspace | [
"Precompiled",
"Strip",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 477 | nvidia/parakeet-ctc-0.6b | nvidia | null | 10,474 | 149,105 | False | 2023-12-28T15:43:23Z | 2025-09-25T16:13:20Z | nemo | 26 | 0 | [{"name": "parakeet-ctc-0.6b", "results": [{"task": {"name": "Automatic Speech Recognition", "type": "automatic-speech-recognition"}, "dataset": {"name": "AMI (Meetings test)", "type": "edinburghcstr/ami", "config": "ihm", "split": "test", "args": {"language": "en"}}, "metrics": [{"name": "Test WER", "type": "wer", "va... | automatic-speech-recognition | null | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"parakeet-ctc-0.6b.nemo",
"preprocessor_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | ad09ba1cc62743fbc9814de5d2016fca9096485a | [
"nemo",
"safetensors",
"parakeet_ctc",
"automatic-speech-recognition",
"transformers",
"speech",
"audio",
"FastConformer",
"Conformer",
"pytorch",
"NeMo",
"hf-asr-leaderboard",
"ctc",
"en",
"dataset:librispeech_asr",
"dataset:fisher_corpus",
"dataset:Switchboard-1",
"dataset:WSJ-0"... | null | {"architectures": ["ParakeetForCTC"], "model_type": "parakeet_ctc", "tokenizer_config": {"pad_token": "<pad>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForCTC",
"custom_class": null,
"pipeline_tag": "automatic-speech-recognition",
"processor": null
} | {"datasets": ["librispeech_asr", "fisher_corpus", "Switchboard-1", "WSJ-0", "WSJ-1", "National-Singapore-Corpus-Part-1", "National-Singapore-Corpus-Part-6", "vctk", "voxpopuli", "europarl", "multilingual_librispeech", "mozilla-foundation/common_voice_8_0", "MLCommons/peoples_speech"], "language": ["en"], "library_name"... | # Parakeet CTC 0.6B (en)
<style>
img {
display: inline;
}
</style>
[](#model-architecture)
| [](#model-architecture)
| [![Language](https... | null | [
"cc-by-4.0"
] | [
"librispeech_asr",
"fisher_corpus",
"Switchboard-1",
"WSJ-0",
"WSJ-1",
"National-Singapore-Corpus-Part-1",
"National-Singapore-Corpus-Part-6",
"vctk",
"voxpopuli",
"europarl",
"multilingual_librispeech",
"mozilla-foundation/common_voice_8_0",
"MLCommons/peoples_speech"
] | [
"en"
] | null | null | [
"wer"
] | [
"parakeet_ctc",
"ParakeetForCTC",
"AutoModelForCTC"
] | [
"automatic-speech-recognition"
] | [
"multimodal"
] | [
"audio"
] | [
"text"
] |
65d0fa10f8ab7fc66926b470 | 09574be15ef6a4ca | 081b543d8f95004e | 32,002 | BPE | 58,980 | true | false | true | true | 5 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 625 | vicgalle/ConfigurableHermes-7B | vicgalle | null | 8,478 | 153,123 | False | 2024-02-17T18:25:20Z | 2024-07-25T15:21:52Z | transformers | 3 | 0 | [{"name": "ConfigurableHermes-7B", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config": "ARC-Challenge", "split": "test", "args": {"num_few_shot": 25}}, "metrics": [{"type": "acc_norm", "value": 66.04, "name": ... | text-generation | {"parameters": {"F16": 7241748480}, "total": 7241748480} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"model-00001-of-00003.safetensors",
"model-00002-of-00003.safetensors",
"model-00003-of-00003.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model... | d0b074053e60dcd9fd03938c3c8d8ebb0e621be5 | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"dataset:vicgalle/configurable-system-prompt-multitask",
"arxiv:2404.00495",
"license:apache-2.0",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% end... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"datasets": ["vicgalle/configurable-system-prompt-multitask"], "library_name": "transformers", "license": "apache-2.0", "model-index": [{"name": "ConfigurableHermes-7B", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_ar... | # ConfigurableHermes-7B
A configurable LLM fine-tuned using the approach *configurable safety tuning* (CST) from https://arxiv.org/abs/2404.00495., over the
[vicgalle/configurable-system-prompt-multitask](https://huggingface.co/datasets/vicgalle/configurable-system-prompt-multitask) dataset.
As such, you can use the... | null | [
"apache-2.0"
] | [
"vicgalle/configurable-system-prompt-multitask"
] | null | 7,241,748,480 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
656e8ccd2cd7a3e348fdd11d | 9e334cc0fd1e4cec | 1a7fc436c6cafc1d | 64,002 | BPE | 110,029 | true | false | true | true | 5 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 909 | migtissera/Tess-34B-v1.4 | migtissera | null | 3,666 | 133,219 | False | 2023-12-05T02:37:01Z | 2023-12-05T02:48:13Z | transformers | 15 | 0 | null | text-generation | {"parameters": {"F16": 34388945920}, "total": 34388945920} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"model-00001-of-00015.safetensors",
"model-00002-of-00015.safetensors",
"model-00003-of-00015.safetensors",
"model-00004-of-00015.safetensors",
"model-00005-of-00015.safetensors",
"model-00006-of-00015.s... | 173d834656c3965cbaa49be6aab0772c3ce57821 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": "<unk>", "unk_token": "<unk>", "use_default_system_prompt": false}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "other", "license_name": "yi-34b", "license_link": "https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # Tess
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-M-v1.4 was trained on the Yi-34B-200K base.
# Prompt Format:
```
SYSTEM: <ANY SYSTEM CONTEXT>
USER:
ASSISTANT:
``` | null | [
"other",
"yi-34b",
"https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE"
] | null | null | 34,388,945,920 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
62dfacb6adbf859e06cea1e0 | 069271a785587f26 | 444cbd7556b7f193 | 57,525 | Unigram | null | true | true | true | true | 8 | Sequence | Metaspace | Metaspace | [
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 203 | nielsr/donut-base | nielsr | null | 283 | 135,260 | False | 2022-07-26T08:58:30Z | 2022-08-11T10:16:37Z | transformers | 3 | 0 | null | image-text-to-text | null | [
".gitattributes",
"added_tokens.json",
"config.json",
"preprocessor_config.json",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 6b3e8ef8087609eff23423ea1b5d7c3ae8b90402 | [
"transformers",
"pytorch",
"vision-encoder-decoder",
"image-text-to-text",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["VisionEncoderDecoderModel"], "model_type": "vision-encoder-decoder", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": {"__type": "AddedToken", "content": "<mask>", "lstrip": true, "normalized": true, "rstrip": false, "single_word": false}, "pad_token": ... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"AutoModelForImageTextToText",
"vision-encoder-decoder",
"VisionEncoderDecoderModel"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
6623dd08251ee52d5202a487 | 39b1e434a495263c | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 349 | vicgalle/Configurable-Llama-3-8B-v0.3 | vicgalle | null | 8,393 | 152,792 | False | 2024-04-20T15:19:36Z | 2024-04-23T07:26:41Z | transformers | 15 | 0 | null | text-generation | {"parameters": {"F16": 8030261248}, "total": 8030261248} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
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"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"... | 73b9c1bfc75301d5bcd84d85be0d995aaeec8fe2 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"safety",
"conversational",
"dataset:vicgalle/configurable-system-prompt-multitask",
"arxiv:2404.00495",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|e... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["vicgalle/configurable-system-prompt-multitask"], "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": ["safety"]} | # Configurable-LLama-3-8B
A configurable Llama-3 fine-tuned using the approach *configurable safety tuning* (CST) from https://arxiv.org/abs/2404.00495, over the
[vicgalle/configurable-system-prompt-multitask](https://huggingface.co/datasets/vicgalle/configurable-system-prompt-multitask) dataset.
As such, you can us... | null | [
"apache-2.0"
] | [
"vicgalle/configurable-system-prompt-multitask"
] | null | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6514bbdc341103249d6ec963 | 53ecf467267e2824 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 0 | RedHatAI/bge-small-en-v1.5-quant | RedHatAI | null | 126 | 117,349 | False | 2023-09-27T23:33:48Z | 2023-11-13T17:04:15Z | transformers | 9 | 0 | [{"name": "bge-small-en-v1.5-quant", "results": [{"task": {"type": "Classification"}, "dataset": {"type": "mteb/amazon_counterfactual", "name": "MTEB AmazonCounterfactualClassification (en)", "config": "en", "split": "test", "revision": "e8379541af4e31359cca9fbcf4b00f2671dba205"}, "metrics": [{"type": "accuracy", "valu... | feature-extraction | null | [
".gitattributes",
"README.md",
"config.json",
"latency.png",
"model.onnx",
"tokenizer.json"
] | d233e375b3cf063f29e1f504255b68ca19f466c2 | [
"transformers",
"onnx",
"bert",
"feature-extraction",
"mteb",
"sparse",
"sparsity",
"quantized",
"embeddings",
"int8",
"deepsparse",
"en",
"license:mit",
"model-index",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertModel"], "model_type": "bert"} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"language": ["en"], "license": "mit", "tags": ["mteb", "sparse", "sparsity", "quantized", "onnx", "embeddings", "int8", "deepsparse"], "model-index": [{"name": "bge-small-en-v1.5-quant", "results": [{"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonCounterfactualClassification (en)", "type": "mteb/a... | null | null | [
"mit"
] | null | [
"en"
] | null | null | null | [
"BertModel",
"AutoModel",
"bert"
] | [
"feature-extraction"
] | [
"multimodal"
] | [
"text"
] | [
"embeddings"
] |
621ffdc136468d709f1806e6 | 53ecf467267e2824 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 0 | soheeyang/rdr-question_encoder-single-nq-base | soheeyang | null | 2 | 111,799 | False | 2022-03-02T23:29:05Z | 2021-04-15T15:58:07Z | transformers | 1 | 0 | null | feature-extraction | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 469a71430f852d4b9422374178eade037dcdfdb7 | [
"transformers",
"pytorch",
"tf",
"dpr",
"feature-extraction",
"arxiv:2010.10999",
"arxiv:2004.04906",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DPRQuestionEncoder"], "model_type": "dpr", "tokenizer_config": {}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | null | ---|------------------|-------|-------|-------|-------|-------|
| **NQ Dev** | **DPR** | 44.2 | - | 76.9 | 81.3 | 84.2 |
| | **RDR (This Model)** | **54.43** | **72.17** | **81.33** | **84.8** | **86.61** |
| **NQ Test** | **DPR** | 45.87 | 68.14 | 79.97 | - | 85.87 |
| | **DPR-a... | null | null | null | null | null | null | null | [
"AutoModel",
"dpr",
"DPRQuestionEncoder"
] | [
"feature-extraction"
] | [
"multimodal"
] | [
"text"
] | [
"embeddings"
] |
64c550098f31d1e6c691191f | eeb5aa8928fd52d1 | e944fc51b97980f4 | 65,037 | Unigram | null | true | true | true | true | 1,036 | Sequence | Metaspace | Metaspace | [
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 910 | ydshieh/kosmos-2-patch14-224 | ydshieh | null | 17 | 111,995 | False | 2023-07-29T17:44:41Z | 2023-11-02T16:42:01Z | transformers | 54 | 0 | null | image-text-to-text | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"annotated_snowman.jpg",
"config.json",
"configuration_kosmos2.py",
"draw_bboxes.py",
"generation_config.json",
"image_processing_kosmos2.py",
"modeling_kosmos2.py",
"pikachu.png",
"pikachu.webp",
"pikachu_bbox.png",
"preprocessor_config.... | 7d95f731b3608b3e7bb1e5e0bfec191971900da7 | [
"transformers",
"pytorch",
"kosmos-2",
"image-text-to-text",
"custom_code",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["Kosmos2ForConditionalGeneration"], "model_type": "kosmos-2", "auto_map": {"AutoConfig": "configuration_kosmos2.Kosmos2Config", "AutoModel": "modeling_kosmos2.Kosmos2Model", "AutoModelForVision2Seq": "modeling_kosmos2.Kosmos2ForConditionalGeneration", "AutoProcessor": "processing_kosmos2.Kosmos2Proce... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | null | # Kosmos-2: Grounding Multimodal Large Language Models to the World
**This model (remote code on the Hub) is deprecated. Please use https://huggingface.co/microsoft/kosmos-2-patch14-224**
**There are some changes in terms of input formats: see the model card in https://huggingface.co/microsoft/kosmos-2-patch14-224**
... | null | null | null | null | null | null | null | [
"kosmos-2",
"AutoModelForImageTextToText",
"Kosmos2ForConditionalGeneration"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
666b68dd925d891550df55ca | 60d847a0946e97f2 | ddde944c7b357600 | 32,011 | BPE | 61,249 | true | false | true | true | 14 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 175 | apry/best_2b | apry | null | 4 | 17 | False | 2024-06-13T21:47:09Z | 2024-06-14T12:30:44Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"I32": 3623878656, "F16": 197200896}, "total": 3821079552} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"configuration_phi3.py",
"generation_config.json",
"model.safetensors",
"modeling_phi3.py",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | 7832341e6e694d5e79baf888512976a71460568c | [
"transformers",
"safetensors",
"phi3",
"text-generation",
"conversational",
"custom_code",
"arxiv:1910.09700",
"text-generation-inference",
"endpoints_compatible",
"2-bit",
"gptq",
"region:us"
] | null | {"architectures": ["Phi3ForCausalLM"], "auto_map": {"AutoConfig": "configuration_phi3.Phi3Config", "AutoModelForCausalLM": "modeling_phi3.Phi3ForCausalLM"}, "model_type": "phi3", "quantization_config": {"bits": 2, "quant_method": "gptq"}, "tokenizer_config": {"bos_token": "<s>", "chat_template": "{{ bos_token }}{% for ... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": []} | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated... | null | null | null | null | 3,821,079,552 | null | null | [
"AutoModelForCausalLM",
"phi3",
"Phi3ForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
665f909f5c16c0112f165d17 | e23b6bdbe047bb7e | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
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] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 46 | nm-testing/llama7b-one-shot-2_4-w4a16-marlin24-t | nm-testing | null | 551 | 118,990 | False | 2024-06-04T22:09:35Z | 2024-10-09T19:59:05Z | transformers | 1 | 0 | null | text-generation | {"parameters": {"I32": 404750336, "BF16": 50593792, "F16": 262410240, "I16": 404750336}, "total": 1122504704} | [
".gitattributes",
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"generation_config.json",
"model.safetensors",
"recipe.yaml",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 0fd7c9c3c9a2cd4408c2e1a5754106eaef3e9424 | [
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"llama",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"compressed-tensors",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"quant_method": "compressed-tensors"}, "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": "</s>", "unk_token": "<unk>", "use_default_system_prompt": true}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | 1,122,504,704 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66869a4913857980227deba9 | 9f3526300b59a0fd | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse"
] | 911 | h2oai/h2o-danube3-500m-chat | h2oai | null | 33,623 | 213,118 | False | 2024-07-04T12:49:13Z | 2024-07-18T14:03:24Z | transformers | 40 | 0 | null | text-generation | {"parameters": {"BF16": 513590784}, "total": 513590784} | [
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"onnx/model_q4f16.onnx",
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"en",
"arxiv:2407.09276",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
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] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% if ((message['role'] == 'user') != (loop.index0 % 2 == 0)) or ((messa... | {
"auto_model": "AutoModelForCausalLM",
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<img src="https://cdn-uploads.huggingface.co/production/uploads/636d18755aaed143cd6698ef/LAzQu_f5WOX7vqKl4yDsY.png"
alt="Slightly cropped image"
style="width: 102%; height: 102%; object-fit: cov... | null | [
"apache-2.0"
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"en"
] | 513,590,784 | null | null | [
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"text-generation"
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"text"
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"text"
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65d0d079e94cf37670b43a66 | 88cd37e502d27a0a | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 88 | vicgalle/ConfigurableBeagle-11B | vicgalle | null | 8,393 | 152,244 | False | 2024-02-17T15:27:53Z | 2024-07-25T15:20:44Z | transformers | 3 | 0 | [{"name": "ConfigurableBeagle-11B", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config": "ARC-Challenge", "split": "test", "args": {"num_few_shot": 25}}, "metrics": [{"type": "acc_norm", "value": 72.53, "name":... | text-generation | {"parameters": {"F16": 10731524096}, "total": 10731524096} | [
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"transformers",
"safetensors",
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"arxiv:2404.00495",
"license:apache-2.0",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}{% if message['content']%}{{'### System:\n' + message['content']+'\n\n'}}{% endif %}{% elif message['role'] == 'user' %}{{'### Us... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"datasets": ["vicgalle/configurable-system-prompt-multitask"], "library_name": "transformers", "license": "apache-2.0", "model-index": [{"name": "ConfigurableBeagle-11B", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_a... | # ConfigurableBeagle-11B
A configurable LLM fine-tuned using the approach *configurable safety tuning* (CST) from https://arxiv.org/abs/2404.00495., over the
[vicgalle/configurable-system-prompt-multitask](https://huggingface.co/datasets/vicgalle/configurable-system-prompt-multitask) dataset.
As such, you can use th... | null | [
"apache-2.0"
] | [
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] | null | 10,731,524,096 | null | null | [
"AutoModelForCausalLM",
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"text-generation"
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"text"
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"apache-2.0"
] | null | null | 7,241,748,480 | null | null | [
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] | [
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65e82287a73ffb80b496aec4 | 88cd37e502d27a0a | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
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] | 88 | SakanaAI/EvoLLM-JP-v1-7B | SakanaAI | null | 60 | 111,448 | False | 2024-03-06T08:00:07Z | 2024-03-21T00:43:58Z | transformers | 34 | 0 | null | text-generation | {"parameters": {"BF16": 7241732096}, "total": 7241732096} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00003.safetensors",
"model-00002-of-00003.safetensors",
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"tokenizer.json",
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"toke... | a7acd2604d3e9f0fca2987d2448ff5dc19778c21 | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"ja",
"arxiv:2403.13187",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": null, "unk_token": "<unk>", "use_default_system_prompt": false}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["ja"], "library_name": "transformers", "license": "other", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # 🐟 EvoLLM-JP-v1-7B
🤗 [Models](https://huggingface.co/SakanaAI) | 📚 [Paper](https://arxiv.org/abs/2403.13187) | 📝 [Blog](https://sakana.ai/evolutionary-model-merge/) | 🐦 [Twitter](https://twitter.com/SakanaAILabs)
<!-- Provide a quick summary of what the model is/does. -->
**EvoLLM-JP-v1-7B** is an experimenta... | null | [
"other"
] | null | [
"ja"
] | 7,241,732,096 | null | null | [
"AutoModelForCausalLM",
"mistral",
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"text"
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65fcb103be8494c6be26c285 | 0aea00f578e27edb | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 904 | mlabonne/Beyonder-4x7B-v3 | mlabonne | {
"models": [
{
"_id": "65a20b3ae82b0b849091c485",
"id": "SanjiWatsuki/Kunoichi-DPO-v2-7B"
},
{
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{
"_id": "65ccd54c1d6b1a8361b2b2c4",
"id": "mlabonne/AlphaMonarch-7B"
},
{
... | 7,914 | 149,178 | False | 2024-03-21T22:13:23Z | 2024-03-28T21:05:48Z | transformers | 60 | 0 | null | text-generation | {"parameters": {"F16": 24153690112}, "total": 24153690112} | [
".gitattributes",
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"base_model:beowolx/CodeNinja-1.0-OpenChat-7B",
"base_m... | null | {"architectures": ["MixtralForCausalLM"], "model_type": "mixtral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% for message in messages %}{{bos_token + message['role'] + '\n' + message['content'] + eos_token + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ bos_token + 'assistant\n' }}{% endif %}", ... | {
"auto_model": "AutoModelForCausalLM",
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"pipeline_tag": "text-generation",
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} | {"base_model": ["mlabonne/AlphaMonarch-7B", "beowolx/CodeNinja-1.0-OpenChat-7B", "SanjiWatsuki/Kunoichi-DPO-v2-7B", "mlabonne/NeuralDaredevil-7B"], "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "cc-by-nc-4.0", "license_name": null, "license_link": null, "metrics": null, "mod... | 
# 🔮 Beyonder-4x7B-v3
Beyonder-4x7B-v3 is an improvement over the popular [Beyonder-4x7B-v2](https://huggingface.co/mlabonne/Beyonder-4x7B-v2). It's a Mixture of Experts (MoE) made with the followi... | null | [
"cc-by-nc-4.0"
] | null | null | 24,153,690,112 | null | null | [
"mixtral",
"MixtralForCausalLM",
"AutoModelForCausalLM"
] | [
"text-generation"
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] | [
"text"
] | [
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645493f4ecdd69b813544613 | 58967ba68263f0aa | 2f8d5857ae5fa330 | 50,277 | BPE | 50,009 | true | true | true | true | 25 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 86 | togethercomputer/RedPajama-INCITE-7B-Instruct | togethercomputer | null | 1,702 | 117,572 | False | 2023-05-05T05:28:20Z | 2023-08-09T18:01:27Z | transformers | 108 | 0 | null | text-generation | null | [
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] | 7f36397b9985a3f981cdb618f8fec1c565ca5927 | [
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] | null | {"architectures": ["GPTNeoXForCausalLM"], "model_type": "gpt_neox", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
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"pipeline_tag": "text-generation",
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} | {"base_model": null, "datasets": ["togethercomputer/RedPajama-Data-1T", "togethercomputer/RedPajama-Data-Instruct"], "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": nul... | # RedPajama-INCITE-7B-Instruct
RedPajama-INCITE-7B-Instruct was developed by Together and leaders from the open-source AI community including Ontocord.ai, ETH DS3Lab, AAI CERC, Université de Montréal, MILA - Québec AI Institute, Stanford Center for Research on Foundation Models (CRFM), Stanford Hazy Research research ... | null | [
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] | null | null | null | [
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63282ffc533fd617fa416638 | 337fa60bc59000b3 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 496 | bdotloh/just-another-emotion-classifier | bdotloh | null | 12 | 110,968 | False | 2022-09-19T09:01:48Z | 2022-10-27T10:56:34Z | transformers | 4 | 0 | null | text-classification | null | [
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] | 53eb9450209517e9deb8208db90dab1e1243f853 | [
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"dataset:bdotloh/empathetic-dialogues-contexts",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertForSequenceClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
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"pipeline_tag": "text-classification",
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} | {"base_model": null, "datasets": ["go-emotions", "bdotloh/empathetic-dialogues-contexts"], "eval_results": null, "language": "en", "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["emotion-classification"]} | # Model Description
Yet another Transformer model fine-tuned for approximating another non-linear mapping between X and Y? That's right!
This is your good ol' emotion classifier - given an input text, the model outputs a probability distribution over a set of pre-selected emotion words. In this case, it is 32, which is... | null | null | [
"go-emotions",
"bdotloh/empathetic-dialogues-contexts"
] | [
"en"
] | null | null | null | [
"BertForSequenceClassification",
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"logits"
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67b070111c879c0cbb7680ce | 1e0a2493163c0c63 | 6622292dca275a2d | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
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"ByteLevel"
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"models": [
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],
"relation": "quantized"
} | 12,227 | 157,816 | False | 2025-02-15T10:44:33Z | 2025-02-15T23:02:52Z | transformers | 5 | 0 | null | text-generation | {"parameters": {"F32": 475344, "BF16": 1227100160, "U8": 7015836218}, "total": 8243411722} | [
".gitattributes",
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"special_tokens_map.json",
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] | 0a43e2563fa80ebc5eb093baa843c9cb65ab50d5 | [
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... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"load_in_4bit": true, "load_in_8bit": false, "quant_method": "bitsandbytes"}, "tokenizer_config": {"bos_token": "<|begin_of_text|>", "eos_token": "<|end_of_text|>", "pad_token": "<|finetune_right_pad_id|>", "unk_token": null}} | {
"auto_model": "AutoModelForCausalLM",
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"pipeline_tag": "text-generation",
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} | {"base_model": "meta-llama/Llama-3.1-8B", "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", "unsloth", ... | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See <a href="https://huggingface.co/collections/unsloth/llama-31-collection-6753dca76f47d9ce1696495f">our collection</a> for versions of Llama 3.1 including 4-bit + 16b-bit formats.</strong>
</p>
<div style="display: flex; gap: 5px; align-items: cente... | null | [
"llama3.1"
] | null | [
"en"
] | 8,243,411,722 | null | null | [
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] | [
"text-generation"
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"text"
] | [
"text"
] |
6579b47727dc66cbed1353c5 | ef91698d3233c1b0 | 191ce413fbe1c3a6 | 48,064 | BPE | 77,570 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 912 | sarvamai/OpenHathi-7B-Hi-v0.1-Base | sarvamai | null | 1,967 | 120,142 | False | 2023-12-13T13:41:11Z | 2023-12-22T20:37:42Z | transformers | 117 | 0 | null | text-generation | {"parameters": {"BF16": 6870011904}, "total": 6870011904} | [
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"endpoints_compatible",
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] | {"total": 6870011904, "architecture": "llama", "context_length": 4096, "bos_token": "<s>", "eos_token": "</s>"} | {"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"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["hi"], "library_name": null, "license": "llama2", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | This repository is the first model in the OpenHathi series of models that will be released by Sarvam AI. This is a 7B parameter, based on Llama2, trained on Hindi, English, and Hinglish. More details about the model, its training procedure, and evaluations can be found [here](https://www.sarvam.ai/blog/announcing-openh... | null | [
"llama2"
] | null | [
"hi"
] | 6,870,011,904 | 6,870,011,904 | null | [
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] | [
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] |
64c6ba1a538d4f17b53a377a | f0ffe17d3b1f16e5 | 664d254b6eeb0893 | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 913 | s-nlp/deberta-large-formality-ranker | s-nlp | {
"models": [
{
"_id": "621ffdc136468d709f17dee5",
"id": "microsoft/deberta-v3-large"
}
],
"relation": "finetune"
} | 674 | 114,299 | False | 2023-07-30T19:29:30Z | 2024-10-14T09:55:55Z | transformers | 2 | 0 | null | text-classification | {"parameters": {"I64": 512, "F32": 406214658}, "total": 406215170} | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"model.safetensors",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | 0b68cd1315eaae2c0ff4580adc1d74af2a683024 | [
"transformers",
"pytorch",
"safetensors",
"deberta",
"text-classification",
"formality",
"en",
"arxiv:1803.06535",
"base_model:microsoft/deberta-v3-large",
"base_model:finetune:microsoft/deberta-v3-large",
"license:openrail++",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DebertaForSequenceClassification"], "model_type": "deberta", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "[CLS]", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "cls_token": {"__type": "AddedToken", "content": "[CLS]", "lstrip": false, "normali... | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": ["microsoft/deberta-v3-large"], "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "openrail++", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["formality"], "licenses": ["cc-by-nc-sa"]} | **Model Overview**
This is the model presented in the paper "Detecting Text Formality: A Study of Text Classification Approaches".
The original model is [DeBERTa (large)](https://huggingface.co/microsoft/deberta-v3-large). Then, it was fine-tuned on the English corpus for fomality classiication [GYAFC](https://arxiv... | null | [
"openrail++",
"cc-by-nc-sa"
] | null | [
"en"
] | 406,215,170 | null | null | [
"DebertaForSequenceClassification",
"AutoModelForSequenceClassification",
"deberta"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
642399cf43c77fef90f405a4 | 6ad670d2742d0236 | 5f06a539f7067498 | 50,400 | BPE | 50,000 | false | true | true | true | 144 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 112 | TehVenom/Dolly_Shygmalion-6b | TehVenom | null | 892 | 115,223 | False | 2023-03-29T01:52:15Z | 2023-05-04T17:14:13Z | transformers | 14 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"merges.txt",
"pytorch_model-00001-of-00006.bin",
"pytorch_model-00002-of-00006.bin",
"pytorch_model-00003-of-00006.bin",
"pytorch_model-00004-of-00006.bin",
"pytorch_model-00005-of-00006.bin",
"pytorc... | 108fabf8a916900525492c294c50998d7c09f10b | [
"transformers",
"pytorch",
"gptj",
"text-generation",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["GPTJForCausalLM"], "model_type": "gptj", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<|endoftext|>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "<|endoftext|>", "lstrip": false, "normalized"... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | #TODO card. Mix of (GPT-J-6B-Shinen + GPT-J-Dolly LoRA) + Pygmalion-6b
At a ratio of
GPT-J-6B-Shinen - 20%
GPT-J-Dolly LoRA - 20%
Pygmalion-6b - 60% | null | null | null | null | null | null | null | [
"gptj",
"AutoModelForCausalLM",
"GPTJForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66289768838bf837aee4198f | 88cd37e502d27a0a | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 88 | freewheelin/free-solar-evo-v0.11 | freewheelin | null | 8,392 | 151,618 | False | 2024-04-24T05:23:52Z | 2024-04-24T06:42:49Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"F16": 10731524096}, "total": 10731524096} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00005.safetensors",
"model-00002-of-00005.safetensors",
"model-00003-of-00005.safetensors",
"model-00004-of-00005.safetensors",
"model-00005-of-00005.safetensors",
"model.safetensors.index.json",
"special_tok... | 17fc24a557bd3c3836abc9f6a367c803cba0cccd | [
"transformers",
"safetensors",
"llama",
"text-generation",
"ko",
"en",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": "</s>", "unk_token": "<unk>", "use_default_system_prompt": true}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["ko", "en"], "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # Model Card for free-solar-evo-v0.11
## Developed by : [Freewheelin](https://freewheelin-recruit.oopy.io/) AI Technical Team
## Method
- We were inspired by this [Sakana project](https://sakana.ai/evolutionary-model-merge/)
## Base Model
- free-solar-evo-model | null | [
"mit"
] | null | [
"ko",
"en"
] | 10,731,524,096 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
674c6200810801f2fa1bdf5d | 4f91da2c156973cc | 0a1438da55eb2e11 | 102,400 | BPE | 101,782 | true | true | true | true | 362 | NFKC | Sequence | ByteLevel | [
"NFKC"
] | [
"Digits",
"ByteLevel"
] | [
"ByteLevel"
] | 285 | LGAI-EXAONE/EXAONE-3.5-32B-Instruct-AWQ | LGAI-EXAONE | null | 749 | 113,472 | False | 2024-12-01T13:17:52Z | 2026-02-06T06:10:08Z | transformers | 16 | 0 | null | text-generation | {"parameters": {"I32": 30953963520, "F16": 1049236480}, "total": 32003200000} | [
".gitattributes",
"LICENSE",
"README.md",
"assets/EXAONE_Symbol+BI_3d.png",
"config.json",
"configuration_exaone.py",
"generation_config.json",
"merges.txt",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safete... | 278e45157895e03158845c2c873ef6a37bd15a0f | [
"transformers",
"safetensors",
"exaone",
"text-generation",
"lg-ai",
"exaone-3.5",
"conversational",
"custom_code",
"en",
"ko",
"arxiv:2412.04862",
"license:other",
"4-bit",
"awq",
"region:us"
] | null | {"architectures": ["ExaoneForCausalLM"], "auto_map": {"AutoConfig": "configuration_exaone.ExaoneConfig", "AutoModelForCausalLM": "modeling_exaone.ExaoneForCausalLM", "AutoModelForSequenceClassification": "modeling_exaone.ExaoneForSequenceClassification"}, "model_type": "exaone", "quantization_config": {"bits": 4, "quan... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "modeling_exaone.ExaoneForCausalLM",
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": "EXAONE-3.5-32B-Instruct", "datasets": null, "eval_results": null, "language": ["en", "ko"], "library_name": "transformers", "license": "other", "license_name": "exaone", "license_link": "LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["lg-ai", "exaone", "exaone... | <p align="center">
<img src="assets/EXAONE_Symbol+BI_3d.png", width="300", style="margin: 40 auto;">
<br>
# EXAONE-3.5-32B-Instruct-AWQ
## Introduction
We introduce EXAONE 3.5, a collection of instruction-tuned bilingual (English and Korean) generative models ranging from 2.4B to 32B parameters, developed and releas... | null | [
"other",
"exaone",
"LICENSE"
] | null | [
"en",
"ko"
] | 32,003,200,000 | null | null | [
"AutoModelForCausalLM",
"exaone",
"modeling_exaone.ExaoneForCausalLM",
"ExaoneForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66ed0526831eacfcad3cff35 | 848b60b6cd304b65 | ffc911e785abe60e | 151,665 | BPE | 151,387 | true | true | true | true | 22 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 15 | Orion-zhen/Qwen2.5-Coder-7B-Instruct-AWQ | Orion-zhen | {
"models": [
{
"_id": "66e9866925a2de6873aa5a9b",
"id": "Qwen/Qwen2.5-Coder-7B-Instruct"
}
],
"relation": "quantized"
} | 27 | 112,557 | False | 2024-09-20T05:16:22Z | 2024-10-09T12:44:19Z | transformers | 1 | 0 | null | text-generation | {"parameters": {"I32": 6525288448, "F16": 1090328064}, "total": 7615616512} | [
".gitattributes",
"LICENSE",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
... | b3b97ef48b51c1711902bfec9f5378504e75e6ff | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"code",
"codeqwen",
"chat",
"qwen",
"qwen-coder",
"conversational",
"en",
"zh",
"dataset:alvarobartt/openhermes-preferences-coding",
"arxiv:2409.12186",
"arxiv:2309.00071",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-Coder-7... | 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": ["alvarobartt/openhermes-preferences-coding"], "eval_results": null, "language": ["en", "zh"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": "https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct/blob/main/LI... | # Qwen2.5-Coder-7B-Instruct
The model used [alvarobartt/openhermes-preferences-coding](https://huggingface.co/datasets/alvarobartt/openhermes-preferences-coding) as calibration dataset
## Introduction
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). For Qwe... | null | [
"apache-2.0",
"https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct/blob/main/LICENSE"
] | [
"alvarobartt/openhermes-preferences-coding"
] | [
"en",
"zh"
] | 7,615,616,512 | null | [
"code_eval"
] | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6570ecf6f3853f99bc37038a | d60ca18464f4e9f5 | 2f8d5857ae5fa330 | 50,277 | BPE | 50,009 | true | true | true | true | 25 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 914 | havenhq/mamba-chat | havenhq | null | 166 | 111,294 | False | 2023-12-06T21:51:50Z | 2023-12-08T16:50:50Z | transformers | 100 | 0 | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | d343f8ade4c870d916b362746dd23821aae132dd | [
"transformers",
"pytorch",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "pad_token": "<|endoftext|>", "unk_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": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | Mamba-Chat is the first chat language model based on a state-space model architecture, not a transformer.
The model is a fine-tune of Albert Gu's and Tri Dao's model [Mamba-2.8B](https://github.com/state-spaces/mamba) from their paper *Mamba: Linear-Time Sequence Modeling with Selective State Spaces*.
Check our our [... | null | [
"apache-2.0"
] | null | null | null | null | null | [
"AutoModel"
] | [
null
] | null | null | null |
6776fd444f9262d2634b1ad7 | 848b60b6cd304b65 | ffc911e785abe60e | 151,665 | BPE | 151,387 | true | true | true | true | 22 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 15 | ehristoforu/coolqwen-3b-it | ehristoforu | {
"models": [
{
"_id": "66e6d03f69d1083dd982a18c",
"id": "Qwen/Qwen2.5-3B"
}
],
"relation": "finetune"
} | 61 | 110,923 | False | 2025-01-02T20:55:32Z | 2025-01-02T20:58:36Z | transformers | 3 | 0 | null | text-generation | {"parameters": {"F16": 3085383680}, "total": 3085383680} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json... | 5045993527b5da13a71e5b3df8c649bd55425124 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"arxiv:2407.10671",
"base_model:Qwen/Qwen2.5-3B",
"base_model:finetune:Qwen/Qwen2.5-3B",
"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": "Qwen/Qwen2.5-3B", "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "other", "license_name": "qwen-research", "license_link": "https://huggingface.co/Qwen/Qwen2.5-3B-Instruct/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "te... | # Qwen2.5-3B-Instruct
## Introduction
Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:
- Significantly **more know... | null | [
"other",
"qwen-research",
"https://huggingface.co/Qwen/Qwen2.5-3B-Instruct/blob/main/LICENSE"
] | null | [
"en"
] | 3,085,383,680 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
62ab5480e3cc78f1b16f6001 | 9172612ea9646de4 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 441 | gmurro/bart-large-finetuned-filtered-spotify-podcast-summ | gmurro | {
"models": [
{
"_id": "621ffdc136468d709f17adb6",
"id": "facebook/bart-large-cnn"
}
],
"relation": "finetune"
} | 7,868 | 137,523 | False | 2022-06-16T16:04:16Z | 2023-09-11T16:26:07Z | transformers | 14 | 0 | [{"name": "bart-large-finetuned-filtered-spotify-podcast-summ", "results": []}] | null | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"special_tokens_map.json",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 84c8338ec956d76e52421528bbae5d55085b8f4c | [
"transformers",
"tf",
"bart",
"text2text-generation",
"generated_from_keras_callback",
"arxiv:2004.04270",
"base_model:facebook/bart-large-cnn",
"base_model:finetune:facebook/bart-large-cnn",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BartForConditionalGeneration"], "model_type": "bart", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": "<mask>"}} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "facebook/bart-large-cnn", "datasets": null, "eval_results": [], "language": null, "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": "bart-large-finetuned-filtered-spotify-podcast-summ", "pipeline_tag": null, "tags": ["generated_from_keras_... | # bart-large-finetuned-filtered-spotify-podcast-summ
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on on the [Spotify Podcast Dataset](https://arxiv.org/abs/2004.04270). Take a look to the [github repository](https://github.com/TheOnesThatWereAbroad/Pod... | null | [
"mit"
] | null | null | null | null | null | [
"bart",
"BartForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation"
] | null | null | null |
675356c50d1ab72d70dd8fde | cb3f886e13ad7505 | 1f1d26e73b02d1f3 | 49,152 | BPE | 48,891 | false | true | false | true | 19 | null | Sequence | ByteLevel | null | [
"Digits",
"ByteLevel"
] | [
"ByteLevel"
] | 70 | ibm-granite/granite-3.1-8b-base | ibm-granite | null | 1,943 | 117,780 | False | 2024-12-06T19:55:49Z | 2025-04-16T14:58:48Z | transformers | 25 | 0 | null | text-generation | {"parameters": {"BF16": 8170835968}, "total": 8170835968} | [
".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",
"... | 39975ba909950a1bad8fa1cb6981d4d048b75553 | [
"transformers",
"safetensors",
"granite",
"text-generation",
"language",
"granite-3.1",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GraniteForCausalLM"], "model_type": "granite", "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": 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": ["language", "granite-3.1"], "new_version": "ibm-granite/granite-3.3-8b-b... | # Granite-3.1-8B-Base
**Model Summary:**
Granite-3.1-8B-Base extends the context length of Granite-3.0-8B-Base from 4K to 128K using a progressive training strategy by increasing the supported context length in increments while adjusting RoPE theta until the model has successfully adapted to desired length of 128K. T... | null | [
"apache-2.0"
] | null | null | 8,170,835,968 | null | null | [
"granite",
"AutoModelForCausalLM",
"GraniteForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6621337ecdffad4d82a19718 | 88cd37e502d27a0a | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 88 | freewheelin/free-solar-evo-v0.1 | freewheelin | null | 8,362 | 151,124 | False | 2024-04-18T14:51:42Z | 2024-07-16T01:28:26Z | transformers | 1 | 0 | null | text-generation | {"parameters": {"F16": 10731524096}, "total": 10731524096} | [
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"README.md",
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"ko",
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"license:mit",
"text-generation-inference",
"endpoints_compatible",
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] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": "</s>", "unk_token": "<unk>", "use_default_system_prompt": true}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["ko", "en"], "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # Model Card for free-solar-evo-v0.1
## Developed by : [Freewheelin](https://freewheelin-recruit.oopy.io/) AI Technical Team
## Method
- We were inspired by this [Sakana project](https://sakana.ai/evolutionary-model-merge/)
## Base Model
- [hwkwon/S-SOLAR-10.7B-v1.5](https://huggingface.co/hwkwon/S-SOLAR-10.7B-v1.5... | null | [
"mit"
] | null | [
"ko",
"en"
] | 10,731,524,096 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65cb3f5a98a46a56265b4ee4 | 8b011e6c0d97cec9 | 8386a692be535934 | 51,866 | BPE | 50,000 | false | true | true | true | 1,609 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 915 | NbAiLab/nb-whisper-large | NbAiLab | {
"models": [
{
"_id": "63314d044db0a767bbe87ee4",
"id": "openai/whisper-large"
}
],
"relation": "quantized"
} | 7,347 | 145,842 | False | 2024-02-13T10:07:22Z | 2024-07-13T11:44:38Z | transformers | 37 | 0 | null | automatic-speech-recognition | {"parameters": {"F32": 1543490560}, "total": 1543490560} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"config_hf.json",
"ct2/config.json",
"ct2/model.bin",
"ct2/vocabulary.json",
"export_models.sh",
"flax_model.msgpack",
"generation_config.json",
"ggml-model-q5_0.bin",
"ggml-model.bin",
"merges.txt",
"model-00001-of-00002... | 8c6249fdeeb4dcd05e5735a4c39640607eb6e4ac | [
"transformers",
"pytorch",
"jax",
"tensorboard",
"onnx",
"safetensors",
"whisper",
"automatic-speech-recognition",
"audio",
"asr",
"hf-asr-leaderboard",
"no",
"nb",
"nn",
"en",
"dataset:NbAiLab/ncc_speech",
"dataset:NbAiLab/NST",
"dataset:NbAiLab/NPSC",
"arxiv:2212.04356",
"bas... | 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", "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"], "model_name": null, "pipel... | # NB-Whisper Large
Introducing the **_Norwegian NB-Whisper Large model_**, proudly developed by the National Library of Norway. NB-Whisper is a cutting-edge series of models designed for automatic speech recognition (ASR) and speech translation. These models are based on the work of [OpenAI's Whisper](https://arxiv.or... | null | [
"apache-2.0"
] | [
"NbAiLab/ncc_speech",
"NbAiLab/NST",
"NbAiLab/NPSC"
] | [
"no",
"nb",
"nn",
"en"
] | 1,543,490,560 | null | [
"wer",
"cer"
] | [
"WhisperForConditionalGeneration",
"whisper",
"AutoModelForSpeechSeq2Seq"
] | [
"automatic-speech-recognition"
] | [
"multimodal"
] | [
"audio"
] | [
"text"
] |
63e2bc0d9d0892d957603de3 | ae849e4e01717c5e | 9e14ca63c90db3f4 | 32,000 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 134 | deprem-ml/deprem-ner | deprem-ml | null | 2 | 109,708 | False | 2023-02-07T21:01:01Z | 2023-02-11T00:40:32Z | transformers | 29 | 0 | null | token-classification | null | [
".gitattributes",
"README.md",
"config.json",
"optimizer.pt",
"pytorch_model.bin",
"rng_state.pth",
"scheduler.pt",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"trainer_state.json",
"training_args.bin",
"vocab.txt"
] | 4d96dfafcbaf792c406a933f0e732c4aa9c2e505 | [
"transformers",
"pytorch",
"bert",
"token-classification",
"tr",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["tr"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "token-classification", "tags": null, "widget": [{"text": "L\u00fctfen yard\u0131m Akevler maha... | ## deprem-ner
Bu model depremde enkaz altında kalan kişilerin bildirimlerinden sokak, il, ilçe gibi bilgileri çekmeye çalıştık.
Örnek girdiler:
- "Lütfen yardım Akevler mahallesi Rüzgar sokak Tuncay apartmanı zemin kat Antakya akrabalarım göçük altında #hatay #Afad"
- "MARAȘA'ta arkadaşimizdan haber alamıyoruz ACIL ... | null | [
"apache-2.0"
] | null | [
"tr"
] | null | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc136468d709f17b32c | 8a8c94e1a59f5186 | ef4806e2ade9022f | 32,100 | Unigram | null | true | true | true | true | 103 | Precompiled | Sequence | Metaspace | [
"Precompiled"
] | [
"WhitespaceSplit",
"Metaspace"
] | [
"Metaspace"
] | 11 | gagan3012/k2t-base | gagan3012 | null | 26 | 109,637 | False | 2022-03-02T23:29:05Z | 2021-09-22T08:27:23Z | transformers | 2 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"tokenizer.json"
] | 1e12a3b7f8393611eba2c3db5f992cf154b9debf | [
"transformers",
"pytorch",
"t5",
"text-generation",
"keytotext",
"k2t-base",
"Keywords to Sentences",
"en",
"dataset:WebNLG",
"dataset:Dart",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["T5WithLMHeadModel"], "model_type": "t5"} | {
"auto_model": "AutoModelWithLMHead",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["WebNLG", "Dart"], "eval_results": null, "language": "en", "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": ["NLG"], "model_name": null, "pipeline_tag": null, "tags": ["keytotext", "k2t-base", "Keywords to Sentences"], "thumbnail": "Keyword... | # keytotext
Idea is to build a model which will take keywords as inputs and generate sentences as outputs.
### Keytotext is powered by Huggingface 🤗
[![pypi Version](https://img.shields.io/pypi/... | null | [
"mit"
] | [
"WebNLG",
"Dart"
] | [
"en"
] | null | null | [
"NLG"
] | [
"t5",
"T5WithLMHeadModel",
"AutoModelWithLMHead"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6528a18d36b7c441d33134ef | d4e71c54037a4e15 | 4e07ae5db4d7b661 | 100,008 | BPE | 99,743 | false | true | true | true | 9 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 226 | BAAI/AquilaChat2-34B-16K | BAAI | null | 226 | 110,154 | False | 2023-10-13T01:46:53Z | 2024-08-15T07:12:14Z | transformers | 24 | 0 | null | text-generation | null | [
".gitattributes",
"BAAI-Aquila-Model-License -Agreement.pdf",
"LICENSE",
"README.md",
"README_zh.md",
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"log.jpeg",
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... | 9f19774f3e7afad2fc3d51fe308eac5a2d88c8b1 | [
"transformers",
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"aquila",
"text-generation",
"custom_code",
"arxiv:2408.07410",
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] | null | {"architectures": ["AquilaForCausalLM"], "auto_map": {"AutoConfig": "configuration_aquila.AquilaConfig", "AutoModelForCausalLM": "modeling_aquila.AquilaForCausalLM"}, "model_type": "aquila", "tokenizer_config": {"bos_token": "[CLS]", "eos_token": "</s>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "modeling_aquila.AquilaForCausalLM",
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "other", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | 
<h4 align="center">
<p>
<b>English</b> |
<a href="https://huggingface.co/BAAI/AquilaChat2-34B-16K/blob/main/README_zh.md">简体中文</a>
</p>
</h4>
<p align="center">
<a href="https://github.com/FlagAI-Open/Aquila2" target="_blank">Github</a> • <a href="https://github... | null | [
"other"
] | null | null | null | null | null | [
"AutoModelForCausalLM",
"modeling_aquila.AquilaForCausalLM",
"aquila",
"AquilaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65a63a08f6cfc4b24aabca9e | e68b0b111c49dac2 | dd84a2b1ff97657d | 250,002 | Unigram | null | true | true | true | true | 5 | Precompiled | Sequence | Metaspace | [
"Precompiled"
] | [
"WhitespaceSplit",
"Metaspace"
] | [
"Metaspace"
] | 28 | Qdrant/multilingual-e5-large-onnx | Qdrant | null | 278,778 | 506,165 | False | 2024-01-16T08:10:48Z | 2024-07-15T12:53:04Z | transformers | 3 | 0 | null | sentence-similarity | null | [
".gitattributes",
"README.md",
"config.json",
"model.onnx",
"model.onnx_data",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 66076b8dc6e367337e3e90e6fb309fb0f3addaf6 | [
"transformers",
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"feature-extraction",
"sentence-similarity",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["XLMRobertaModel"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "sentence-similarity", "tags": null} | ONNX port of [intfloat/multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) for text classification and similarity searches.
### Usage
Here's an example of performing inference using the model with [FastEmbed](https://github.com/qdrant/fastembed).
```py
from fastembed import TextEmbedding
d... | null | [
"apache-2.0"
] | null | null | null | null | null | [
"XLMRobertaModel",
"AutoModel",
"xlm-roberta"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
664358ee806e2f0aafef0304 | 3f287b04362fff24 | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 158 | ibivibiv/llama-3-nectar-dpo-8B | ibivibiv | null | 8,385 | 150,457 | False | 2024-05-14T12:28:30Z | 2024-05-14T18:56:48Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"F32": 8030261248}, "total": 8030261248} | [
".gitattributes",
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"model-00005-of-00007.safetensors",
"model-00006-of-00007.safetensors",
"model-0... | 55b6eda126756b92fe5cbd09ca2a8ce245e4f491 | [
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"text-generation-inference",
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"deploy:azure",
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] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|e... | {
"auto_model": "AutoModelForCausalLM",
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"pipeline_tag": "text-generation",
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} | {"base_model": null, "datasets": null, "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": 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 | [
"llama3"
] | null | [
"en"
] | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
667a7061742286b16d11b961 | 3f287b04362fff24 | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 158 | UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3 | UCLA-AGI | null | 8,343 | 150,514 | False | 2024-06-25T07:23:13Z | 2024-06-28T19:36:28Z | transformers | 83 | 0 | [{"name": "Llama-3-Instruct-8B-SPPO-Iter3", "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": 68.28, "name": ... | text-generation | {"parameters": {"BF16": 8030261248}, "total": 8030261248} | [
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"... | 48c29bf2d9d68113255df9a47a9dabff6c67a13f | [
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"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"datasets": ["openbmb/UltraFeedback"], "language": ["en"], "license": "apache-2.0", "pipeline_tag": "text-generation", "model-index": [{"name": "Llama-3-Instruct-8B-SPPO-Iter3", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "IFEval (0-Shot)", "type": "HuggingFaceH4/if... | Self-Play Preference Optimization for Language Model Alignment (https://arxiv.org/abs/2405.00675)
# Llama-3-Instruct-8B-SPPO-Iter3
This model was developed using [Self-Play Preference Optimization](https://arxiv.org/abs/2405.00675) at iteration 3, based on the [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface... | null | [
"apache-2.0"
] | [
"openbmb/UltraFeedback"
] | [
"en"
] | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
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"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
662dbb40e701924c07af2f1a | 88cd37e502d27a0a | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 88 | freewheelin/free-solar-evo-v0.13 | freewheelin | null | 8,364 | 150,552 | False | 2024-04-28T02:58:08Z | 2024-04-28T03:50:35Z | transformers | 2 | 0 | null | text-generation | {"parameters": {"F16": 10731524096}, "total": 10731524096} | [
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## Developed by : [Freewheelin](https://freewheelin-recruit.oopy.io/) AI Technical Team
## Method
- We were inspired by this [Sakana project](https://sakana.ai/evolutionary-model-merge/)
## Base Model
- free-solar-evo-model | null | [
"mit"
] | null | [
"ko",
"en"
] | 10,731,524,096 | null | null | [
"AutoModelForCausalLM",
"llama",
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"text-generation"
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"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 33 | shed-e/thucnews | shed-e | null | 11 | 109,422 | False | 2022-09-25T07:46:35Z | 2022-09-25T08:29:09Z | transformers | 0 | 0 | [{"name": "thucnews", "results": [{"task": {"name": "Text Classification", "type": "text-classification"}, "dataset": {"name": "load_train", "type": "load_train", "config": "default", "split": "train", "args": "default"}, "metrics": [{"name": "Accuracy", "type": "accuracy", "value": 0.9433, "verified": false}]}]}] | text-classification | null | [
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} | {"datasets": ["load_train"], "license": "apache-2.0", "metrics": ["accuracy"], "tags": ["generated_from_trainer"], "model-index": [{"name": "thucnews", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "load_train", "type": "load_train", "config": "default", "split... | <!-- 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. -->
# thucnews
This model is a fine-tuned version of [hfl/rbt6](https://huggingface.co/hfl/rbt6) on the load_train dataset.
It achieves... | null | [
"apache-2.0"
] | [
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] | null | null | null | [
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} | null | null | null | null | null | null | null | null | null | [
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"models": [
{
"_id": "6795ffcd88cd7c0294702a72",
"id": "Qwen/Qwen2.5-VL-7B-Instruct"
}
],
"relation": "quantized"
} | 459 | 122,875 | False | 2025-07-22T22:26:21Z | 2025-08-19T15:31:53Z | transformers | 18 | 0 | null | image-text-to-text | {"parameters": {"BF16": 1768268800, "F8_E4M3": 6525288448}, "total": 8293557248} | [
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"endpoints_compatible",... | null | {"architectures": ["Qwen2_5_VLForConditionalGeneration"], "model_type": "qwen2_5_vl", "quantization_config": {"quant_method": "compressed-tensors"}, "processor_config": {"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first an... | {
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# olmOCR-7B-0725-FP8
Quantized to FP8 Version of [olmOCR-7B-0725](https://huggingface.co/allenai/olmOCR-7B-0725), using llmcompr... | null | [
"apache-2.0"
] | [
"allenai/olmOCR-mix-0225"
] | [
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] | 8,293,557,248 | null | null | [
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] | [
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<!-- 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 | [
"apache-2.0"
] | null | null | 8,030,277,632 | null | null | [
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"llama",
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"ByteLevel"
] | [
"ByteLevel"
] | 916 | InstructPLM/MPNN-ProGen2-xlarge-CATH42 | InstructPLM | null | 64 | 109,026 | False | 2024-04-01T01:11:15Z | 2024-06-06T02:25:30Z | transformers | 11 | 0 | null | text-generation | {"parameters": {"F32": 2097152, "F16": 6533316638, "BOOL": 33554432}, "total": 6568968222} | [
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... | b1633e6969d66e87424421c64944416aac706d2b | [
"transformers",
"safetensors",
"progen",
"text-generation",
"biology",
"custom_code",
"license:apache-2.0",
"region:us"
] | null | {"architectures": ["ProGenForCausalLM"], "auto_map": {"AutoConfig": "configuration_progen.ProGenConfig", "AutoModelForCausalLM": "modeling_InstructProGen.ProGenForCausalLM"}, "model_type": "progen", "tokenizer_config": {}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "modeling_InstructProGen.ProGenForCausalLM",
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["biology"]} | # InstrcutPLM
InstructPLM is a state-of-the-art protein design model based on [ProGen2](https://www.cell.com/cell-systems/abstract/S2405-4712(23)00272-7)
and [ProteinMPNN](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997061/)
and trained on [CATH 4.2](https://www.cathdb.info/) dataset.
It can design protein sequenc... | null | [
"apache-2.0"
] | null | null | 6,568,968,222 | null | null | [
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"Split",
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] | [
"ByteLevel"
] | 111 | llamafactory/tiny-random-Llama-3-valuehead | llamafactory | null | 6,673 | 143,829 | False | 2024-06-15T10:14:17Z | 2024-06-15T10:22:45Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"F32": 17, "F16": 4112464}, "total": 4112481} | [
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] | 727a4fdcb13397506673f3a153d6dffa05951f39 | [
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] | 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... | {
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null, "inference": false} | A tiny version of https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct + ValueHead | null | [
"apache-2.0"
] | null | null | 4,112,481 | null | null | [
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] | 917 | migtissera/Tess-M-v1.3 | migtissera | null | 8,540 | 150,568 | False | 2023-11-24T18:24:09Z | 2023-12-04T16:54:29Z | transformers | 26 | 0 | null | text-generation | null | [
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "other", "license_name": "yi-34b", "license_link": "https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # Note:
This version is the stable release. The issues that were present in versions 1.0, 1.1 and 1.2 all have been rectified. Thank you for your patience while R&D was conducted. Enjoy!
This model have been tested on very long context length. Model produced slight repetition, but it was very minor. I recommend test... | null | [
"other",
"yi-34b",
"https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE"
] | null | null | null | null | null | [
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621ffdc136468d709f17a5bb | 8a8c94e1a59f5186 | ef4806e2ade9022f | 32,100 | Unigram | null | true | true | true | true | 103 | Precompiled | Sequence | Metaspace | [
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] | 11 | deep-learning-analytics/automatic-title-generation | deep-learning-analytics | null | 8,474 | 140,000 | False | 2022-03-02T23:29:05Z | 2022-01-23T18:42:43Z | transformers | 7 | 0 | null | null | null | [
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] | null | {"architectures": ["T5ForConditionalGeneration"], "model_type": "t5", "tokenizer_config": {"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}} | {
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65ad39cddd55025184fefc6c | bfe694f64f4a18f5 | daab2a732bab72e2 | 128,001 | Unigram | null | true | true | true | true | 5 | Sequence | Sequence | Metaspace | [
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] | 22 | mrm8488/deberta-v3-ft-financial-news-sentiment-analysis | mrm8488 | {
"models": [
{
"_id": "621ffdc136468d709f17dee6",
"id": "microsoft/deberta-v3-small"
}
],
"relation": "finetune"
} | 74,841 | 263,127 | False | 2024-01-21T15:35:41Z | 2024-01-21T17:11:53Z | transformers | 30 | 0 | [{"name": "deberta-v3-ft-news-sentiment-analisys", "results": []}] | text-classification | {"parameters": {"F32": 141897219}, "total": 141897219} | [
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"license:mit",
"text-embeddi... | null | {"architectures": ["DebertaV2ForSequenceClassification"], "model_type": "deberta-v2", "tokenizer_config": {"bos_token": "[CLS]", "cls_token": "[CLS]", "eos_token": "[SEP]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
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} | {"base_model": "microsoft/deberta-v3-small", "datasets": null, "eval_results": [], "language": null, "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": ["precision", "recall", "accuracy", "f1"], "model_name": "deberta-v3-ft-news-sentiment-analisys", "pipeline_tag": null, "tag... | <!-- 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. -->
<div style="text-align:center;width:250px;height:250px;">
<img src="https://huggingface.co/mrm8488/deberta-v3-ft-financial-news... | null | [
"mit"
] | null | null | 141,897,219 | null | [
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Introducing DeepSeek-VL2, an advanced series of large Mixture-of-Experts (MoE) Vision-Language Models that significantly improves upon its predecessor, DeepSeek-VL. DeepSeek-VL2 demonstrates superior capabilities across various tasks, including but not limited to visual question answering, optical c... | null | [
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<h2 style="text-align: center">A merge of Pygmalion-2 13B and MythoMax 13B</h2>
## Model Details
The long-awaited release of our new models based on Llama-2 is finally here. This model was created in
collaboration with [Gryphe](https://huggingface.co/Gryphe), a mixtur... | null | [
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"dat... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": "<unk>", "unk_token": "<unk>", "use_default_system_prompt": false, "chat_template": "{%- for idx in range(0, messages|length) -%}\n{%- if messages[idx]['role'] == 'user' -%}\n{%- if ... | {
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## Overview
An experimental fine-tune of yi-34b-200k using [bagel](https://github.com/jondurbin/bagel)
This is the model after the SFT phase, before DPO has been applied. DPO performs better on benchmarks, but this version is likely better for creative wr... | null | [
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"openbookqa",
"piqa",
"Vezora/Tested-22k-Python-Alpaca",
"cakiki/ros... | null | 34,388,917,248 | null | null | [
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<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<d... | null | [
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<h4 align="center">
<p>
<b>English</b> |
<a href="https://huggingface.co/BAAI/AquilaChat-7B/blob/main/README_zh.md">简体中文</a>
</p>
</h4>
Aquila Language Model is the first open source language model that supports both Chinese and English knowledge, commercial licens... | null | [
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} | {"base_model": null, "datasets": ["Dizex/FoodBase"], "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": ["FoodBase", "NER"], "widget": [{"text": "Today's meal: Fresh olive pok\u00e... | # FoodBaseBERT
## Model description
**FoodBaseBERT** is a fine-tuned BERT model that is ready to use for **Named Entity Recognition** of Food entities. It has been trained to recognize one entity: food (FOOD).
Specifically, this model is a *bert-base-cased* model that was fine-tuned on the [FoodBase NER](https://aca... | null | [
"mit"
] | [
"Dizex/FoodBase"
] | [
"en"
] | 107,723,267 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
67569d02d3ff7f20aafe89de | 6942ed78a8bfd61e | dd84a2b1ff97657d | 250,002 | Unigram | null | true | true | true | true | 5 | Sequence | Metaspace | Metaspace | [
"Precompiled",
"Strip",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 921 | Johnson8187/Chinese-Emotion | Johnson8187 | {
"models": [
{
"_id": "621ffdc136468d709f17ccec",
"id": "joeddav/xlm-roberta-large-xnli"
}
],
"relation": "finetune"
} | 1,179 | 135,336 | False | 2024-12-09T07:32:18Z | 2024-12-18T05:02:36Z | transformers | 31 | 0 | null | text-classification | {"parameters": {"F32": 559898632}, "total": 559898632} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin"
] | 76f94d57b9fdf2b801b9ff9ef2d2af16d2ddf27e | [
"transformers",
"safetensors",
"xlm-roberta",
"text-classification",
"emotion",
"zh",
"dataset:Johnson8187/Chinese_Multi-Emotion_Dialogue_Dataset",
"base_model:joeddav/xlm-roberta-large-xnli",
"base_model:finetune:joeddav/xlm-roberta-large-xnli",
"license:mit",
"text-embeddings-inference",
"en... | null | {"architectures": ["XLMRobertaForSequenceClassification"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": "<mask>", "pad_token": "<pad>", "sep_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": ["joeddav/xlm-roberta-large-xnli"], "datasets": ["Johnson8187/Chinese_Multi-Emotion_Dialogue_Dataset"], "eval_results": null, "language": ["zh"], "library_name": "transformers", "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-classi... | # chinese-text-emotion-classifier
Here's a model is fine-tuned based on another base model and features a smaller parameter size. For users who require faster inference speed, this model is a suitable choice.The actual performance test results are also not much different.
Model：[Chinese-Emotion-Small](https://huggingf... | null | [
"mit"
] | [
"Johnson8187/Chinese_Multi-Emotion_Dialogue_Dataset"
] | [
"zh"
] | 559,898,632 | null | null | [
"AutoModelForSequenceClassification",
"XLMRobertaForSequenceClassification",
"xlm-roberta"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f176262 | 7ad3276fa7fbcbae | 4a714e39d07d2a5f | 50,325 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 922 | KBLab/bert-base-swedish-lowermix-reallysimple-ner | KBLab | null | 6,869 | 117,522 | False | 2022-03-02T23:29:04Z | 2023-04-19T07:18:42Z | transformers | 5 | 0 | null | token-classification | {"parameters": {"I64": 512, "F32": 124107273}, "total": 124107785} | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 007c6b26e6418574c494791f036d5dfa34a558da | [
"transformers",
"pytorch",
"safetensors",
"bert",
"token-classification",
"sequence-tagger-model",
"sv",
"dataset:KBLab/sucx3_ner",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["KBLab/sucx3_ner"], "eval_results": null, "language": "sv", "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["token-classification", "sequence-tagger-model", "bert"], "model": ["KB/ber... | # KB-BERT for NER
## Mixed cased and uncased data
This model is based on [KB-BERT](https://huggingface.co/KB/bert-base-swedish-cased) and was fine-tuned on the [SUCX 3.0 - NER](https://huggingface.co/datasets/KBLab/sucx3_ner) corpus, using the _simple_ tags and partially lowercased data.
For this model we used a vari... | null | null | [
"KBLab/sucx3_ner"
] | [
"sv"
] | 124,107,785 | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
65a17695b172f47c9c3025d8 | 5a71b1ff93e25ee3 | e500807066708b72 | 64,002 | BPE | 110,029 | true | false | true | true | 5 | Sequence | null | Sequence | [
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse"
] | 923 | Weyaxi/Bagel-Hermes-34B-Slerp | Weyaxi | null | 8,524 | 149,234 | False | 2024-01-12T17:27:49Z | 2024-09-15T12:16:35Z | transformers | 1 | 0 | [{"name": "Bagel-Hermes-34B-Slerp", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config": "ARC-Challenge", "split": "test", "args": {"num_few_shot": 25}}, "metrics": [{"type": "acc_norm", "value": 70.73, "name":... | text-generation | {"parameters": {"BF16": 34388945920}, "total": 34388945920} | [
".gitattributes",
".ipynb_checkpoints/README-checkpoint.md",
".ipynb_checkpoints/added_tokens-checkpoint.json",
"README.md",
"added_tokens.json",
"config.json",
"mergekit_config.yml",
"model-00001-of-00008.safetensors",
"model-00002-of-00008.safetensors",
"model-00003-of-00008.safetensors",
"mod... | 67e98821c3b3049ca0455bee1f3f99ca9b35cdb9 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"mergekit",
"merge",
"conversational",
"license:apache-2.0",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{%- for idx in range(0, messages|length) -%}\n{%- if messages[idx]['role'] == 'user' -%}\n{%- if idx > 1 -%}\n{{- bos_token + '[INST] ' + messages[idx]['content'] + ' [/INST]' -}}\n{%- else -%}\n{{-... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"license": "apache-2.0", "tags": ["mergekit", "merge"], "model-index": [{"name": "Bagel-Hermes-34B-Slerp", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config": "ARC-Challenge", "split": "test", "args": {"num_f... | # Bagel-Hermes-34B-Slerp
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Nous-Hermes-2-Yi-34B
* bage... | null | [
"apache-2.0"
] | null | null | 34,388,945,920 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
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"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 212 | NousResearch/CodeLlama-13b-hf | NousResearch | null | 1,485 | 115,862 | False | 2023-08-24T17:32:04Z | 2023-08-24T17:34:57Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
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"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
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66a5e17f8e291e4721b18ae0 | 390af744e5565f11 | 101408923f784238 | 64,000 | WordPiece | null | true | true | true | true | 8 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 924 | Omartificial-Intelligence-Space/Arabic-Triplet-Matryoshka-V2 | Omartificial-Intelligence-Space | {
"models": [
{
"_id": "621ffdc136468d709f1794dc",
"id": "aubmindlab/bert-base-arabertv02"
}
],
"relation": "finetune"
} | 2,972 | 125,369 | False | 2024-07-28T06:13:19Z | 2025-09-07T07:48:42Z | sentence-transformers | 23 | 0 | null | feature-extraction | {"parameters": {"F32": 135193344}, "total": 135193344} | [
".gitattributes",
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"sentence_bert_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 408d483803e83aaea0aceec550deac66e5f8dc11 | [
"sentence-transformers",
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"bert",
"feature-extraction",
"transformers.js",
"transformers",
"sentence-similarity",
"dataset_size:75000",
"loss:MatryoshkaLoss",
"loss:MultipleNegativesRankingLoss",
"mteb",
"ar",
"dataset:akhooli/arabic-triplets-1m-curated-sims-len",
"arxiv:2505... | null | {"architectures": ["BertModel"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": "aubmindlab/bert-base-arabertv02", "datasets": ["akhooli/arabic-triplets-1m-curated-sims-len"], "eval_results": null, "language": ["ar"], "library_name": "sentence-transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "fea... | # Arabic Triplet Matryoshka V2 Model [ATM2]
## Model Description
Arabic-Triplet-Matryoshka-V2-Model is a state-of-the-art Arabic language embedding model based on the [sentence-transformers](https:/... | null | [
"apache-2.0"
] | [
"akhooli/arabic-triplets-1m-curated-sims-len"
] | [
"ar"
] | 135,193,344 | null | null | [
"BertModel",
"AutoModel",
"bert"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
670bc192a6ad85d9c8981ebd | 70a2a320361d4ddf | 3dd5f512c30a5400 | 65,024 | BPE | 64,784 | false | true | false | true | 12 | null | Sequence | ByteLevel | null | [
"Punctuation",
"ByteLevel",
"Digits",
"Split"
] | [
"ByteLevel"
] | 678 | tiiuae/falcon-mamba-tiny-dev | tiiuae | null | 27,324 | 202,648 | False | 2024-10-13T12:48:18Z | 2024-10-13T12:49:36Z | transformers | 2 | 0 | null | text-generation | {"parameters": {"F32": 8765056}, "total": 8765056} | [
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] | f22d33f72a4cc27c1827f3020a6df28c5097fd06 | [
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"text-generation",
"conversational",
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"region:us"
] | 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",
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"AutoModelForCausalLM",
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"text"
] | [
"text"
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"Prepend",
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] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 88 | ybelkada/Mixtral-8x7B-Instruct-v0.1-AWQ | ybelkada | null | 11 | 107,872 | False | 2023-12-12T22:22:51Z | 2023-12-12T22:27:03Z | transformers | 16 | 0 | null | text-generation | {"parameters": {"I32": 46439333888, "F16": 263458816}, "total": 46702792704} | [
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... | 210178de52e8050f8082724b7e7ab8944c04cdce | [
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"endpoints_compatible",
"4-bit",
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] | null | {"architectures": ["MixtralForCausalLM"], "model_type": "mixtral", "quantization_config": {"bits": 4, "quant_method": "awq"}, "tokenizer_config": {"bos_token": "<s>", "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversat... | {
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} | null | null | null | null | null | null | 46,702,792,704 | null | null | [
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68bfd30b51949bb6f37b3447 | 848b60b6cd304b65 | ffc911e785abe60e | 151,665 | BPE | 151,387 | true | true | true | true | 22 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
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"ByteLevel"
] | 15 | NangWeiLun/MiMo-VL-7B-RL-2508-bnb-4bit-fp4 | NangWeiLun | {
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"id": "XiaomiMiMo/MiMo-VL-7B-RL-2508"
}
],
"relation": "quantized"
} | 489 | 145,755 | False | 2025-09-09T07:11:07Z | 2025-09-09T07:12:44Z | transformers | 0 | 0 | null | image-text-to-text | {"parameters": {"F32": 110336480, "BF16": 1245106432, "U8": 7061178896}, "total": 8306217216} | [
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"to... | f654597ca301f142676a7f5dfe69bb080dbeba82 | [
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"base_model:quantized:XiaomiMiMo/MiMo-VL-7B-RL-2508",
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... | null | {"architectures": ["Qwen2_5_VLForConditionalGeneration"], "model_type": "qwen2_5_vl", "quantization_config": {"load_in_4bit": true, "load_in_8bit": false, "quant_method": "bitsandbytes"}, "tokenizer_config": {"bos_token": null, "eos_token": "<|im_end|>", "pad_token": "<|endoftext|>", "unk_token": null}, "chat_template_... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": ["XiaomiMiMo/MiMo-VL-7B-RL-2508"], "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": ["quantization", "4bit", "bitsandby... | null | null | [
"mit"
] | null | null | 8,306,217,216 | null | null | [
"qwen2_5_vl",
"AutoModelForImageTextToText",
"Qwen2_5_VLForConditionalGeneration"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
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64b6f32490b38df83374be8e | 84892a81d307796d | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
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] | null | [
"Replace",
"ByteFallback",
"Fuse",
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] | 133 | daryl149/llama-2-13b-chat-hf | daryl149 | null | 37 | 107,648 | False | 2023-07-18T20:16:36Z | 2023-07-23T17:13:31Z | transformers | 20 | 0 | null | text-generation | null | [
".gitattributes",
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] | 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",
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"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | [
"AutoModelForCausalLM",
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"LlamaForCausalLM"
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"text-generation"
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"text"
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"text"
] | |
66aa7360b76cafa058e18aa9 | 6e6a83dc4b556c95 | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 111 | Infermatic/L3-70B-Euryale-v2.1-fp8-dynamic | Infermatic | null | 35 | 110,582 | False | 2024-07-31T17:24:48Z | 2024-08-27T12:58:34Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"BF16": 2102665216, "F8_E4M3": 68451041280}, "total": 70553706496} | [
".gitattributes",
"README.md",
"config.json",
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"model-0... | 54df22b803212042fa92231f690dac5153a94d01 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"en",
"license:cc-by-nc-4.0",
"text-generation-inference",
"endpoints_compatible",
"fp8",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"quant_method": "fp8"}, "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for ... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "cc-by-nc-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | 
This quant was made for [infermatic.ai](https://infermatic.ai/)
Dynamic FP8 quant of [L3-70B-Euryale-v2.1](https://huggingface.co/Sao10K/L3-70B-Euryale-v2.1) made with AutoFP8.
**This is a FP8 version of the model, original card is below:**
https://huggingfa... | null | [
"cc-by-nc-4.0"
] | null | [
"en"
] | 70,553,706,496 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67b73a66fedfe97127ecf24a | 2cdba62b0ecdc386 | c0d8706e90709d09 | 49,155 | BPE | 48,872 | false | true | false | true | 41 | null | Sequence | ByteLevel | null | [
"Digits",
"ByteLevel"
] | [
"ByteLevel"
] | 588 | modularStarEncoder/ModularStarEncoder-finetuned-4 | modularStarEncoder | {
"models": [
{
"_id": "67b50abaa64445f58c6621d8",
"id": "modularStarEncoder/ModularStarEncoder"
}
],
"relation": "finetune"
} | 7 | 117,003 | False | 2025-02-20T14:21:26Z | 2025-05-21T08:26:23Z | transformers | 0 | 0 | null | feature-extraction | {"parameters": {"BF16": 163665921}, "total": 163665921} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"config.py",
"merges.txt",
"model.safetensors",
"modularStarEncoder.py",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 9adc0e23181b4360e74ee82bebf88d735bd92326 | [
"transformers",
"safetensors",
"ModularStarEncoder",
"feature-extraction",
"custom_code",
"dataset:bigcode/the-stack-v2",
"dataset:modularStarEncoder/SynthCode2Code2NL-neardedup",
"arxiv:2503.03008",
"arxiv:2307.16885",
"base_model:modularStarEncoder/ModularStarEncoder",
"base_model:finetune:mod... | null | {"architectures": ["ModularStarEncoder"], "auto_map": {"AutoConfig": "config.ModularStarEncoderConfig", "AutoModel": "modularStarEncoder.ModularStarEncoder"}, "model_type": "ModularStarEncoder", "tokenizer_config": {"bos_token": "<|endoftext|>", "cls_token": "<cls>", "eos_token": "<|endoftext|>", "mask_token": "<mask>"... | {
"auto_model": "AutoModel",
"custom_class": "modularStarEncoder.ModularStarEncoder",
"pipeline_tag": "feature-extraction",
"processor": null
} | {"base_model": ["modularStarEncoder/ModularStarEncoder"], "datasets": ["bigcode/the-stack-v2", "modularStarEncoder/SynthCode2Code2NL-neardedup"], "eval_results": null, "language": null, "library_name": "transformers", "license": "bigcode-openrail-m", "license_name": null, "license_link": null, "metrics": null, "model_n... | # ModularStarEncoder-160M Fine-Tuned model
<!-- Provide a quick summary of what the model is/does. -->
ModularStarEncoder-finetuned-4 is an encoder built on top of [ModularStarEncoder-1B Pre-trained](https://huggingface.co/andreagurioli1995/ModularStarEncoder) on [SynthCoNL](https://huggingface.co/datasets/andreaguri... | null | [
"bigcode-openrail-m"
] | [
"bigcode/the-stack-v2",
"modularStarEncoder/SynthCode2Code2NL-neardedup"
] | null | 163,665,921 | null | null | [
"modularStarEncoder.ModularStarEncoder",
"ModularStarEncoder",
"AutoModel"
] | [
"feature-extraction"
] | [
"multimodal"
] | [
"text"
] | [
"embeddings"
] |
689374f41dc3bcaaf05e4963 | 441f36ff7235b58e | 985b920c8f6b14f1 | 200,019 | BPE | 446,189 | false | true | true | true | 21 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 54 | huihui-ai/Huihui-gpt-oss-20b-BF16-abliterated | huihui-ai | {
"models": [
{
"_id": "68924312dd81882f9eb83b66",
"id": "unsloth/gpt-oss-20b-BF16"
}
],
"relation": "quantized"
} | 30,033 | 202,954 | False | 2025-08-06T15:29:56Z | 2025-09-27T15:37:32Z | transformers | 201 | 1 | null | text-generation | null | [
".gitattributes",
"GGUF/ggml-model-Q3_K_M.gguf",
"GGUF/ggml-model-Q4_K_M.gguf",
"GGUF/ggml-model-f16.gguf",
"GGUF/ggml-model-q8_0.gguf",
"README.md",
"chat_template.jinja",
"config.json",
"generation_config.json",
"model-00001-of-00009.safetensors",
"model-00002-of-00009.safetensors",
"model-0... | b73ec897fe872d5e3fea830d516520537decdde6 | [
"transformers",
"safetensors",
"gguf",
"gpt_oss",
"text-generation",
"vllm",
"unsloth",
"abliterated",
"uncensored",
"conversational",
"base_model:unsloth/gpt-oss-20b-BF16",
"base_model:quantized:unsloth/gpt-oss-20b-BF16",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"... | {"total": 20914757184, "architecture": "gpt-oss", "context_length": 131072, "chat_template": "{# Copyright 2025-present Unsloth. Apache 2.0 License. Unsloth chat template fixes. Edited from ggml-org & OpenAI #}\n{#-\n In addition to the normal inputs of `messages` and `tools`, this template also accepts the\n followi... | {"architectures": ["GptOssForCausalLM"], "model_type": "gpt_oss", "tokenizer_config": {"bos_token": "<|startoftext|>", "eos_token": "<|return|>", "pad_token": "<|endoftext|>"}, "chat_template_jinja": "{# Copyright 2025-present Unsloth. Apache 2.0 License. Unsloth chat template fixes. Edited from ggml-org & OpenAI #}\r\... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["unsloth/gpt-oss-20b-BF16"], "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["vllm", "unsloth", "abliterated", "... | # huihui-ai/Huihui-gpt-oss-20b-BF16-abliterated
This is an uncensored version of [unsloth/gpt-oss-20b-BF16](https://huggingface.co/unsloth/gpt-oss-20b-BF16) created with abliteration (see [remove-refusals-with-transformers](https://github.com/Sumandora/remove-refusals-with-transformers) to know more about it).
## ... | null | [
"apache-2.0"
] | null | null | null | 20,914,757,184 | null | [
"AutoModelForCausalLM",
"GptOssForCausalLM",
"gpt_oss",
"gpt-oss"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
641a61d9e9cc9f1bf338f259 | 58967ba68263f0aa | 2f8d5857ae5fa330 | 50,277 | BPE | 50,009 | true | true | true | true | 25 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 86 | togethercomputer/Pythia-Chat-Base-7B | togethercomputer | null | 1,010 | 111,955 | False | 2023-03-22T02:03:05Z | 2023-03-29T02:52:46Z | transformers | 67 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model-00001-of-00002.bin",
"pytorch_model-00002-of-00002.bin",
"pytorch_model.bin.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 97aa918c383820e1a69f042801091d7deb996c20 | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"en",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["GPTNeoXForCausalLM"], "model_type": "gpt_neox", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | ***<p style="font-size: 24px">Feel free to try out our [OpenChatKit feedback app](https://huggingface.co/spaces/togethercomputer/OpenChatKit)!</p>***
# Pythia-Chat-Base-7B-v0.16
> TLDR: As part of OpenChatKit (codebase available [here](https://github.com/togethercomputer/OpenChaT)),
> Pythia-Chat-Base-7B-v0.16 is a 7... | null | [
"apache-2.0"
] | null | [
"en"
] | null | null | null | [
"gpt_neox",
"AutoModelForCausalLM",
"GPTNeoXForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6476f199beaeebff4a4f8d5d | 53ecf467267e2824 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 0 | noamrot/FuseCap_Image_Captioning | noamrot | null | 886 | 113,208 | False | 2023-05-31T07:04:57Z | 2024-01-25T15:42:28Z | transformers | 23 | 0 | null | image-to-text | null | [
".gitattributes",
"README.md",
"config.json",
"preprocessor_config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | b6793ca833179d04dd227c30c39c2531b9d21ba6 | [
"transformers",
"pytorch",
"blip",
"image-text-to-text",
"image-captioning",
"image-to-text",
"arxiv:2305.17718",
"license:mit",
"region:us"
] | null | {"architectures": ["BlipForConditionalGeneration"], "model_type": "blip", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-to-text", "tags": ["image-captioning"], "inference": false} | # FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions
A framework designed to generate semantically rich image captions.
## Resources
- 💻 **Project Page**: For more details, visit the official [project page](https://rotsteinnoam.github.io/FuseCap/).
- 📝 **Read the Paper**: You can find the... | null | [
"mit"
] | null | null | null | null | null | [
"blip",
"AutoModelForImageTextToText",
"BlipForConditionalGeneration"
] | [
"image-text-to-text",
"image-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
68e317dfba87eb9415e487ee | 451ee55e88313ef2 | 4815e8c432d72506 | 100,280 | BPE | 100,000 | false | true | false | true | 24 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 313 | trl-internal-testing/tiny-DbrxForCausalLM | trl-internal-testing | null | 32,889 | 190,787 | False | 2025-10-06T01:14:07Z | 2026-03-26T18:03:31Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"BF16": 4876152}, "total": 4876152} | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.jinja",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 9b8efa12d99cf8c94c6b2afc7026c18d32b95104 | [
"transformers",
"safetensors",
"dbrx",
"text-generation",
"trl",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DbrxForCausalLM"], "model_type": "dbrx", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "pad_token": "<|pad|>", "unk_token": "<|endoftext|>"}, "chat_template_jinja": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["trl"]} | # Tiny DbrxForCausalLM
This is a minimal model built for unit tests in the [TRL](https://github.com/huggingface/trl) library. | null | null | null | null | 4,876,152 | null | null | [
"AutoModelForCausalLM",
"DbrxForCausalLM",
"dbrx"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6471c74483da304b49d85a2f | 3a732ab237c338af | c21f0239d1cf0f86 | 65,024 | BPE | 64,784 | false | true | false | true | 12 | null | Sequence | ByteLevel | null | [
"Punctuation",
"ByteLevel",
"Digits",
"Split"
] | [
"ByteLevel"
] | 45 | TheBloke/Falcon-7B-Instruct-GPTQ | TheBloke | null | 268 | 107,766 | False | 2023-05-27T09:03:00Z | 2023-08-21T11:21:22Z | transformers | 68 | 0 | null | text-generation | {"parameters": {"F32": 591238016, "I32": 6625951744, "F16": 1021952}, "total": 7218211712} | [
".gitattributes",
"README.md",
"config.json",
"configuration_RW.py",
"generation_config.json",
"model.safetensors",
"modelling_RW.py",
"quantize_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | d6ce55f4e840bbbd596d1a65f64888f0a3c3326b | [
"transformers",
"safetensors",
"RefinedWebModel",
"text-generation",
"custom_code",
"en",
"dataset:tiiuae/falcon-refinedweb",
"arxiv:2205.14135",
"arxiv:1911.02150",
"arxiv:2005.14165",
"arxiv:2104.09864",
"license:apache-2.0",
"text-generation-inference",
"4-bit",
"gptq",
"region:us"
... | null | {"architectures": ["RWForCausalLM"], "auto_map": {"AutoConfig": "configuration_RW.RWConfig", "AutoModelForCausalLM": "modelling_RW.RWForCausalLM"}, "model_type": "RefinedWebModel", "quantization_config": {"bits": 4, "quant_method": "gptq"}, "tokenizer_config": {"eos_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "modelling_RW.RWForCausalLM",
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": null, "datasets": ["tiiuae/falcon-refinedweb"], "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null, "inference": false} | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<d... | null | [
"apache-2.0"
] | [
"tiiuae/falcon-refinedweb"
] | [
"en"
] | 7,218,211,712 | null | null | [
"AutoModelForCausalLM",
"RWForCausalLM",
"RefinedWebModel",
"modelling_RW.RWForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
64e9d049a98b5aa7dbd888c3 | 9ad48a1dad767f78 | 5f6dd84d388455b1 | 32,023 | BPE | 61,260 | true | false | true | true | 10 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 925 | OpenAssistant/codellama-13b-oasst-sft-v10 | OpenAssistant | null | 1,465 | 115,010 | False | 2023-08-26T10:13:29Z | 2023-08-29T19:16:10Z | transformers | 70 | 0 | null | text-generation | {"parameters": {"BF16": 13016192000}, "total": 13016192000} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"configuration_llama.py",
"generation_config.json",
"model-00001-of-00014.safetensors",
"model-00002-of-00014.safetensors",
"model-00003-of-00014.safetensors",
"model-00004-of-00014.safetensors",
"model-00005-of-00014.safetensors... | 97e936a2ec60bb31787a2428e1de49e32c213965 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"custom_code",
"en",
"dataset:OpenAssistant/oasst1",
"dataset:shahules786/orca-best",
"license:llama2",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "auto_map": {"AutoConfig": "configuration_llama.LlamaConfig", "AutoModel": "modeling_llama.LlamaModel", "AutoModelForCausalLM": "modeling_llama.LlamaForCausalLM", "AutoModelForSequenceClassification": "modeling_llama.LlamaForSequenceClassification"}, "model_type": "llama", "token... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["OpenAssistant/oasst1", "shahules786/orca-best"], "eval_results": null, "language": ["en"], "library_name": null, "license": "llama2", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # Open-Assistant CodeLlama 13B SFT v10
This model is an Open-Assistant fine-tuning of Meta's CodeLlama 13B LLM.
**Note**: Due to the new RoPE Theta value (1e6 instead of 1e4), for correct results you must load this model with `trust_remote_code=True` or use the latest main branch of Huggingface transformers (until ve... | null | [
"llama2"
] | [
"OpenAssistant/oasst1",
"shahules786/orca-best"
] | [
"en"
] | 13,016,192,000 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
645eb3cb6d343f4bb614c8f5 | 30094a1eabdbef67 | db117e9883c4d0ab | 50,257 | BPE | 50,000 | false | true | true | true | 1 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 4 | roneneldan/TinyStories-3M | roneneldan | null | 1,908 | 116,182 | False | 2023-05-12T21:46:51Z | 2023-05-17T22:11:46Z | transformers | 3 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"readme.md",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | cfaf26ec85ecdfc1bd7c2638104cce55cb67f894 | [
"transformers",
"pytorch",
"gpt_neo",
"text-generation",
"arxiv:2305.07759",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPTNeoForCausalLM"], "model_type": "gpt_neo", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<|endoftext|>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "<|endoftext|>", "lstrip": false, "normal... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | EXAMPLE USAGE ---
from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
model = AutoModelForCausalLM.from_pretrained('roneneldan/TinyStories-3M')
tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neo-125M")
prompt = "Once upon a time there was"
input_ids = tokenizer.encode(prompt, ... | null | null | null | null | null | null | null | [
"gpt_neo",
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] | [
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62721f09f99b77f8d73e9911 | d82c716f01e57f52 | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
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] | b6b8ae0552c7d5cc2502a2cd8e768b4a368abac4 | [
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] | null | {"architectures": ["RobertaModel"], "model_type": "roberta", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": "<mask>"}} | {
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This model is provided here for [this repo](https://github.com/AryanShekarlaban/data2vec-pytorch) but was NOT trained using that co... | null | null | null | [
"en"
] | 124,646,146 | null | null | [
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] | [
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"models": [
{
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},
{
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],
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} | 54,732 | 323,492 | False | 2025-08-25T16:38:37Z | 2025-08-29T17:59:02Z | transformers | 83 | 0 | null | image-text-to-text | {"parameters": {"BF16": 21232768704}, "total": 392282304} | [
".gitattributes",
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"auto_model": "AutoModel",
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} | {"base_model": ["OpenGVLab/InternViT-300M-448px-V2_5", "openai/gpt-oss-20b"], "datasets": ["OpenGVLab/MMPR-v1.2", "OpenGVLab/MMPR-Tiny"], "eval_results": null, "language": ["multilingual"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name"... | # InternVL3_5-GPT-OSS-20B-A4B-Preview
[\[📂 GitHub\]](https://github.com/OpenGVLab/InternVL) [\[📜 InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[📜 InternVL 1.5\]](https://huggingface.co/papers/2404.16821) [\[📜 InternVL 2.5\]](https://huggingface.co/papers/2412.05271) [\[📜 InternVL2.5-MPO\]](https... | null | [
"apache-2.0"
] | [
"OpenGVLab/MMPR-v1.2",
"OpenGVLab/MMPR-Tiny"
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] | 392,282,304 | null | null | [
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"InternVLChatModel",
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"image-text-to-text",
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] | [
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"models": [
{
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}
],
"relation": "finetune"
} | 17 | 106,523 | False | 2023-05-31T08:17:45Z | 2023-09-13T09:34:59Z | transformers | 8 | 0 | [{"name": "banking-intent-distilbert-classifier", "results": []}] | text-classification | {"parameters": {"F32": 67012685}, "total": 67012685} | [
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"license:apache-2... | null | {"architectures": ["DistilBertForSequenceClassification"], "model_type": "distilbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
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} | {"base_model": "distilbert-base-uncased", "datasets": ["banking77"], "eval_results": [], "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["accuracy"], "model_name": "banking-intent-distilbert-classifier", "pipeline_tag": "text-classification", "t... | <!-- 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. -->
# banking-intent-distilbert-classifier
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/disti... | null | [
"apache-2.0"
] | [
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] | [
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] | [
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] | [
"text"
] | [
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".gitattributes",
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} | null | null | null | null | null | null | null | null | null | [
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"unknown"
] | null | null | 3,382,080 | null | null | [
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"ByteLevel"
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"models": [
{
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"id": "openai/whisper-tiny"
}
],
"relation": "quantized"
} | 11 | 106,354 | False | 2024-01-08T21:59:04Z | 2024-01-27T14:40:53Z | transformers | 2 | 0 | null | automatic-speech-recognition | {"parameters": {"F32": 37760640}, "total": 37760640} | [
".gitattributes",
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"model... | b84349dbf873a22a1283d3c295fbfb8b6b450635 | [
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"auto_model": "AutoModelForSpeechSeq2Seq",
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"pipeline_tag": "automatic-speech-recognition",
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} | {"base_model": "openai/whisper-tiny", "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"], "model_name": null, "pipeli... | # Finetuned Verbatim model.
This model is trained 200 additional steps on top of the model below. This makes it outputting only text in lowercase and without punctation. It is also considerably more verbatim, and will not make any attempt at correcting grammatical errors in the text
# NB-Whisper Tiny Verbatim (Relea... | null | [
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] | [
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] | [
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67a43075d5efcf9d9405b023 | 848b60b6cd304b65 | ffc911e785abe60e | 151,665 | BPE | 151,387 | true | true | true | true | 22 | NFC | Sequence | ByteLevel | [
"NFC"
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"Split",
"ByteLevel"
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"ByteLevel"
] | 15 | unsloth/Qwen2.5-3B-unsloth-bnb-4bit | unsloth | {
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],
"relation": "quantized"
} | 11,134 | 128,618 | False | 2025-02-06T03:45:57Z | 2025-04-28T04:13:54Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"F32": 213168, "BF16": 649572352, "U8": 2512584288}, "total": 3162369808} | [
".gitattributes",
"README.md",
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"merges.txt",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | bfd4e8ddd05f202ad73846c43220fd012fabe345 | [
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"license:apac... | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "quantization_config": {"load_in_4bit": true, "load_in_8bit": false, "quant_method": "bitsandbytes"}, "tokenizer_config": {"bos_token": null, "eos_token": "<|endoftext|>", "pad_token": "<|vision_pad|>", "unk_token": null}} | {
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<p style="margin-bottom: 0;">
<strong>See <a href="https://huggingface.co/collections/unsloth/qwen-25-66fe4c08fb9ada518e8a0d3f">our collection</a> for versions of Qwen2.5 including 4-bit formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em>Unsloth's <a href="https://unsloth.ai/blog/dynamic-... | null | [
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] | 3,162,369,808 | null | null | [
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] | 927 | tencent/HunyuanImage-3.0 | tencent | null | 115,866 | 1,064,280 | False | 2025-09-25T06:28:28Z | 2026-01-28T08:14:42Z | transformers | 656 | 4 | null | text-to-image | null | [
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] | null | null | null | null | null | [
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"Replace",
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"... | bc6e63fd26a654ee42dba737a553310bfa01dc5d | [
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<a href="https://github.com/01-ai">🐙 GitHub</a> •
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