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}
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} | 1,011 | 118,053 | False | 2025-10-05T03:31:35Z | 2025-12-15T07:49:39Z | transformers | 84 | 0 | null | image-text-to-text | {"parameters": {"BF16": 31070754032}, "total": 31070754032} | [
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"endpoints_compatible",
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] | null | {"architectures": ["Qwen3VLMoeForConditionalGeneration"], "model_type": "qwen3_vl_moe", "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {%- if messages[0].content is string %}\n {{- messages[0].... | {
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} | {"base_model": ["Qwen/Qwen3-VL-30B-A3B-Instruct"], "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": ["abliterated", "uncensored... | null | null | [
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"qwen3_vl_moe",
"Qwen3VLMoeForConditionalGeneration"
] | [
"image-text-to-text"
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"multimodal"
] | [
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] | [
"text"
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"Prepend",
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"Replace",
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"Fuse",
"Strip"
] | 46 | nm-testing/tinyllama-oneshot-w4a16-group128-v2 | nm-testing | null | 1,535 | 84,788 | False | 2024-06-07T19:23:49Z | 2024-10-09T19:59:11Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"I64": 308, "I32": 121110528, "F16": 138733568}, "total": 259844404} | [
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"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 9315c45f901a5635ced0d71be25e5ee96d7cf49e | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"compressed-tensors",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"quant_method": "compressed-tensors"}, "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | 259,844,404 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65f9580a136fb8ddbd15ccf6 | 56952368736ecd18 | 14beb3856350acc6 | 48,000 | BPE | 80,520 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 1,032 | Rakuten/RakutenAI-7B-instruct | Rakuten | {
"models": [
{
"_id": "65f7e308bbd76dece589c72e",
"id": "Rakuten/RakutenAI-7B"
}
],
"relation": "finetune"
} | 284 | 82,919 | False | 2024-03-19T09:16:58Z | 2025-02-10T07:24:59Z | transformers | 50 | 1 | null | text-generation | {"parameters": {"BF16": 7372804096}, "total": 7372804096} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
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"pytorch_model-00001-of-00002.bin",
"pytorch_model-00002-of-00002.bin",
"pytorch_model.bin.index.js... | eb48a29043cda2dba50c088556f0ee411badcf2e | [
"transformers",
"pytorch",
"safetensors",
"mistral",
"text-generation",
"en",
"ja",
"arxiv:2403.15484",
"base_model:Rakuten/RakutenAI-7B",
"base_model:finetune:Rakuten/RakutenAI-7B",
"license:apache-2.0",
"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": "</s>", "unk_token": "<unk>", "use_default_system_prompt": true}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["Rakuten/RakutenAI-7B"], "datasets": null, "eval_results": null, "language": ["en", "ja"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # RakutenAI-7B-instruct
## Model Description
RakutenAI-7B is a systematic initiative that brings the latest technologies to the world of Japanese LLMs. RakutenAI-7B achieves the best scores on the Japanese language understanding benchmarks while maintaining a competitive performance on the English test sets among simil... | null | [
"apache-2.0"
] | null | [
"en",
"ja"
] | 7,372,804,096 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6701286c4dbcde622d16381d | d0082d9c422f1c41 | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | false | true | true | true | 3 | null | Metaspace | Sequence | null | [
"Metaspace"
] | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 35 | hugging-quants/Mixtral-8x7B-Instruct-v0.1-AWQ-INT4 | hugging-quants | null | 5,098 | 107,435 | False | 2024-10-05T11:52:12Z | 2024-10-07T06:59:00Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"I32": 46439333888, "F16": 263458816}, "total": 46702792704} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
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"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... | e4d374d69f6ed62fc68c43606016803564778a7a | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"autoawq",
"conversational",
"fr",
"it",
"de",
"es",
"en",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"4-bit",
"awq",
"deploy:azure",
"region:us"
] | null | {"architectures": ["MixtralForCausalLM"], "model_type": "mixtral", "quantization_config": {"bits": 4, "quant_method": "awq"}, "tokenizer_config": {"bos_token": "<s>", "chat_template": "{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content'] %}\n {%- set loop_messages = messages... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["fr", "it", "de", "es", "en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["mixtral", "autoawq"]} | > [!IMPORTANT]
> This repository is a community-driven quantized version of the original model [`mistralai/Mixtral-8x7B-Instruct-v0.1`](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) which is the BF16 half-precision official version released by Mistral AI.
## Model Information
The Mixtral-8x7B Large Lan... | null | [
"apache-2.0"
] | null | [
"fr",
"it",
"de",
"es",
"en"
] | 46,702,792,704 | null | null | [
"mixtral",
"MixtralForCausalLM",
"AutoModelForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
661cbd56e9de988c87f519b2 | 603b9ac77f98166f | 80649b1a3daf2f78 | 92,302 | BPE | 112,005 | true | false | false | true | 1,393 | Sequence | null | Sequence | [
"NFC",
"Replace"
] | null | [
"Replace",
"ByteFallback"
] | 567 | Qwen/CodeQwen1.5-7B | Qwen | null | 817 | 85,567 | False | 2024-04-15T05:38:30Z | 2024-05-13T07:15:25Z | transformers | 103 | 0 | null | text-generation | {"parameters": {"BF16": 7250284544}, "total": 7250284544} | [
".gitattributes",
"LICENSE",
"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",
"tokenizer.json",
"tokenizer.model"... | 5ce5a1554e50a9e3bb236de7c0b8a2a1746186e4 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"pretrained",
"en",
"arxiv:2309.16609",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "pad_token": "<fim_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": ["en"], "library_name": null, "license": "other", "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/CodeQwen1.5-7B/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "t... | # CodeQwen1.5-7B
## Introduction
CodeQwen1.5 is the Code-Specific version of Qwen1.5. It is a transformer-based decoder-only language model pretrained on a large amount of data of codes.
* Strong code generation capabilities and competitve performance across a series of benchmarks;
* Supporting long context unders... | null | [
"other",
"tongyi-qianwen-research",
"https://huggingface.co/Qwen/CodeQwen1.5-7B/blob/main/LICENSE"
] | null | [
"en"
] | 7,250,284,544 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
660132c9a966a1c8b6d6eecd | 88cd37e502d27a0a | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 88 | davidkim205/iris-7b | davidkim205 | null | 24 | 80,599 | False | 2024-03-25T08:16:09Z | 2024-04-04T09:01:24Z | transformers | 13 | 0 | null | translation | {"parameters": {"BF16": 7241732096}, "total": 7241732096} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00003.safetensors",
"model-00002-of-00003.safetensors",
"model-00003-of-00003.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 23880bf28b6730b2947b137608a34e0a9b3e4952 | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"finetuned",
"translation",
"en",
"ko",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...'... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en", "ko"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "translation", "tags": ["finetuned"], "inference": true, "widget": [{"messages"... | # iris
Iris is a model for Korean-English sentence translation based on deep learning.
It is used to translate Korean sentences into English or English sentences into Korean by utilizing advanced... | null | [
"apache-2.0"
] | null | [
"en",
"ko"
] | 7,241,732,096 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"translation",
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
63a8571129ebe611bc73fc14 | 5afd7d59d2aa5e01 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 125 | q3fer/distilbert-base-fallacy-classification | q3fer | null | 8,339 | 90,515 | False | 2022-12-25T13:58:41Z | 2022-12-25T16:05:27Z | transformers | 11 | 0 | null | text-classification | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json"
] | cdc7eb20e7539e94d9ecb54384e8ed6d7268dfc3 | [
"transformers",
"pytorch",
"tf",
"distilbert",
"text-classification",
"eng",
"license:mit",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DistilBertForSequenceClassification"], "model_type": "distilbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": "eng", "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null, "dataset": "Logical Fallacy Dataset"} | # distilbert-base-fallacy-classification
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the [Logical Fallacy Dataset](https://github.com/causalNLP/logical-fallacy).
## Model description
The model is fine-tuned for text classification of logical fall... | null | [
"mit"
] | null | [
"eng"
] | null | null | null | [
"DistilBertForSequenceClassification",
"distilbert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
64d3ac24bcab89854afe8215 | 46874ac0bd0e2129 | ade5e378ce727196 | 32,001 | BPE | 61,249 | true | false | true | true | 4 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 617 | TheBloke/WizardLM-70B-V1.0-GPTQ | TheBloke | {
"models": [
{
"_id": "64d3237f80f189e40bd7810e",
"id": "WizardLMTeam/WizardLM-70B-V1.0"
}
],
"relation": "quantized"
} | 2,665 | 86,817 | False | 2023-08-09T15:09:24Z | 2023-09-27T12:45:34Z | transformers | 37 | 0 | null | text-generation | {"parameters": {"I32": 68451041280, "F16": 532340736}, "total": 68983382016} | [
".gitattributes",
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"Notice",
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"USE_POLICY.md",
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"quantize_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | af6b8708e198e90632bcff24f9a47a24217e8945 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:2304.12244",
"arxiv:2306.08568",
"arxiv:2308.09583",
"base_model:WizardLMTeam/WizardLM-70B-V1.0",
"base_model:quantized:WizardLMTeam/WizardLM-70B-V1.0",
"license:llama2",
"text-generation-inference",
"4-bit",
"gptq",
"deploy... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"bits": 4, "quant_method": "gptq"}, "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<s>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "con... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "WizardLM/WizardLM-70B-V1.0", "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "llama2", "license_name": null, "license_link": null, "metrics": null, "model_name": "WizardLM 70B V1.0", "pipeline_tag": null, "tags": null, "inference": false, "model_creator": "Wiza... | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<d... | null | [
"llama2"
] | null | null | 68,983,382,016 | null | null | [
"AutoModelForCausalLM",
"llama",
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**We believe there's no need to pay a token if you have a GPU on your computer.**
Highlighting new and noteworthy models from the community. Join the conversation on Discord.
<p align="center">
<a href="https://osllm.ai">Official Website</a> • <a href="https://docs.osll... | null | [
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This model is part of the CroissantLLM initiative, and corresponds to the checkpoint after 190k steps (2.99 T) tokens and a final Chat finetuning phase.
https://arxiv.org/abs/2402.00786
For best performance, it should be used with a temperature of 0.3 or more, and with the exac... | null | [
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**License**: Apache-2.0
**Languages**: Primarily English
**Architecture**: The model architecture is a replica of Meta’s Llama2-7B base variant with MHA, trained with 1M batch size on 2T tokens.
**Context Length**: 4k tokens
**Tokenizer**: Llama2
**Model Developers**: IBM Research
... | null | [
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Twitter Sentiment PL (base) is a model based on [herbert-base](https://huggingface.co/allegro/herbert-base-cased) for analyzing sentiment of Polish twitter posts. It was trained on the translated version of [TweetEval](https://www.researchgate.net/publication/347233661_TweetEval_Unified_B... | null | null | [
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} | 31 | 80,209 | False | 2024-04-03T11:21:29Z | 2024-04-08T02:06:29Z | transformers | 2 | 0 | null | text-generation | {"parameters": {"BF16": 8537680896}, "total": 8537680896} | [
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# Gemma Ko 7B Instruct v0.62
- Eval Loss: `1.2946`
- Train Loss: `1.1717`
- lr: `2e-5`
- optimizer: adamw
- lr_scheduler_type: cosine
## Model Details
### Model Description
The Gemma Ko 7B Inst... | null | [
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"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "microsoft/Phi-3.5-mini-instruct", "datasets": ["ReDiX/DataForge"], "eval_results": null, "language": ["it", "en"], "library_name": "transformers", "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["trl", "conver... | <img src="artemide.png" style="width: 500px; height:500px;"/>
# 🇮🇹 Artemide (/arˈtɛmide/) 3.5
This model is a finetuned version of [Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) on the [ReDiX/DataForge](https://huggingface.co/ReDiX/DataForge) dataset.
The dataset is a mixture of hig... | null | [
"mit"
] | [
"ReDiX/DataForge"
] | [
"it",
"en"
] | 3,821,079,552 | null | null | [
"AutoModelForCausalLM",
"phi3",
"Phi3ForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67d37b5fe07f664c73272c9d | 2fd81bd9cd7dfb60 | 1b54110df6c0848b | 128,815 | BPE | 127,741 | true | true | true | true | 818 | Sequence | Sequence | ByteLevel | [] | [
"Split",
"Split",
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 1,035 | hyper-accel/deepseekv3-export-test | hyper-accel | {
"models": [
{
"_id": "676c000762cee1f3abc3ed5f",
"id": "deepseek-ai/DeepSeek-V3"
}
],
"relation": "finetune"
} | 13 | 167,254 | False | 2025-03-14T00:42:07Z | 2025-03-14T01:08:05Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"BF16": 1049548096}, "total": 1049548096} | [
".gitattributes",
"README.md",
"config.json",
"configuration_deepseek.py",
"generation_config.json",
"model.safetensors",
"modeling_deepseek.py",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 017020e897f9655b17299ed2ef891363c9b7a2bd | [
"transformers",
"safetensors",
"deepseek_v3",
"text-generation",
"conversational",
"custom_code",
"base_model:deepseek-ai/DeepSeek-V3",
"base_model:finetune:deepseek-ai/DeepSeek-V3",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DeepseekV3ForCausalLM"], "auto_map": {"AutoConfig": "configuration_deepseek.DeepseekV3Config", "AutoModel": "modeling_deepseek.DeepseekV3Model", "AutoModelForCausalLM": "modeling_deepseek.DeepseekV3ForCausalLM"}, "model_type": "deepseek_v3", "tokenizer_config": {"bos_token": "<\uff5cbegin\u2581of\u2... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["deepseek-ai/DeepSeek-V3"], "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": null} | # DeepSeek V3 1B Test
This model is randomly initialized for testing implementations, it's **not** a trained model and it will only generate random tokens. | null | [
"mit"
] | null | null | 1,049,548,096 | null | null | [
"AutoModelForCausalLM",
"deepseek_v3",
"DeepseekV3ForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
630cdffb81ef9b1772af2735 | 8a8c94e1a59f5186 | ef4806e2ade9022f | 32,100 | Unigram | null | true | true | true | true | 103 | Precompiled | Sequence | Metaspace | [
"Precompiled"
] | [
"WhitespaceSplit",
"Metaspace"
] | [
"Metaspace"
] | 11 | echarlaix/t5-small-openvino | echarlaix | null | 3,146 | 96,428 | False | 2022-08-29T15:49:15Z | 2023-01-03T14:58:52Z | transformers | 4 | 0 | null | translation | null | [
".gitattributes",
"README.md",
"config.json",
"openvino_decoder_model.bin",
"openvino_decoder_model.xml",
"openvino_decoder_with_past_model.bin",
"openvino_decoder_with_past_model.xml",
"openvino_encoder_model.bin",
"openvino_encoder_model.xml",
"special_tokens_map.json",
"spiece.model",
"toke... | 47ee35f4310c776e663da322860398ae63305179 | [
"transformers",
"openvino",
"t5",
"text2text-generation",
"summarization",
"translation",
"en",
"fr",
"ro",
"de",
"dataset:c4",
"arxiv:1910.10683",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["T5ForConditionalGeneration"], "model_type": "t5", "tokenizer_config": {"eos_token": "</s>", "pad_token": "<pad>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["c4"], "eval_results": null, "language": ["en", "fr", "ro", "de"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["summarization", "translation", "openvino"]} | ## [t5-small](https://huggingface.co/t5-small) exported to the OpenVINO IR.
## Model description
[T5](https://huggingface.co/docs/transformers/model_doc/t5#t5) is an encoder-decoder model pre-trained on a multi-task mixture of unsupervised and supervised tasks and for which each task is converted into a text-to-text ... | null | [
"apache-2.0"
] | [
"c4"
] | [
"en",
"fr",
"ro",
"de"
] | null | null | null | [
"t5",
"T5ForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation",
"translation",
"summarization"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67cdbe0ecc4c3f8e80e5754d | 848b60b6cd304b65 | ffc911e785abe60e | 151,665 | BPE | 151,387 | true | true | true | true | 22 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 15 | tsystems/colqwen2.5-3b-base | tsystems | {
"models": [
{
"_id": "6795ff8f7534713f94918fc5",
"id": "Qwen/Qwen2.5-VL-3B-Instruct"
}
],
"relation": "finetune"
} | 1,821 | 95,092 | False | 2025-03-09T16:13:02Z | 2025-03-09T17:17:27Z | transformers | 0 | 0 | null | null | {"parameters": {"BF16": 3754885248}, "total": 3754885248} | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.json",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"preprocessor_config.json",
"processor_config.json",
"speci... | 355d4a3a84c21053795571f20a50e7fbd7c53994 | [
"transformers",
"safetensors",
"qwen2_5_vl",
"en",
"arxiv:2004.12832",
"arxiv:2407.01449",
"base_model:Qwen/Qwen2.5-VL-3B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-3B-Instruct",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["ColQwen2_5"], "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 helpful assistant.<|im_en... | {
"auto_model": "ColQwen2_5",
"custom_class": null,
"pipeline_tag": null,
"processor": "AutoProcessor"
} | {"base_model": ["Qwen/Qwen2.5-VL-3B-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": null, "tags": null} | # ColQwen2.5-3b: Visual Retriever based on Qwen2.5-VL-3B-Instruct with ColBERT strategy
ColQwen is a model based on a novel model architecture and training strategy based on Vision Language Models (VLMs) to efficiently index documents from their visual features.
It is a [Qwen2.5-VL-3B](https://huggingface.co/Qwen/Qwen... | null | [
"apache-2.0"
] | null | [
"en"
] | 3,754,885,248 | null | null | [
"qwen2_5_vl",
"ColQwen2_5"
] | [
null
] | null | null | null |
6699539654729d168a2febd8 | 21feada71fab2765 | 12ebeebff692ebb1 | 131,072 | BPE | 269,443 | false | true | true | true | 1,000 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 245 | unsloth/Mistral-Nemo-Base-2407-bnb-4bit | unsloth | null | 3,711 | 96,000 | False | 2024-07-18T17:40:38Z | 2025-02-02T05:45:50Z | transformers | 15 | 0 | null | text-generation | {"parameters": {"F32": 741760, "BF16": 1342592000, "U8": 11246074472}, "total": 12589408232} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tekken.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | bd6c9b74fd3df968742da38027dfa4ce4024ac0b | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"unsloth",
"en",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"4-bit",
"bitsandbytes",
"deploy:azure",
"region:us"
] | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "quantization_config": {"load_in_4bit": true, "load_in_8bit": false, "quant_method": "bitsandbytes"}, "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": "<pad>", "unk_token": "<unk>"}} | {
"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": ["mistral", "unsloth", "transformers"]} | # Finetune Llama 3.1, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth!
We have a free Google Colab Tesla T4 notebook for Mistral Nemo 12b here: https://colab.research.google.com/drive/17d3U-CAIwzmbDRqbZ9NnpHxCkmXB6LZ0?usp=sharing
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images... | null | [
"apache-2.0"
] | null | [
"en"
] | 12,589,408,232 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
666614457c3cf88e8b64be93 | f5e7f943c396c76b | ddde944c7b357600 | 32,011 | BPE | 61,249 | true | false | true | true | 14 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 52 | VAGOsolutions/SauerkrautLM-Phi-3-medium | VAGOsolutions | null | 8,305 | 120,462 | False | 2024-06-09T20:44:53Z | 2024-07-12T15:36:49Z | transformers | 9 | 0 | null | text-generation | {"parameters": {"BF16": 13960238080}, "total": 13960238080} | [
".gitattributes",
"README.md",
"config.json",
"model-00001-of-00006.safetensors",
"model-00002-of-00006.safetensors",
"model-00003-of-00006.safetensors",
"model-00004-of-00006.safetensors",
"model-00005-of-00006.safetensors",
"model-00006-of-00006.safetensors",
"model.safetensors.index.json",
"s... | 14c8e34288d9ea6386826c17388d5ce200b88080 | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"de",
"en",
"license:mit",
"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'] == 'user') %}{{'<|user|>' + '\n' + message['content'] + '<|end|>' + '\n' + '<|assistant|>' + '\n'}}{% elif (message['role'] == 'assistant') %}... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["de", "en"], "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | 
## VAGO solutions SauerkrautLM-Phi-3-medium
Introducing **SauerkrautLM-Phi-3-medium** – our Sauerkraut version of the powerful [unsloth/Phi-3-medium-4k-instruct](https://huggingfac... | null | [
"mit"
] | null | [
"de",
"en"
] | 13,960,238,080 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
673d33f3a8d0598137a34173 | 3a732ab237c338af | c21f0239d1cf0f86 | 65,024 | BPE | 64,784 | false | true | false | true | 12 | null | Sequence | ByteLevel | null | [
"Punctuation",
"ByteLevel",
"Digits",
"Split"
] | [
"ByteLevel"
] | 45 | Intel/tiny-random-falcon | Intel | null | 1,509 | 89,933 | False | 2024-11-20T00:57:23Z | 2025-09-08T08:19:35Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"F32": 8553216}, "total": 8553216} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 8a98c7a05352da90727c95de3c705b909b0bd6ce | [
"transformers",
"safetensors",
"falcon",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["FalconForCausalLM"], "model_type": "falcon", "tokenizer_config": {"eos_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": 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
This is a tiny random Falcon model derived from "tiiuae/falcon-7b-instruct".
This is useful for functional testing (not quality generation, since its weights are random) on [optimum-intel](https://github.com/huggingface/optimum-intel/blob/main/tests/ipex/utils_tests.py) | null | null | null | null | 8,553,216 | null | null | [
"AutoModelForCausalLM",
"falcon",
"FalconForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65c3b0f09d062be813615e58 | a4847b8b78a0cf38 | ea78947c08b9a5f2 | 43,884 | BPE | 79,320 | true | false | true | true | 5 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 1,036 | eryk-mazus/polka-1.1b-chat | eryk-mazus | null | 1,363 | 84,561 | False | 2024-02-07T16:33:52Z | 2024-09-20T09:57:46Z | transformers | 19 | 0 | null | text-generation | {"parameters": {"F32": 1148807168}, "total": 1148807168} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 537fe40b374ebbb48d1c9bf8d8d2491faed9787f | [
"transformers",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"conversational",
"polish",
"pl",
"dataset:eryk-mazus/polka-dpo-v1",
"arxiv:2305.18290",
"license:mit",
"text-generation-inference",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = 'Je... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["eryk-mazus/polka-dpo-v1"], "eval_results": null, "language": ["pl"], "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["generated_from_trainer", "conversational", "polish... | 
# Polka-1.1B-Chat
`eryk-mazus/polka-1.1b-chat` **is the first polish model trained to act as a helpful, conversational assistant that can be run locally.**
The model is based on [TinyLlama-1.1B](htt... | null | [
"mit"
] | [
"eryk-mazus/polka-dpo-v1"
] | [
"pl"
] | 1,148,807,168 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65436cd09698c3b984d1208b | a8494991189ef0b1 | 0e4a6f76168da02d | 57,226 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 1,018 | Seznam/simcse-dist-mpnet-paracrawl-cs-en | Seznam | null | 11,280 | 92,333 | False | 2023-11-02T09:33:04Z | 2023-11-02T21:09:38Z | transformers | 3 | 0 | null | sentence-similarity | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 9d379f864f29ede6a76167632ac1366efe0119be | [
"transformers",
"pytorch",
"bert",
"feature-extraction",
"sentence-similarity",
"cs",
"en",
"arxiv:2104.08821",
"license:cc-by-4.0",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertModel"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["cs", "en"], "library_name": null, "license": "cc-by-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "sentence-similarity", "tags": null} | ## SimCSE
SimCSE-DistMPNet-Paracrawl is the [Seznam/dist-mpnet-paracrawl-cs-en](https://huggingface.co/Seznam/dist-mpnet-paracrawl-cs-en) model fine-tuned with the [SimCSE](https://arxiv.org/abs/2104.08821) objective.
This model was created at Seznam.cz as part of a project to create high-quality small Czech semantic... | null | [
"cc-by-4.0"
] | null | [
"cs",
"en"
] | null | null | null | [
"BertModel",
"AutoModel",
"bert"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
669e55afb5aa6ec3f98baf66 | 6e6a83dc4b556c95 | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 111 | princeton-nlp/Llama-3-8B-ProLong-64k-Base | princeton-nlp | {
"models": [
{
"_id": "661f97d0b00f5f1f620c4f25",
"id": "meta-llama/Meta-Llama-3-8B-Instruct"
}
],
"relation": "finetune"
} | 7,868 | 118,553 | False | 2024-07-22T12:50:55Z | 2024-10-31T13:01:35Z | transformers | 5 | 0 | null | text-generation | {"parameters": {"F32": 8030261248}, "total": 8030261248} | [
".gitattributes",
"README.md",
"config.json",
"model-00001-of-00007.safetensors",
"model-00002-of-00007.safetensors",
"model-00003-of-00007.safetensors",
"model-00004-of-00007.safetensors",
"model-00005-of-00007.safetensors",
"model-00006-of-00007.safetensors",
"model-00007-of-00007.safetensors",
... | ee4b1380059c70aaeab703934ca669f368cc7905 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"dataset:princeton-nlp/prolong-data-64K",
"arxiv:2410.02660",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"base_model:finetune:meta-llama/Meta-Llama-3-8B-Instruct",
"license:llama3",
"text-generation-inference",
... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|e... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["meta-llama/Meta-Llama-3-8B-Instruct"], "datasets": ["princeton-nlp/prolong-data-64K"], "eval_results": null, "language": null, "library_name": null, "license": "llama3", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # princeton_nlp/Llama-3-8B-ProLong-64k-Base
[[Paper](https://arxiv.org/pdf/2410.02660)] [[HF Collection](https://huggingface.co/collections/princeton-nlp/prolong-66c72d55d2051a86ac7bd7e4)] [[Code](https://github.com/princeton-nlp/ProLong)]
**ProLong** (<u>Pr</u>incet<u>o</u>n <u>long</u>-context language models) is ... | null | [
"llama3"
] | [
"princeton-nlp/prolong-data-64K"
] | null | 8,030,261,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6868f7641b3753cfe418bcfe | 46323c0f61df476d | 1fe366e13272caa0 | 262,145 | BPE | 514,906 | true | true | true | true | 6,415 | Replace | Split | Sequence | [
"Replace"
] | [
"Split"
] | [
"Replace",
"ByteFallback",
"Fuse"
] | 49 | m8than/gemma-3-12b-it-lenientchatfix | m8than | {
"models": [
{
"_id": "67c35bd50e998b1f7c4d3139",
"id": "google/gemma-3-12b-pt"
}
],
"relation": "finetune"
} | 957 | 155,917 | False | 2025-07-05T09:59:00Z | 2025-07-05T10:03:58Z | transformers | 1 | 0 | null | image-text-to-text | {"parameters": {"BF16": 12187325040}, "total": 12187325040} | [
".gitattributes",
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"model-00005... | f88a6496a5fd16f62ad047215c8c7215e9a543c5 | [
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"arxi... | null | {"architectures": ["Gemma3ForConditionalGeneration"], "model_type": "gemma3", "processor_config": {"chat_template": "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n {%- if messages[0]['content'] is string -%}\n {%- set first_user_prefix = messages[0]['content'] + '\n\n' -%}\n {%- else -%}\n ... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": "google/gemma-3-12b-pt", "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "gemma", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "image-text-to-text", "tags": null, "extra_gated_heading": "Access Gemma ... | null | null | [
"gemma"
] | null | null | 12,187,325,040 | null | null | [
"AutoModelForImageTextToText",
"Gemma3ForConditionalGeneration",
"gemma3"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
6635dffa5eedec13fc3d2730 | 88cd37e502d27a0a | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 88 | chujiezheng/Mistral7B-PairRM-SPPO-ExPO | chujiezheng | null | 8,303 | 120,285 | False | 2024-05-04T07:12:58Z | 2024-09-23T10:12:56Z | transformers | 0 | 0 | [{"name": "Mistral7B-PairRM-SPPO-ExPO", "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": 36.73, "name": "str... | text-generation | {"parameters": {"BF16": 7241732096}, "total": 7241732096} | [
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"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.... | 90d1dc0e7ff94aced1d02466034986f75ebcc0f2 | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"en",
"arxiv:2404.16792",
"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": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...'... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"language": ["en"], "license": "apache-2.0", "model-index": [{"name": "Mistral7B-PairRM-SPPO-ExPO", "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_a... | # Mistral7B-PairRM-SPPO-ExPO
The extrapolated (ExPO) model based on [`UCLA-AGI/Mistral7B-PairRM-SPPO`](https://huggingface.co/UCLA-AGI/Mistral7B-PairRM-SPPO) and [`mistralai/Mistral-7B-Instruct-v0.2`](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2), as in the "[Weak-to-Strong Extrapolation Expedites Alignme... | null | [
"apache-2.0"
] | null | [
"en"
] | 7,241,732,096 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
643d8b44e951e76f9a766b47 | 58967ba68263f0aa | 2f8d5857ae5fa330 | 50,277 | BPE | 50,009 | true | true | true | true | 25 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 86 | h2oai/h2ogpt-oig-oasst1-256-6_9b | h2oai | null | 883 | 84,466 | False | 2023-04-17T18:09:08Z | 2023-06-02T22:36:04Z | transformers | 5 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"h2oai_pipeline.py",
"pythia-6.9b.h2ogpt-oig-oasst1-instruct-cleaned-v1.json.1_epochs.5fc91911bc2bfaaf3b6c2de577c4b0ae45a07a4a.9.zip",
"pytorch_model-00001-of-00003.bin",
"pytorch_model-00002-of-00003.bin",
"pytorch_model-00003-... | f1c9bac89b74d3487cb092788ce828fb9520c1a7 | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"gpt",
"llm",
"large language model",
"open-source",
"en",
"dataset:h2oai/h2ogpt-oig-oasst1-instruct-cleaned-v1",
"license:apache-2.0",
"text-generation-inference",
"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": ["h2oai/h2ogpt-oig-oasst1-instruct-cleaned-v1"], "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": ["gpt", "llm", "large langua... | # h2oGPT Model Card
## Summary
H2O.ai's `h2ogpt-oig-oasst1-256-6_9b` is a 6.9 billion parameter instruction-following large language model licensed for commercial use.
- Base model: [EleutherAI/pythia-6.9b](https://huggingface.co/EleutherAI/pythia-6.9b)
- Fine-tuning dataset: [h2oai/h2ogpt-oig-oasst1-instruct-cleaned... | null | [
"apache-2.0"
] | [
"h2oai/h2ogpt-oig-oasst1-instruct-cleaned-v1"
] | [
"en"
] | null | null | null | [
"gpt_neox",
"AutoModelForCausalLM",
"GPTNeoXForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc136468d709f17d85e | 84e1c3e53fa9ceae | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 1,037 | linydub/bart-large-samsum | linydub | null | 65 | 80,569 | False | 2022-03-02T23:29:05Z | 2021-09-17T00:55:29Z | transformers | 16 | 0 | [{"name": "bart-large-samsum", "results": [{"task": {"name": "Abstractive Text Summarization", "type": "abstractive-text-summarization"}, "dataset": {"name": "SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization", "type": "samsum"}, "metrics": [{"name": "Validation ROGUE-1", "type": "rouge-1"... | summarization | null | [
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"runs/events.out.tfevent... | 5d32c801b99d8605a10ac38ddcaa6a186d81fcae | [
"transformers",
"pytorch",
"tensorboard",
"bart",
"text2text-generation",
"summarization",
"azureml",
"azure",
"codecarbon",
"en",
"dataset:samsum",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BartForConditionalGeneration"], "model_type": "bart", "tokenizer_config": {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>"}} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | {"datasets": ["samsum"], "language": ["en"], "license": "apache-2.0", "metrics": ["rouge"], "tags": ["summarization", "azureml", "azure", "codecarbon", "bart"], "widget": [{"text": "Henry: Hey, is Nate coming over to watch the movie tonight?\nKevin: Yea, he said he'll be arriving a bit later at around 7 since he gets o... | ## `bart-large-samsum`
This model was trained using Microsoft's [`Azure Machine Learning Service`](https://azure.microsoft.com/en-us/services/machine-learning). It was fine-tuned on the [`samsum`](https://huggingface.co/datasets/samsum) corpus from [`facebook/bart-large`](https://huggingface.co/facebook/bart-large) che... | null | [
"apache-2.0"
] | [
"samsum"
] | [
"en"
] | null | null | [
"rouge"
] | [
"bart",
"BartForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation",
"summarization"
] | [
"text"
] | [
"text"
] | [
"text"
] |
675c21ee74d64986e3649d0c | c0e1b90c863bae56 | fef4c97d7f951c6a | 131,072 | BPE | 128,810 | false | true | false | true | 2,024 | null | Sequence | ByteLevel | null | [
"Punctuation",
"ByteLevel",
"Digits"
] | [
"ByteLevel"
] | 558 | tiiuae/Falcon3-1B-Base | tiiuae | null | 13,669 | 118,870 | False | 2024-12-13T12:00:46Z | 2025-03-10T04:53:37Z | transformers | 29 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | cb37ef3559b157b5c9d9226296ba01a5162da1f7 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"falcon3",
"en",
"fr",
"es",
"pt",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"eos_token": "<|endoftext|>", "pad_token": "<|pad|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en", "fr", "es", "pt"], "library_name": "transformers", "license": "other", "license_name": "falcon-llm-license", "license_link": "https://falconllm.tii.ae/falcon-terms-and-conditions.html", "metrics": null, "model_name": null, "pipeline_tag": n... | <div align="center">
<img src="https://huggingface.co/datasets/tiiuae/documentation-images/resolve/main/general/falco3-logo.png" alt="drawing" width="500"/>
</div>
# Falcon3-1B-Base
**Falcon3** family of Open Foundation Models is a set of pretrained and instruct LLMs ranging from 1B to 10B parameters.
This repos... | null | [
"other",
"falcon-llm-license",
"https://falconllm.tii.ae/falcon-terms-and-conditions.html"
] | null | [
"en",
"fr",
"es",
"pt"
] | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65cf27020d5f3249c6406461 | 11cdf776a252dffe | 7c4c85b636f4813b | 64,000 | BPE | 110,029 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 903 | ConvexAI/Luminex-34B-v0.1 | ConvexAI | {
"models": [
{
"_id": "659173bf9e16fa7510829591",
"id": "jondurbin/bagel-34b-v0.2"
}
],
"relation": "finetune"
} | 7,815 | 117,396 | False | 2024-02-16T09:12:34Z | 2024-10-29T05:26:02Z | transformers | 8 | 0 | [{"name": "Luminex-34B-v0.1", "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": 73.63, "name": "norm... | text-generation | {"parameters": {"F16": 34388917248}, "total": 34388917248} | [
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"model-00003-of-00007.safetensors",
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"model-00005-of-00007.safetenso... | a8769aa8fe19871dfa758c03ac2bc39d306975a9 | [
"transformers",
"pytorch",
"safetensors",
"llama",
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"conversational",
"base_model:jondurbin/bagel-34b-v0.2",
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"license:other",
"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"
} | {"base_model": "jondurbin/bagel-34b-v0.2", "license": "other", "license_name": "yi-license", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE", "model-index": [{"name": "Luminex-34B-v0.1", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Re... | 
# ConvexAI/Luminex-34B-v0.1
This model is [Smaug-34b](https://huggingface.co/abacusai/Smaug-34B-v0.1) with LaserRMT applied.
[Join our Discord!](https://discord.gg/rJXGjmxqzS)
# Open Portuguese LLM Leaderboard Evaluation Results
Detailed results can be found [her... | null | [
"other",
"yi-license",
"https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE"
] | null | null | 34,388,917,248 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
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646583b66ceebdc7fd9257e4 | dab37a375cc83085 | ade5e378ce727196 | 32,001 | BPE | 61,249 | true | false | true | true | 4 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 197 | QuixiAI/Wizard-Vicuna-7B-Uncensored | QuixiAI | null | 714 | 82,242 | False | 2023-05-18T01:47:34Z | 2024-03-04T16:04:55Z | transformers | 106 | 0 | [{"name": "Wizard-Vicuna-7B-Uncensored", "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": 53.41, "n... | text-generation | null | [
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"tokenizer_config.... | 56e0f666f0e337c1a756370983919686053455fb | [
"transformers",
"pytorch",
"llama",
"text-generation",
"uncensored",
"en",
"dataset:ehartford/wizard_vicuna_70k_unfiltered",
"license:other",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<s>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "</s>", "lstrip": false, "normalized": true, "rstrip":... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"datasets": ["ehartford/wizard_vicuna_70k_unfiltered"], "language": ["en"], "license": "other", "tags": ["uncensored"], "model-index": [{"name": "Wizard-Vicuna-7B-Uncensored", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "... | null | null | [
"other"
] | [
"ehartford/wizard_vicuna_70k_unfiltered"
] | [
"en"
] | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
63ecb355538b3a98de7d6093 | 93e5f76016ba8f77 | 781cb8259fa6a38c | 131,072 | BPE | 130,858 | false | true | true | true | 4 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 1,033 | TurkuNLP/gpt3-finnish-large | TurkuNLP | null | 880 | 84,009 | False | 2023-02-15T10:26:29Z | 2023-06-27T06:48:11Z | transformers | 9 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | b9a3dd97387fc70d07010d469888a918842d3449 | [
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"pytorch",
"bloom",
"feature-extraction",
"text-generation",
"fi",
"arxiv:2203.02155",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BloomModel"], "model_type": "bloom", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "pad_token": "<pad>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["fi"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": null} | Generative Pretrained Transformer with 881M parameteres for Finnish.
TurkuNLP Finnish GPT-3-models are a model family of pretrained monolingual GPT-style language models that are based on BLOOM-architecture.
Note that the models are pure language models, meaning that they are not [instruction finetuned](https://arxiv.... | null | [
"apache-2.0"
] | null | [
"fi"
] | null | null | null | [
"AutoModel",
"bloom",
"BloomModel"
] | [
"feature-extraction",
"text-generation"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"text",
"embeddings"
] |
6732bf63011ee73e183a80ac | 643d190440f20cd9 | 84110b1ed2b9294f | 151,666 | BPE | 151,387 | true | true | true | true | 23 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 493 | unsloth/Qwen2.5-Coder-14B-Instruct-bnb-4bit | unsloth | {
"models": [
{
"_id": "672b1f9a250205b317ab81e5",
"id": "Qwen/Qwen2.5-Coder-14B-Instruct"
}
],
"relation": "quantized"
} | 11,676 | 115,090 | False | 2024-11-12T02:37:23Z | 2024-11-12T10:04:01Z | transformers | 5 | 0 | null | text-generation | {"parameters": {"F32": 897792, "BF16": 1557976064, "U8": 13625050350}, "total": 15183924206} | [
".gitattributes",
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"vocab.json... | ecfc63c083900ce4f19daad695e711f38ab98fcf | [
"transformers",
"safetensors",
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"text-generation",
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"code",
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"qwen-coder",
"codeqwen",
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"base_model:Qwen/Qwen2.5-Coder-14B-Instruct",
"base_model:quantized:Qwen/Qwen2.5-Coder-14B-Instruct",
"license... | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "quantization_config": {"load_in_4bit": true, "load_in_8bit": false, "quant_method": "bitsandbytes"}, "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "Qwen/Qwen2.5-Coder-14B-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": null, "tags": ["unsloth", "transformers", "code", "qwen"... | # Finetune Llama 3.2, Qwen2.5, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth!
We have a Qwen 2.5 (all model sizes) [free Google Colab Tesla T4 notebook](https://colab.research.google.com/drive/1Kose-ucXO1IBaZq5BvbwWieuubP7hxvQ?usp=sharing).
Also a [Qwen 2.5 conversational style notebook](https://colab.... | null | [
"apache-2.0"
] | null | [
"en"
] | 15,183,924,206 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
64341afd1d83dc03c8e77445 | f86f94b7361e3934 | b7c7b0def6a8fe36 | 50,258 | BPE | 50,000 | false | true | true | true | 2 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 1,038 | Writer/camel-5b-hf | Writer | null | 1,352 | 84,569 | False | 2023-04-10T14:19:41Z | 2023-04-17T19:21:54Z | transformers | 111 | 0 | null | text-generation | null | [
".gitattributes",
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"handler.py",
"merges.txt",
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"pytorch_model-00003-of-00003.bin",
"pytorch_model.bin.index.json",
"requirements.txt",
"special_to... | d1438e22a33b9115af0e47ab3a0fe844cbf588a6 | [
"transformers",
"pytorch",
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"text-generation",
"InstructGPT",
"hf",
"en",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<|endoftext|>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "<|endoftext|>", "lstrip": false, "normalized"... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": 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": ["InstructGPT", "hf"]} | # Camel 🐪 5B
<style>
img {
display: inline;
}
</style>
## Model Description
Introducing Camel-5b, a state-of-the-art instruction-following large language model designed to deliver exceptional performance and versatility. Derived from the foundational architecture of [Palmyra-Base](https://huggingface.co/Writer/pa... | null | [
"apache-2.0"
] | null | [
"en"
] | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65dc7b466bd4865bb694eab6 | 83c1b42ea7d45c79 | b1199e553042ca3b | 100,016 | BPE | 99,757 | true | true | true | true | 16 | Sequence | Sequence | ByteLevel | [] | [
"Split",
"Split",
"Split",
"Split",
"Split",
"Digits",
"ByteLevel"
] | [
"ByteLevel"
] | 741 | gorilla-llm/gorilla-openfunctions-v2 | gorilla-llm | null | 152 | 81,075 | False | 2024-02-26T11:51:34Z | 2024-04-18T02:39:42Z | transformers | 245 | 0 | null | text-generation | null | [
".gitattributes",
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"zero_... | 1f6ac3b8bb09e347a875f5ff08cd66798706341e | [
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"text-generation",
"conversational",
"license:apache-2.0",
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"endpoints_compatible",
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] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "chat_template": "{% if not add_generation_prompt is defined %}\n{% set add_generation_prompt = false %}\n{% endif %}\n{%- set ns = namespace(found=false) -%}\n{%- for message in... | {
"auto_model": "AutoModelForCausalLM",
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"pipeline_tag": "text-generation",
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # Gorilla OpenFunctions v2
💡 SoTA for open-source models. On-par with GPT-4.
🚀 Check out the [Berkeley Function Calling Leaderboard](https://gorilla.cs.berkeley.edu/leaderboard)
📣 Read more in our [OpenFunctions v2 release blog](https://gorilla.cs.berkeley.edu/blogs/7_open_functions_v2.html) and [Berkeley Func... | null | [
"apache-2.0"
] | null | null | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
667aec2157d4fa8ad84e3611 | e23b6bdbe047bb7e | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 46 | nm-testing/tinyllama-oneshot-w8a16-per-channel | nm-testing | null | 1,433 | 83,143 | False | 2024-06-25T16:11:13Z | 2024-10-09T19:59:21Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"I64": 308, "I32": 242221056, "BF16": 131558400}, "total": 373779764} | [
".gitattributes",
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"generation_config.json",
"model.safetensors",
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] | 8ceb5bc31708c2a310785232d1f555cb44b0d0a5 | [
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"llama",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
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] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"quant_method": "compressed-tensors"}, "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message... | {
"auto_model": "AutoModelForCausalLM",
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"pipeline_tag": "text-generation",
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} | null | null | null | null | null | null | 373,779,764 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
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62b185e01fd6e4050dd60ae2 | b09ab9fd6ed532ef | f26f356cd728caa8 | 49,408 | BPE | 48,894 | true | true | true | true | 2 | Sequence | Sequence | ByteLevel | [
"NFC",
"Replace",
"Lowercase"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 414 | nvidia/groupvit-gcc-yfcc | nvidia | null | 2,008 | 88,057 | False | 2022-06-21T08:48:32Z | 2022-09-26T13:54:38Z | transformers | 6 | 0 | null | feature-extraction | null | [
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] | 751f6d9a37c9e9e42ba527cc99d3c21b137bd2a3 | [
"transformers",
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"tf",
"groupvit",
"feature-extraction",
"vision",
"arxiv:2202.11094",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["GroupViTModel"], "model_type": "groupvit", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<|startoftext|>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "<|endoftext|>", "lstrip": false, "normali... | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoProcessor"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["vision"]} | # Model Card: GroupViT
This checkpoint is uploaded by Jiarui Xu.
## Model Details
The GroupViT model was proposed in [GroupViT: Semantic Segmentation Emerges from Text Supervision](https://arxiv.org/abs/2202.11094) by Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas Breuel, Jan Kautz, Xiaolong Wang.
Ins... | null | null | null | null | null | null | null | [
"GroupViTModel",
"AutoModel",
"groupvit"
] | [
"feature-extraction"
] | [
"multimodal"
] | [
"text"
] | [
"embeddings"
] |
6689731e887fadb6cbc2fb0b | 803e3c8528c55bf1 | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
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"ByteLevel"
] | 352 | DeepMount00/Llama-3-COT-ITA | DeepMount00 | null | 2,430 | 86,054 | False | 2024-07-06T16:38:54Z | 2024-07-08T14:44:44Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"BF16": 8030261248}, "total": 8030261248} | [
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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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"ByteLevel"
] | [
"ByteLevel"
] | 1,039 | flax-community/gpt-2-spanish | flax-community | null | 1,169 | 81,613 | False | 2022-03-02T23:29:05Z | 2024-04-01T12:32:46Z | transformers | 28 | 0 | null | text-generation | {"parameters": {"F32": 124439808, "U8": 12582912}, "total": 137022720} | [
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"es",
"dataset:oscar",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["oscar"], "eval_results": null, "language": "es", "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["text-generation"], "widgets": [{"text": "\u00c9rase un vez "}, {"text": "Fra... | # Spanish GPT-2
GPT-2 model trained from scratch on the Spanish portion of [OSCAR](https://huggingface.co/datasets/viewer/?dataset=oscar).
The model is trained with Flax and using TPUs sponsored by Google since this is part of the
[Flax/Jax Community Week](https://discuss.huggingface.co/t/open-to-the-community-communi... | null | [
"apache-2.0"
] | [
"oscar"
] | [
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] | 137,022,720 | null | null | [
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663ba711a14bfb0a2d597ed5 | 84b32aed1137e433 | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
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"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 630 | alexm-nm/tinyllama-24-marlin24-8bit-g128 | alexm-nm | null | 36 | 89,049 | False | 2024-05-08T16:23:45Z | 2024-05-08T16:28:09Z | transformers | 1 | 0 | null | text-generation | {"parameters": {"I32": 121110528, "F16": 138733568, "I16": 60555264}, "total": 320399360} | [
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6617f6153b412cdc8501d121 | a0a265e2c58e95cf | 4b1b6033fc6cd980 | 50,298 | BPE | 50,000 | false | true | true | true | 42 | null | ByteLevel | ByteLevel | null | [
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"models": [
{
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"_id": "65e5f4f414c25d0571cfa7f4",
"id": "rhysjones/phi-2-orange-v2"
}
],
"relation": "merge"
} | 7,898 | 117,205 | False | 2024-04-11T14:39:17Z | 2024-07-28T15:50:49Z | transformers | 1 | 0 | [{"name": "L-MChat-Small", "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": 61.6, "name": "normaliz... | text-generation | {"parameters": {"BF16": 2779683840}, "total": 2779683840} | [
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"base_model:rhysjones/phi-2-orange-v2",
"base_model:merge:rhysjones/phi-2-orange-v2",
"license:mit",
"model-index"... | null | {"architectures": ["PhiForCausalLM"], "model_type": "phi", "tokenizer_config": {"bos_token": "<|startoftext|>", "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' }}{%... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["rhysjones/phi-2-orange-v2", "Weyaxi/Einstein-v4-phi2"], "library_name": "transformers", "license": "mit", "tags": ["mergekit", "merge"], "model-index": [{"name": "L-MChat-Small", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (2... | ## L-MChat-Small
<div style="text-align:center;width:250px;height:250px;">
<img src="https://priority.cdn.leunos.com/logo-l-mchat-rs.png" alt="L-MChat-Series-Logo"">
</div>
This was a test of mine how small merges perform, because there are a lot of 7b merges and higher but not a lot of 2b merges.
### Merge Meth... | null | [
"mit"
] | null | null | 2,779,683,840 | null | null | [
"AutoModelForCausalLM",
"phi",
"PhiForCausalLM"
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"text-generation"
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"text"
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"text"
] | [
"text"
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64e5b573c48824064f21b4c4 | 064263a4e2ac640b | 8e9ae348a97b8ffa | 32,005 | BPE | 61,249 | true | false | true | true | 8 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 1,041 | OpenLemur/lemur-70b-chat-v1 | OpenLemur | null | 1,649 | 88,346 | False | 2023-08-23T07:29:55Z | 2023-10-13T06:59:56Z | transformers | 68 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"pytorch_model-00001-of-00015.bin",
"pytorch_model-00002-of-00015.bin",
"pytorch_model-00003-of-00015.bin",
"pytorch_model-00004-of-00015.bin",
"pytorch_model-00005-of-00015.bin",
"pytorch_model-00006-of... | a13626d2da73c14bc0c2d8ddf180a8c6e55e131c | [
"transformers",
"pytorch",
"llama",
"text-generation",
"code",
"text-generation-inference",
"en",
"arxiv:2310.06830",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<s>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "</s>", "lstrip": false, "normalized": false, "rstrip... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "cc-by-nc-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["text-generation", "code", "text-generation-inference"]... | # lemur-70b-chat-v1
<p align="center">
<img src="https://huggingface.co/datasets/OpenLemur/assets/resolve/main/lemur_icon.png" width="300" height="300" alt="Lemur">
</p>
<div align="center">
<img src="https://huggingface.co/datasets/OpenLemur/assets/resolve/main/lemur_chat_radar.png">
</div>
📄Paper: https://arx... | null | [
"cc-by-nc-4.0"
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"en"
] | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
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"text-generation"
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] | [
"text"
] | [
"text"
] |
66417b30220cfa8cbf21e32b | 88cd37e502d27a0a | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 88 | aws-prototyping/MegaBeam-Mistral-7B-300k | aws-prototyping | null | 8,085 | 118,372 | False | 2024-05-13T02:30:08Z | 2024-06-04T04:06:40Z | transformers | 16 | 0 | null | text-generation | {"parameters": {"BF16": 7241732096}, "total": 7241732096} | [
".gitattributes",
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"apache-2.0"
] | null | null | 7,241,732,096 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
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"text-generation"
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"text"
] | [
"text"
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6611e84acfbba5e7612501ae | 88cd37e502d27a0a | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 88 | Kukedlc/NeuralSynthesis-7B-v0.3 | Kukedlc | null | 7,913 | 116,923 | False | 2024-04-07T00:26:50Z | 2024-04-07T00:46:45Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"BF16": 7241732096}, "total": 7241732096} | [
".gitattributes",
"README.md",
"config.json",
"mergekit_config.yml",
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"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | 090fab29146f8e55066bce2f5f5859ab2d6027f4 | [
"transformers",
"safetensors",
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"text-generation",
"merge",
"mergekit",
"lazymergekit",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "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": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["merge", "mergekit", "lazymergekit"]} | # NeuralSynthesis-7B-v0.3
NeuralSynthesis-7B-v0.3 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
## ... | null | [
"apache-2.0"
] | null | null | 7,241,732,096 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
677d05aaab57c096ea124c8e | 344b7c49c2732e43 | 8386a692be535934 | 51,866 | BPE | 50,000 | false | true | true | true | 1,609 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 21 | Oriserve/Whisper-Hindi2Hinglish-Prime | Oriserve | {
"models": [
{
"_id": "654a84cadff2f49007ce6c37",
"id": "openai/whisper-large-v3"
}
],
"relation": "finetune"
} | 1,322 | 103,918 | False | 2025-01-07T10:44:58Z | 2025-11-06T14:29:08Z | transformers | 15 | 0 | [{"name": "Whisper-Hindi2Hinglish-Prime", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "google/fleurs", "type": "google/fleurs", "config": "hi_in", "split": "test"}, "metrics": [{"type": "wer", "value": 28.6806, "name": "WER", "verified": fal... | automatic-speech-recognition | {"parameters": {"F32": 1543490560}, "total": 1543490560} | [
".gitattributes",
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"audios/c0faba11-27ba-4837-a2eb-ccd67be07f40_... | 4edf7b8291f950e3ac4f32bdacb38c46800e77dc | [
"transformers",
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"whisper",
"automatic-speech-recognition",
"audio",
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"pytorch",
"hinglish",
"en",
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"base_model:finetune:openai/whisper-large-v3",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"depl... | null | {"architectures": ["WhisperForConditionalGeneration"], "model_type": "whisper", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "pad_token": null, "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForSpeechSeq2Seq",
"custom_class": null,
"pipeline_tag": "automatic-speech-recognition",
"processor": "AutoProcessor"
} | {"base_model": ["openai/whisper-large-v3"], "language": ["en", "hi"], "library_name": "transformers", "license": "apache-2.0", "metrics": ["wer"], "pipeline_tag": "automatic-speech-recognition", "tags": ["audio", "automatic-speech-recognition", "whisper-event", "pytorch", "hinglish"], "inference": true, "widget": [{"sr... | ## Whisper-Hindi2Hinglish-Prime:
- GITHUB LINK: [github link](https://github.com/OriserveAI/Whisper-Hindi2Hinglish)
- SPEECH-TO-TEXT ARENA: [Speech-To-Text Arena](https://huggingface.co/spaces/Oriserve/ASR_arena)
### Table of Contents:
- [Key Features](#key-features)
- [Training](#training)
- [Data](#data)
- [F... | null | [
"apache-2.0"
] | null | [
"en",
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] | [
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] | [
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] |
655f61c834fdf07d79569b39 | 88cd37e502d27a0a | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 88 | uukuguy/zephyr-7b-alpha-dare-0.85 | uukuguy | null | 714 | 82,604 | False | 2023-11-23T14:29:28Z | 2023-11-23T14:38:45Z | transformers | 0 | 0 | null | text-generation | null | [
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] | afe35301593b4ce2e7b5d1696066724ef1f802eb | [
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"license:llama2",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
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] | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['conte... | {
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"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "llama2", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | Experiment for DARE(Drop and REscale), most of the delta parameters can be directly set to zeros without affecting the capabilities of SFT LMs and larger models can tolerate a higher proportion of discarded parameters.
weight_mask_rate: 0.85 / use_weight_rescale: True / mask_stratery: random / scaling_coefficient: 1.0... | null | [
"llama2"
] | null | null | null | null | null | [
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6610ba751d2d202e24795f9c | e2c43495aed6e9fb | e6ffdc5dd5f1fd86 | 256,000 | BPE | 580,604 | true | false | true | true | 217 | Replace | null | Sequence | [
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse"
] | 106 | OpenModels4all/gemma-1.1-7b-it | OpenModels4all | null | 21 | 78,928 | False | 2024-04-06T02:59:01Z | 2024-04-06T03:02:05Z | transformers | 4 | 0 | null | text-generation | {"parameters": {"BF16": 8537680896}, "total": 8537680896} | [
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"... | 484670e31c44eededf8c64064eb0207e7af4a2b3 | [
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"arxiv:1907.10641",
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"arxiv:1809.02789",
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"arxiv:17... | 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 %... | {
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "gemma", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null, "widget": [{"messages": [{"role": "user", "content": "How does the brain... | # Ungated version of Gemma
**Model Page**: [Gemma](https://ai.google.dev/gemma/docs)
This model card corresponds to the latest 7B instruct version of the Gemma model. Here you can find other models in the Gemma family:
| | Base | Instruct ... | null | [
"gemma"
] | null | null | 8,537,680,896 | null | null | [
"AutoModelForCausalLM",
"gemma",
"GemmaForCausalLM"
] | [
"text-generation"
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6419d8f1574e08d8560a1f8f | 2d0341bd3a73bae6 | ef4806e2ade9022f | 32,100 | Unigram | null | true | true | true | true | 103 | Sequence | Metaspace | Metaspace | [
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 32 | declare-lab/flan-alpaca-base | declare-lab | null | 174 | 115,895 | False | 2023-03-21T16:18:57Z | 2023-08-21T06:50:15Z | transformers | 35 | 0 | null | null | {"parameters": {"F32": 247577856}, "total": 247577856} | [
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] | null | {"architectures": ["T5ForConditionalGeneration"], "model_type": "t5", "tokenizer_config": {"eos_token": "</s>", "pad_token": "<pad>", "unk_token": "<unk>"}} | {
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} | {"base_model": null, "datasets": ["tatsu-lab/alpaca"], "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} | ## 🍮 🦙 Flan-Alpaca: Instruction Tuning from Humans and Machines
📣 Introducing **Red-Eval** to evaluate the safety of the LLMs using several jailbreaking prompts. With **Red-Eval** one could jailbreak/red-team GPT-4 with a 65.1% attack success rate and ChatGPT could be jailbroken 73% of the time as measured on Dange... | null | [
"apache-2.0"
] | [
"tatsu-lab/alpaca"
] | null | 247,577,856 | null | null | [
"t5",
"T5ForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation"
] | null | null | null |
6562e0ce2c14555119c1a98e | 89a5128d694e9242 | 081b543d8f95004e | 32,002 | BPE | 58,980 | true | false | true | true | 5 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 419 | DopeorNope/mistralopithecus-v1-dpo-7b | DopeorNope | null | 3 | 19 | False | 2023-11-26T06:08:14Z | 2023-11-26T06:51:56Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"F16": 7241748480}, "total": 7241748480} | [
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] | 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",
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"pipeline_tag": "text-generation",
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} | null | null | null | null | null | null | 7,241,748,480 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
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"text"
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"text"
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63f29363e965fdebaa6663bb | 53ecf467267e2824 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 0 | AntoineMC/distilbart-mnli-github-issues | AntoineMC | null | 11 | 78,782 | False | 2023-02-19T21:23:47Z | 2023-02-26T20:33:57Z | transformers | 4 | 0 | null | text-classification | null | [
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"NLP",
"en",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DistilBertForSequenceClassification"], "model_type": "distilbert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["accuracy"], "model_name": null, "pipeline_tag": "text-classification", "tags": ["customer-service-tickets", "github-issues", ... | # GitHub issues classifier (using zero shot classification)
Predicts wether a statement is a feature request, issue/bug or question
This model was trained using the [**Zero-shot classifier distillation**](https://github.com/huggingface/transformers/tree/main/examples/research_projects/zero-shot-distillation) method
... | null | [
"apache-2.0"
] | null | [
"en"
] | null | null | [
"accuracy"
] | [
"DistilBertForSequenceClassification",
"distilbert",
"AutoModelForSequenceClassification"
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] | [
"text"
] | [
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] | [
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"Split",
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"ByteLevel"
] | 320 | zai-org/GLM-4.6 | zai-org | null | 22,471 | 651,590 | False | 2025-09-29T18:22:51Z | 2025-09-30T10:17:45Z | transformers | 1,207 | 1 | null | text-generation | {"parameters": {"BF16": 356785884416, "F32": 14400}, "total": 356785898816} | [
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"license:mit",
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] | null | {"architectures": ["Glm4MoeForCausalLM"], "model_type": "glm4_moe", "tokenizer_config": {"eos_token": "<|endoftext|>", "pad_token": "<|endoftext|>"}, "chat_template_jinja": "[gMASK]<sop>\n{%- if tools -%}\n<|system|>\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with ... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en", "zh"], "library_name": "transformers", "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": null} | null | null | [
"mit"
] | null | [
"en",
"zh"
] | 356,785,898,816 | null | null | [
"AutoModelForCausalLM",
"Glm4MoeForCausalLM",
"glm4_moe"
] | [
"text-generation"
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"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 88 | stabilityai/japanese-stablelm-instruct-gamma-7b | stabilityai | null | 825 | 84,053 | False | 2023-10-16T08:55:06Z | 2024-01-24T05:54:38Z | transformers | 53 | 0 | null | text-generation | {"parameters": {"BF16": 7241732096}, "total": 7241732096} | [
".gitattributes",
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"generation_config.json",
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"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.... | bb4590d461327a6d63f52a5cdbaa64cfceabbb4a | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"japanese-stablelm",
"causal-lm",
"ja",
"arxiv:2310.06825",
"license:apache-2.0",
"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": ["ja"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["japanese-stablelm", "causal-lm"], "extra_gated_fields": {"Name": "... | # Japanese Stable LM Instruct Gamma 7B
## Model Description
This is a 7B-parameter decoder-only Japanese language model fine-tuned on instruction-following datasets, built on top of the base model [Japanese Stable LM Base Gamma 7B](https://huggingface.co/stabilityai/japanese-stablelm-base-gamma-7b).
*If you are in s... | null | [
"apache-2.0"
] | null | [
"ja"
] | 7,241,732,096 | null | null | [
"AutoModelForCausalLM",
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] | [
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] | [
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] | [
"text"
] |
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] | 493 | unsloth/Qwen2.5-Coder-7B | unsloth | {
"models": [
{
"_id": "66e81d2494457ccb513ef9c9",
"id": "Qwen/Qwen2.5-Coder-7B"
}
],
"relation": "finetune"
} | 713 | 98,587 | False | 2024-09-23T05:52:33Z | 2024-11-12T02:54:22Z | transformers | 4 | 0 | null | text-generation | {"parameters": {"BF16": 7615616512}, "total": 7615616512} | [
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"special_to... | 5762507e8ed2132906da60f86a2b23b54673ee81 | [
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"license:apache-2.0",
"te... | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "eos_token": "<|endoftext|>", "pad_token": "<|PAD_TOKEN|>", "unk_token": null}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "Qwen/Qwen2.5-Coder-7B", "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["unsloth", "transformers", "code", "qwen", "qwen-co... | # Finetune Llama 3.1, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth!
We have a Qwen 2.5 (all model sizes) [free Google Colab Tesla T4 notebook](https://colab.research.google.com/drive/1Kose-ucXO1IBaZq5BvbwWieuubP7hxvQ?usp=sharing).
Also a [Qwen 2.5 conversational style notebook](https://colab.research.... | null | [
"apache-2.0"
] | null | [
"en"
] | 7,615,616,512 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
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"ByteLevel"
] | [
"ByteLevel"
] | 916 | hugohrban/progen2-small | hugohrban | null | 15,503 | 169,826 | False | 2024-04-22T21:17:09Z | 2026-03-06T12:39:58Z | transformers | 2 | 0 | null | text-generation | {"parameters": {"F32": 151148576}, "total": 151148576} | [
".gitattributes",
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"config.json",
"configuration_progen.py",
"generation_config.json",
"model.safetensors",
"modeling_progen.py",
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] | 43237a0b733c6629226a079266d2985c9fdce9b7 | [
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"safetensors",
"progen",
"text-generation",
"custom_code",
"arxiv:2206.13517",
"license:bsd-3-clause",
"region:us"
] | null | {"architectures": ["ProGenForCausalLM"], "auto_map": {"AutoConfig": "configuration_progen.ProGenConfig", "AutoModelForCausalLM": "modeling_progen.ProGenForCausalLM"}, "model_type": "progen"} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "modeling_progen.ProGenForCausalLM",
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "bsd-3-clause", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | Mirror of the base ProGen2-small model (with slightly modified configuration and forward pass) by [Nijkamp, et al.](https://arxiv.org/abs/2206.13517).
See also my github [repo](https://github.com/hugohrban/ProGen2-finetuning/tree/main) for an example of finetuning this model.
Example usage:
```python
from transforme... | null | [
"bsd-3-clause"
] | null | null | 151,148,576 | null | null | [
"AutoModelForCausalLM",
"modeling_progen.ProGenForCausalLM",
"progen",
"ProGenForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
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"NFC"
] | [
"Split",
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] | [
"ByteLevel"
] | 493 | unsloth/Qwen2.5-Coder-7B-Instruct | unsloth | {
"models": [
{
"_id": "66e9866925a2de6873aa5a9b",
"id": "Qwen/Qwen2.5-Coder-7B-Instruct"
}
],
"relation": "finetune"
} | 7,620 | 132,956 | False | 2024-09-23T06:56:44Z | 2024-11-12T02:53:46Z | transformers | 8 | 0 | null | text-generation | {"parameters": {"BF16": 7615616512}, "total": 7615616512} | [
".gitattributes",
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"added_tokens.json",
"config.json",
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"merges.txt",
"model-00001-of-00004.safetensors",
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"special_to... | 3fd3aab092612530a892ff49027dfd4f39046ec3 | [
"transformers",
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"base_model:Qwen/Qwen2.5-Coder-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-Coder-7B-In... | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Aliba... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "Qwen/Qwen2.5-Coder-7B-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": null, "tags": ["unsloth", "transformers", "code", "qwen",... | # Finetune Llama 3.1, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth!
We have a Qwen 2.5 (all model sizes) [free Google Colab Tesla T4 notebook](https://colab.research.google.com/drive/1Kose-ucXO1IBaZq5BvbwWieuubP7hxvQ?usp=sharing).
Also a [Qwen 2.5 conversational style notebook](https://colab.research.... | null | [
"apache-2.0"
] | null | [
"en"
] | 7,615,616,512 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
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"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 909 | Mihaiii/Pallas-0.5 | Mihaiii | {
"models": [
{
"_id": "656e8ccd2cd7a3e348fdd11d",
"id": "migtissera/Tess-34B-v1.4"
}
],
"relation": "finetune"
} | 2,327 | 91,764 | False | 2023-12-28T19:47:03Z | 2024-02-22T10:26:45Z | transformers | 6 | 0 | null | text-generation | {"parameters": {"BF16": 34388945920}, "total": 34388945920} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"model-00001-of-00015.safetensors",
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"model-00005-of-00015.safetensors",
"model-00006-of-00015.s... | 07e3c156fb025a65107a63eb7fab9e1dc62fca37 | [
"transformers",
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"llama",
"text-generation",
"conversational",
"base_model:migtissera/Tess-34B-v1.4",
"base_model:finetune:migtissera/Tess-34B-v1.4",
"license:other",
"text-generation-inference",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "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' %}{{'USER:\n' + mes... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "migtissera/Tess-34B-v1.4", "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": "other", "license_name": "yi-license", "license_link": "https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE", "metrics": ["accuracy"], "model_name": null, "pipeline_tag": null, "tags":... | [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
An instruct based fine tune of [migtissera/Tess-34B-v1.4](https://huggingface.co/migtissera/Tess-34B-v... | null | [
"other",
"yi-license",
"https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE"
] | null | null | 34,388,945,920 | null | [
"accuracy"
] | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
62a847b44d41c2cd8edb1397 | 8a8c94e1a59f5186 | ef4806e2ade9022f | 32,100 | Unigram | null | true | true | true | true | 103 | Precompiled | Sequence | Metaspace | [
"Precompiled"
] | [
"WhitespaceSplit",
"Metaspace"
] | [
"Metaspace"
] | 11 | google/long-t5-tglobal-xl | google | null | 454 | 80,954 | False | 2022-06-14T08:32:52Z | 2023-01-24T17:11:32Z | transformers | 24 | 0 | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"flax_model.msgpack",
"generation_config.json",
"pytorch_model-00001-of-00002.bin",
"pytorch_model-00002-of-00002.bin",
"pytorch_model.bin.index.json",
"spiece.model",
"tokenizer.json"
] | aef658ccfcaddf6156e819e2005b3a04d3a1ff46 | [
"transformers",
"pytorch",
"jax",
"longt5",
"text2text-generation",
"en",
"arxiv:2112.07916",
"arxiv:1912.08777",
"arxiv:1910.10683",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LongT5ForConditionalGeneration"], "model_type": "longt5"} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": "en", "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # LongT5 (transient-global attention, XL-sized model)
LongT5 model pre-trained on English language. The model was introduced in the paper [LongT5: Efficient Text-To-Text Transformer for Long Sequences](https://arxiv.org/pdf/2112.07916.pdf) by Guo et al. and first released in [the LongT5 repository](https://github.com/... | null | [
"apache-2.0"
] | null | [
"en"
] | null | null | null | [
"AutoModelForSeq2SeqLM",
"longt5",
"LongT5ForConditionalGeneration"
] | [
"text2text-generation"
] | null | null | null |
660d1ebc03a46d81aebd711d | 88cd37e502d27a0a | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 88 | MoxoffSrL/Azzurro | MoxoffSrL | null | 1,250 | 84,040 | False | 2024-04-03T09:17:48Z | 2024-04-16T08:10:18Z | transformers | 8 | 0 | null | text-generation | {"parameters": {"BF16": 7241732096}, "total": 7241732096} | [
".gitattributes",
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"config.json",
"generation_config.json",
"model-00001-of-00003.safetensors",
"model-00002-of-00003.safetensors",
"model-00003-of-00003.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 2443a3cb9224f55e7edb85750666f12728a5d265 | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"sft",
"it",
"chatml",
"conversational",
"en",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...'... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["it", "en"], "library_name": "transformers", "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["sft", "it", "mistral", "chatml"]} | # Model Information
Azzurro is an updated version of [Mistral-7B-v0.2](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf), specifically fine-tuned with SFT and LoRA adjustments.
- It's trained on publicly available datasets, like [SQUAD-it](https://huggingface.co/datasets/squad_it), and datasets we've created in-ho... | null | [
"mit"
] | null | [
"it",
"en"
] | 7,241,732,096 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
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"NFC"
] | [
"Split",
"ByteLevel"
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} | 11 | 78,262 | False | 2024-04-24T01:59:17Z | 2024-04-30T12:25:15Z | transformers | 34 | 0 | null | text-generation | {"parameters": {"BF16": 8030269440}, "total": 8030269440} | [
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"... | f6e6495a184ac245c8e3c953ce6acb8f732c52dd | [
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<img src="https://cdn-uploads.huggingface.co/production/uploads/646484cfb90150b2706df03b/BEOyMpnnY9VY2KXlc3V2F.png" width="20%"/>
<p>
# Llama-3-MAAL-8B-Instruct-v0.1
we release MAAL, Multilingual Adaptive Augmentation Language-model which comprises a groundbreaking fusion of multilingual capabilitie... | null | [
"llama3"
] | null | [
"en",
"ko"
] | 8,030,269,440 | null | null | [
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621ffdc136468d709f1791c3 | 6ad670d2742d0236 | 5f06a539f7067498 | 50,400 | BPE | 50,000 | false | true | true | true | 144 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
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"ByteLevel"
] | 112 | anton-l/gpt-j-tiny-random | anton-l | null | 1,118 | 83,075 | False | 2022-03-02T23:29:05Z | 2022-10-24T19:06:37Z | transformers | 1 | 0 | null | text-generation | null | [
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] | feea91564dac0081f73aeb6744979c6cfe553fff | [
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"rust",
"gptj",
"text-generation",
"endpoints_compatible",
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"gptj",
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"GPTJForCausalLM"
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67d14969b0b99e77c09a645b | 46323c0f61df476d | 1fe366e13272caa0 | 262,145 | BPE | 514,906 | true | true | true | true | 6,415 | Replace | Split | Sequence | [
"Replace"
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"Split"
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"Replace",
"ByteFallback",
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{
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"id": "google/gemma-3-4b-it"
}
],
"relation": "quantized"
} | 10,126 | 146,656 | False | 2025-03-12T08:44:25Z | 2025-05-12T07:57:04Z | transformers | 12 | 0 | null | image-text-to-text | {"parameters": {"F32": 329750, "BF16": 680366448, "U8": 3732967034}, "total": 4413663232} | [
".gitattributes",
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"tokenizer_con... | eb03c885bc2cc913fe792994bc766006f14ad72d | [
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"google",
"conversational",
"en",
"arxiv:1905.07830",
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"arxiv:1904.09728",
"arxiv:1705.03551",
"arxiv:1911.01547",
"arxiv:1907.10641",
"arxiv:1903.00161",
"arxi... | null | {"architectures": ["Gemma3ForConditionalGeneration"], "model_type": "gemma3", "quantization_config": {"load_in_4bit": true, "load_in_8bit": false, "quant_method": "bitsandbytes"}, "processor_config": {"chat_template": "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n {%- if messages[0]['content'] is str... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
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} | {"base_model": "google/gemma-3-4b-it", "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "gemma", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["unsloth", "transformers", "gemma3", "gemma", "google"]} | <div>
<p style="margin-bottom: 0; margin-top: 0;">
<strong>See <a href="https://huggingface.co/collections/unsloth/gemma-3-67d12b7e8816ec6efa7e4e5b">our collection</a> for all versions of Gemma 3 including GGUF, 4-bit & 16-bit formats.</strong>
</p>
<p style="margin-bottom: 0;">
<em><a href="https://docs.... | null | [
"gemma"
] | null | [
"en"
] | 4,413,663,232 | null | null | [
"AutoModelForImageTextToText",
"Gemma3ForConditionalGeneration",
"gemma3"
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"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
65f7210c43771dd20bfd2042 | c201230c641b14d0 | 5cc89648c8003a49 | 256,000 | BPE | 580,604 | true | false | true | true | 4 | Replace | null | Sequence | [
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse"
] | 161 | Telugu-LLM-Labs/Indic-gemma-7b-finetuned-sft-Navarasa-2.0 | Telugu-LLM-Labs | {
"models": [
{
"_id": "65c5577b1080431ea9e083cd",
"id": "google/gemma-7b"
}
],
"relation": "finetune"
} | 155 | 79,054 | False | 2024-03-17T16:57:48Z | 2024-03-18T04:40:34Z | transformers | 22 | 0 | null | text-generation | {"parameters": {"F32": 8537680896}, "total": 8537680896} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00008.safetensors",
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"model-00004-of-00008.safetensors",
"model-00005-of-00008.safetensors",
"model-00006-of-00008.safetensors",
"model-0... | 84d251f088d2954561a4348883ba28f6f3265182 | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"te",
"en",
"ta",
"ml",
"mr",
"hi",
"kn",
"sd",
"ne",
"ur",
"as",
"gu",
"bn",
"pa",
"or",
"dataset:ravithejads/samvaad-hi-filtered",
"dataset:Telugu-LLM-Labs/telugu_teknium_GPTeacher_general_instruct_filtered_romanize... | null | {"architectures": ["GemmaForCausalLM"], "model_type": "gemma", "tokenizer_config": {"bos_token": "<bos>", "eos_token": "<eos>", "pad_token": "<pad>", "unk_token": "<unk>", "use_default_system_prompt": false}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "google/gemma-7b", "datasets": ["ravithejads/samvaad-hi-filtered", "Telugu-LLM-Labs/telugu_teknium_GPTeacher_general_instruct_filtered_romanized", "Telugu-LLM-Labs/telugu_alpaca_yahma_cleaned_filtered_romanized", "Telugu-LLM-Labs/sindhi_alpaca_yahma_cleaned_filtered", "Telugu-LLM-Labs/urdu_alpaca_yahma_c... | # Indic-gemma-7b-finetuned-sft-Navarasa-2.0
This model is based on [google/gemma-7b](https://huggingface.co/google/gemma-7b) and hase been LoRA finetuned on 15 Indian languages and English language instruction datasets:
1. #### Hindi - [ravithejads/samvaad-hi-filtered](https://huggingface.co/datasets/ravithejads/samv... | null | [
"other",
"gemma-terms-of-use",
"https://ai.google.dev/gemma/terms"
] | [
"ravithejads/samvaad-hi-filtered",
"Telugu-LLM-Labs/telugu_teknium_GPTeacher_general_instruct_filtered_romanized",
"Telugu-LLM-Labs/telugu_alpaca_yahma_cleaned_filtered_romanized",
"Telugu-LLM-Labs/sindhi_alpaca_yahma_cleaned_filtered",
"Telugu-LLM-Labs/urdu_alpaca_yahma_cleaned_filtered",
"Telugu-LLM-Lab... | [
"te",
"en",
"ta",
"ml",
"mr",
"hi",
"kn",
"sd",
"ne",
"ur",
"as",
"gu",
"bn",
"pa",
"or"
] | 8,537,680,896 | null | null | [
"AutoModelForCausalLM",
"gemma",
"GemmaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65a4ddde087d8a2e9c98f50c | 809077039db4582a | c7fde6e21c42bdfe | 57,000 | BPE | 81,334 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 1,044 | HIT-SCIR/Chinese-Mixtral-8x7B | HIT-SCIR | null | 8,489 | 119,698 | False | 2024-01-15T07:25:18Z | 2024-03-07T08:17:55Z | transformers | 45 | 0 | [{"name": "Chinese-Mixtral-8x7B", "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": 63.57, "name": "... | text-generation | {"parameters": {"BF16": 46907592704}, "total": 46907592704} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"img/alp.png",
"img/case.png",
"img/logo.png",
"model-00001-of-00019.safetensors",
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"model-00003-of-00019.safetensors",
"model-00004-of-00019.safetensors",
"model-00005-of-00019.safetenso... | 48dcca0be7782e61fa9ad01ff46027cb396ee387 | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"arxiv:2401.04088",
"arxiv:2109.07306",
"license:apache-2.0",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["MixtralForCausalLM"], "model_type": "mixtral", "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"
} | {"license": "apache-2.0", "model-index": [{"name": "Chinese-Mixtral-8x7B", "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": [{"typ... | <div align="center">
<h1>
Chinese-Mixtral-8x7B
</h1>
</div>
<div align="center">
<a href="https://github.com/HIT-SCIR/Chinese-Mixtral-8x7B/pulls">
<image src="https://img.shields.io/badge/PRs-welcome-brightgreen"></image>
<image src="https://img.shields.io/badge/L... | null | [
"apache-2.0"
] | null | null | 46,907,592,704 | null | null | [
"mixtral",
"MixtralForCausalLM",
"AutoModelForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
678e3d9292f2c093f9ee9d47 | d1b17ca2d3ca5ffe | 83d37c6e8ee56b77 | 151,665 | BPE | 151,387 | true | true | true | true | 22 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 75 | unsloth/DeepSeek-R1-Distill-Qwen-1.5B | unsloth | {
"models": [
{
"_id": "678e11922b39b4ed1381531b",
"id": "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B"
}
],
"relation": "finetune"
} | 2,398 | 91,123 | False | 2025-01-20T12:12:02Z | 2025-04-19T12:42:58Z | transformers | 16 | 0 | null | text-generation | {"parameters": {"BF16": 1777088000}, "total": 1777088000} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"figures/benchmark.jpg",
"generation_config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 81ae06f3626e5764251a79ea31acf84002f8590a | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"unsloth",
"conversational",
"arxiv:2501.12948",
"base_model:deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
"base_model:finetune:deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B",
"license:mit",
"text-generation-inference",
"endpoints_compatible... | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "lstrip": false, "normalized": true, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "<\uff5cend\u258... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": ["deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B"], "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": ["unsloth"]} | # DeepSeek-R1
<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<!-- markdownlint-disable no-duplicate-header -->
<div align="center">
<img src="https://github.com/deepseek-ai/DeepSeek-V2/blob/main/figures/logo.svg?raw=true" width="60%" alt="DeepSeek-V3" />
</div>
<hr>
<div align="center... | null | [
"mit"
] | null | null | 1,777,088,000 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
62a06af723c6a0567eb383f5 | e3bee9ef62542680 | c4ea4f821e2a9c61 | 256,002 | BPE | 506,054 | true | true | true | true | 5 | Sequence | Metaspace | Metaspace | [
"Precompiled",
"Replace"
] | [
"Metaspace"
] | [
"Metaspace"
] | 1,045 | facebook/mgenre-wiki | facebook | null | 899 | 82,089 | False | 2022-06-08T09:25:11Z | 2023-01-24T17:11:18Z | transformers | 29 | 0 | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"flax_model.msgpack",
"generation_config.json",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tf_model.h5",
"titles_lang_all105_marisa_trie_with_redirect.pkl",
"titles_lang_all105_trie_with_redirect.pkl",
"tokenizer.js... | 5477d3e75075ad26687c050d057a33d75641408a | [
"transformers",
"pytorch",
"tf",
"jax",
"mbart",
"text2text-generation",
"retrieval",
"entity-retrieval",
"named-entity-disambiguation",
"entity-disambiguation",
"named-entity-linking",
"entity-linking",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bm",
"bn",
... | null | {"architectures": ["MBartForConditionalGeneration"], "model_type": "mbart", "tokenizer_config": {"bos_token": "<s>", "cls_token": "<s>", "eos_token": "</s>", "mask_token": {"__type": "AddedToken", "content": "<mask>", "lstrip": true, "normalized": true, "rstrip": false, "single_word": false}, "pad_token": "<pad>", "sep... | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["multilingual", "af", "am", "ar", "as", "az", "be", "bg", "bm", "bn", "br", "bs", "ca", "cs", "cy", "da", "de", "el", "en", "eo", "es", "et", "eu", "fa", "ff", "fi", "fr", "fy", "ga", "gd", "gl", "gn", "gu", "ha", "he", "hi", "hr", "ht", "hu", "h... | # mGENRE
The mGENRE (multilingual Generative ENtity REtrieval) system as presented in [Multilingual Autoregressive Entity Linking](https://arxiv.org/abs/2103.12528) implemented in pytorch.
In a nutshell, mGENRE uses a sequence-to-sequence approach to entity retrieval (e.g., linking), based on fine-tuned [mBART](htt... | null | null | null | [
"multilingual",
"af",
"am",
"ar",
"as",
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"bg",
"bm",
"bn",
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"gn",
"gu",
"ha",
"he",
"hi",
"hr",
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"h... | null | null | null | [
"AutoModelForSeq2SeqLM",
"MBartForConditionalGeneration",
"mbart"
] | [
"text2text-generation"
] | null | null | null |
64f24d9c74f9109c42d1fa68 | e23b6bdbe047bb7e | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 46 | uukuguy/speechless-llama2-hermes-orca-platypus-wizardlm-13b | uukuguy | null | 1,532 | 86,571 | False | 2023-09-01T20:46:20Z | 2023-12-30T11:47:28Z | transformers | 32 | 0 | null | text-generation | {"parameters": {"F32": 327680000, "BF16": 12688186880}, "total": 13015866880} | [
".gitattributes",
"README.md",
"config.json",
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"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.json"
] | 954cc87b0ed5fa280126de546daf648861031512 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-2",
"en",
"dataset:garage-bAInd/Open-Platypus",
"arxiv:2307.09288",
"text-generation-inference",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<s>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "</s>", "lstrip": false, "normalized": false, "rstrip... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["garage-bAInd/Open-Platypus"], "eval_results": null, "language": ["en"], "library_name": "transformers", "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["facebook", "meta", "pytorch", "llama",... | <p><h1> speechless-llama2-hermes-orca-platypus-wizardlm-13b </h1></p>
> New Version based on Mistral-7B Release: https://huggingface.co/uukuguy/speechless-mistral-dolphin-orca-platypus-samantha-7b
speechless-llama2-hermes-orca-platypus-wizardlm-13b is a merge of NousResearch/Nous-Hermes-Llama2-13b, Open-Orca/OpenOrc... | null | null | [
"garage-bAInd/Open-Platypus"
] | [
"en"
] | 13,015,866,880 | null | null | [
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"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 18 | nvidia/Llama-3.1-Nemotron-8B-UltraLong-4M-Instruct | nvidia | null | 76 | 79,422 | False | 2025-03-04T21:18:45Z | 2025-04-17T03:57:20Z | transformers | 119 | 0 | null | text-generation | null | [
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"model-00005-of-... | 02ae0431f885eb8f4994112a7f132a38451abe52 | [
"transformers",
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"llama",
"text-generation",
"conversational",
"en",
"license:cc-by-nc-4.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_messag... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": "transformers", "license": "cc-by-nc-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # Model Information
We introduce **Nemotron-UltraLong-8B**, a series of ultra-long context language models designed to process extensive sequences of text (up to 1M, 2M, and 4M tokens) while maintaining competitive performance on standard benchmarks. Built on the Llama-3.1, UltraLong-8B leverages a systematic training... | null | [
"cc-by-nc-4.0"
] | null | [
"en"
] | null | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
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"Split",
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"models": [
{
"_id": "66944f1fe0c5c2e493a804f5",
"id": "meta-llama/Llama-3.1-8B"
}
],
"relation": "quantized"
} | 219,928 | 560,224 | False | 2024-07-31T00:46:35Z | 2025-03-25T18:27:33Z | transformers | 10 | 0 | null | text-generation | {"parameters": {"F16": 1050939840, "F8_E4M3": 6979321856}, "total": 8030261696} | [
".gitattributes",
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] | 881d74b74ad8ebe8775fb178b1fd0c935477f1bc | [
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"base_model:quantized:meta-llama/Llama-3.1-8B",
"license:llama3.1",
"text-generation-inference",
"endpoints_compatible",... | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "quantization_config": {"quant_method": "compressed-tensors"}, "tokenizer_config": {"bos_token": "<|begin_of_text|>", "eos_token": "<|end_of_text|>", "pad_token": "<|end_of_text|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "meta-llama/Meta-Llama-3.1-8B", "datasets": null, "eval_results": null, "language": ["en", "de", "fr", "it", "pt", "hi", "es", "th"], "library_name": null, "license": "llama3.1", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["... | null | null | [
"llama3.1"
] | null | [
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th"
] | 8,030,261,696 | null | null | [
"AutoModelForCausalLM",
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621ffdc136468d709f17f30b | 46d235b5281718fd | 70bd27c212bc339c | 50,265 | BPE | 50,000 | false | true | true | true | 5 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 1,046 | raynardj/ner-disease-ncbi-bionlp-bc5cdr-pubmed | raynardj | null | 54 | 78,204 | False | 2022-03-02T23:29:05Z | 2021-11-05T07:33:08Z | transformers | 11 | 0 | null | token-classification | null | [
".gitattributes",
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"tokenizer_config.json",
"vocab.json"
] | 60897ba4bdcfb7f6cf88d18f75bbd0f9399f5908 | [
"transformers",
"pytorch",
"roberta",
"token-classification",
"ner",
"ncbi",
"disease",
"pubmed",
"bioinfomatics",
"en",
"dataset:ncbi-disease",
"dataset:bc5cdr",
"license:apache-2.0",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["RobertaForTokenClassification"], "model_type": "roberta", "tokenizer_config": {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["ncbi-disease", "bc5cdr"], "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": ["ner", "ncbi", "disease", "pubmed", "bioinfomatics"], "wid... | # NER to find Gene & Gene products
> The model was trained on ncbi-disease, BC5CDR dataset, pretrained on this [pubmed-pretrained roberta model](/raynardj/roberta-pubmed)
All the labels, the possible token classes.
```json
{"label2id": {
"O": 0,
"Disease":1,
}
}
```
Notice, we removed the 'B-','I-' etc fro... | null | [
"apache-2.0"
] | [
"ncbi-disease",
"bc5cdr"
] | [
"en"
] | null | null | null | [
"roberta",
"AutoModelForTokenClassification",
"RobertaForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
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"ByteLevel"
] | [
"ByteLevel"
] | 577 | sdadas/polish-gpt2-medium | sdadas | null | 399 | 82,684 | False | 2022-09-28T18:23:12Z | 2023-03-16T20:17:42Z | transformers | 5 | 0 | null | text-generation | {"parameters": {"F32": 356837376, "U8": 100663296}, "total": 457500672} | [
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] | de0a918249d32bfa2c104a7d01818c667260f0f0 | [
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"pl",
"license:lgpl",
"text-generation-inference",
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] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["pl"], "library_name": null, "license": "lgpl", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | null | [
"lgpl"
] | null | [
"pl"
] | 457,500,672 | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] | |
6646a2bd1db51ca3833c6541 | 92d3817eb8451b09 | bb934deee7caecac | 41,472 | BPE | 63,863 | true | false | true | true | 9 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 1,047 | OpenBuddy/openbuddy-mistral-22b-v21.1-32k | OpenBuddy | null | 7,766 | 115,359 | False | 2024-05-17T00:20:13Z | 2024-05-17T01:11:19Z | transformers | 4 | 0 | null | text-generation | {"parameters": {"BF16": 22354237440}, "total": 22354237440} | [
".gitattributes",
"Evaluation.txt",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00010.safetensors",
"model-00002-of-00010.safetensors",
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"model-00004-of-00010.safetensors",
"model-00005-of-00010.safetensors",
"model-00006-of-00010.safe... | d90657108901e67b0067d38f329e74537921f839 | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mixtral",
"conversational",
"zh",
"en",
"fr",
"de",
"ja",
"ko",
"it",
"ru",
"fi",
"license:apache-2.0",
"text-generation-inference",
"deploy:azure",
"region:us"
] | null | {"architectures": ["MistralForCausalLM"], "model_type": "mistral", "tokenizer_config": {"bos_token": "<s>", "chat_template": "{% for message in messages %}{{'<|role|>' + message['role'] + '<|says|>' + message['content'] + '<|end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|role|>assistant<|says|>' }}{% en... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["zh", "en", "fr", "de", "ja", "ko", "it", "ru", "fi"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["mixtral"... | # OpenBuddy - Open Multilingual Chatbot
GitHub and Usage Guide: [https://github.com/OpenBuddy/OpenBuddy](https://github.com/OpenBuddy/OpenBuddy)
Website and Demo: [https://openbuddy.ai](https://openbuddy.ai)
Evaluation result of this model: [Evaluation.txt](Evaluation.txt)
![Demo](https://raw.githubusercontent.com/... | null | [
"apache-2.0"
] | null | [
"zh",
"en",
"fr",
"de",
"ja",
"ko",
"it",
"ru",
"fi"
] | 22,354,237,440 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
66f264f40fa7f61205bdc9c3 | a4004d7abf69382e | ffc911e785abe60e | 151,665 | BPE | 151,387 | true | true | true | true | 22 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 1,048 | DeepMount00/Lexora-Medium-7B | DeepMount00 | null | 2,433 | 85,329 | False | 2024-09-24T07:06:28Z | 2024-10-19T13:36:42Z | transformers | 5 | 0 | null | text-generation | {"parameters": {"BF16": 7615616512}, "total": 7615616512} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00004.safetensors",
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"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"special_to... | bd14fecfe27f5823fbd6e299984c6196ff6d5d3b | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"it",
"en",
"dataset:DeepMount00/Sonnet-3.5-ITA-INSTRUCTION",
"dataset:DeepMount00/Sonnet-3.5-ITA-DPO",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "tokenizer_config": {"bos_token": null, "chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are a helpful assistant.' ... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["DeepMount00/Sonnet-3.5-ITA-INSTRUCTION", "DeepMount00/Sonnet-3.5-ITA-DPO"], "eval_results": null, "language": ["it", "en"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "... | ## How to Use
```python
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
model_name = "DeepMount00/Lexora-Medium-7B"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(
model_name,
torch_dtype=torch.bfloat16,
device_map="auto",
)
p... | null | [
"apache-2.0"
] | [
"DeepMount00/Sonnet-3.5-ITA-INSTRUCTION",
"DeepMount00/Sonnet-3.5-ITA-DPO"
] | [
"it",
"en"
] | 7,615,616,512 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65d8ef9bc3e37ebc67b1fefb | 099efed77b535bd4 | c81b23e1dcb12302 | 50,280 | BPE | 50,009 | true | true | true | true | 28 | NFC | ByteLevel | ByteLevel | [
"NFC"
] | [
"ByteLevel"
] | [
"ByteLevel"
] | 616 | allenai/OLMo-7B-Instruct | allenai | null | 5,931 | 85,833 | False | 2024-02-23T19:18:51Z | 2024-10-15T21:04:00Z | transformers | 53 | 0 | null | text-generation | {"parameters": {"BF16": 6888095744}, "total": 6888095744} | [
".gitattributes",
"README.md",
"config.json",
"configuration_olmo.py",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"modeling_olmo.py",
"pytorch_model-00001-of-00002.bin",
"pytorch_model-00002-of-00002.bin",
"pytorch_model.bin.index.json... | 5e3ff29c568c175562a78d726c1bd027a0bc6166 | [
"transformers",
"pytorch",
"safetensors",
"hf_olmo",
"text-generation",
"conversational",
"custom_code",
"en",
"dataset:allenai/dolma",
"dataset:allenai/tulu-v2-sft-mixture",
"dataset:allenai/ultrafeedback_binarized_cleaned",
"arxiv:2402.00838",
"license:apache-2.0",
"region:us"
] | null | {"architectures": ["OLMoForCausalLM"], "auto_map": {"AutoConfig": "configuration_olmo.OLMoConfig", "AutoModelForCausalLM": "modeling_olmo.OLMoForCausalLM"}, "model_type": "hf_olmo", "tokenizer_config": {"eos_token": "<|endoftext|>", "pad_token": "<|padding|>", "chat_template": "{{ eos_token }}{% for message in messages... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": "modeling_olmo.OLMoForCausalLM",
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": null, "datasets": ["allenai/dolma", "allenai/tulu-v2-sft-mixture", "allenai/ultrafeedback_binarized_cleaned"], "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, "t... | <img src="https://allenai.org/olmo/olmo-7b-animation.gif" alt="OLMo Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for OLMo 7B Instruct
**For transformers versions v4.40.0 or newer, we suggest using [OLMo 7B Instruct HF](https://huggingface.co/allenai/OLMo-7B-Instruct... | null | [
"apache-2.0"
] | [
"allenai/dolma",
"allenai/tulu-v2-sft-mixture",
"allenai/ultrafeedback_binarized_cleaned"
] | [
"en"
] | 6,888,095,744 | null | null | [
"modeling_olmo.OLMoForCausalLM",
"AutoModelForCausalLM",
"hf_olmo",
"OLMoForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc136468d709f17fd23 | b87507749bd6177f | 2c0db0e696808072 | 50,101 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 1,049 | remotejob/gradientclassification_v0 | remotejob | null | 8 | 77,839 | False | 2022-03-02T23:29:05Z | 2021-11-12T22:55:12Z | transformers | 0 | 0 | null | text-classification | null | [
".gitattributes",
"config.json",
"pytorch_model.bin",
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"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | a9178cb4e1f714eb99b5076f363a5f4ddab726c6 | [
"transformers",
"pytorch",
"rust",
"bert",
"text-classification",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForSequenceClassification"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"BertForSequenceClassification",
"bert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
662b41b6f28e846f6ef8f8b7 | cb3f886e13ad7505 | 1f1d26e73b02d1f3 | 49,152 | BPE | 48,891 | false | true | false | true | 19 | null | Sequence | ByteLevel | null | [
"Digits",
"ByteLevel"
] | [
"ByteLevel"
] | 70 | ibm-granite/granite-20b-code-instruct-8k | ibm-granite | {
"models": [
{
"_id": "6624c524ea4f4ed06684870f",
"id": "ibm-granite/granite-20b-code-base-8k"
}
],
"relation": "finetune"
} | 1,328 | 83,213 | False | 2024-04-26T05:55:02Z | 2024-09-02T05:50:25Z | transformers | 42 | 0 | [{"name": "granite-20b-code-instruct-8k", "results": [{"task": {"type": "text-generation"}, "dataset": {"type": "bigcode/humanevalpack", "name": "HumanEvalSynthesis(Python)"}, "metrics": [{"name": "pass@1", "type": "pass@1", "value": 60.4, "veriefied": false, "verified": false}]}, {"task": {"type": "text-generation"}, ... | text-generation | {"parameters": {"BF16": 20066993152}, "total": 20066993152} | [
".gitattributes",
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"config.json",
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"model-00006-of-00009.safetensors",
"model-0... | 64549882b5a21f15ebc25f757ef7b9127e5e0a50 | [
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"text-generation",
"code",
"granite",
"conversational",
"dataset:bigcode/commitpackft",
"dataset:TIGER-Lab/MathInstruct",
"dataset:meta-math/MetaMathQA",
"dataset:glaiveai/glaive-code-assistant-v3",
"dataset:glaive-function-calling-v2",
"dataset:... | null | {"architectures": ["GPTBigCodeForCausalLM"], "model_type": "gpt_bigcode", "tokenizer_config": {"bos_token": "<|endoftext|>", "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ 'Question:\n' + message['content'] + '\n\n' }}{% elif message['role'] == 'system' %}\n{{ 'System:\n' + mess... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "ibm-granite/granite-20b-code-base-8k", "datasets": ["bigcode/commitpackft", "TIGER-Lab/MathInstruct", "meta-math/MetaMathQA", "glaiveai/glaive-code-assistant-v3", "glaive-function-calling-v2", "bugdaryan/sql-create-context-instruction", "garage-bAInd/Open-Platypus", "nvidia/HelpSteer"], "library_name": ... | 
# Granite-20B-Code-Instruct-8K
## Model Summary
**Granite-20B-Code-Instruct-8K** is a 20B parameter model fine tuned from *Granite-20B-Code-Base-8K* on a combination of **permissively licensed** inst... | null | [
"apache-2.0"
] | [
"bigcode/commitpackft",
"TIGER-Lab/MathInstruct",
"meta-math/MetaMathQA",
"glaiveai/glaive-code-assistant-v3",
"glaive-function-calling-v2",
"bugdaryan/sql-create-context-instruction",
"garage-bAInd/Open-Platypus",
"nvidia/HelpSteer"
] | null | 20,066,993,152 | null | [
"code_eval"
] | [
"gpt_bigcode",
"AutoModelForCausalLM",
"GPTBigCodeForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65d15f5b95e8d86e2fab6b1f | 6d13034da2c84872 | 0b03150364c60cb7 | 101,376 | BPE | 99,757 | true | true | true | true | 1,376 | Sequence | Sequence | ByteLevel | [] | [
"Split",
"Split",
"Split",
"Split",
"Split",
"Digits",
"ByteLevel"
] | [
"ByteLevel"
] | 1,050 | OpenBuddy/openbuddy-deepseek-67b-v18.1-4k | OpenBuddy | null | 7,940 | 116,025 | False | 2024-02-18T01:37:31Z | 2024-03-05T01:44:16Z | transformers | 1 | 0 | [{"name": "openbuddy-deepseek-67b-v18.1-4k", "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": 67.75... | text-generation | {"parameters": {"BF16": 67425001472}, "total": 67425001472} | [
".gitattributes",
"Evaluation.txt",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00028.safetensors",
"model-00002-of-00028.safetensors",
"model-00003-of-00028.safetensors",
"model-00004-of-00028.safetensors",
"model-00005-of-00028.safetensors",
"model-00006-of-00028.safe... | 897fd7543d9b2abe04b9a5b92db79c090bc169ce | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"zh",
"en",
"fr",
"de",
"ja",
"ko",
"it",
"ru",
"fi",
"license:other",
"model-index",
"text-generation-inference",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<\uff5cbegin\u2581of\u2581sentence\uff5c>", "eos_token": "<\uff5cend\u2581of\u2581sentence\uff5c>", "pad_token": "<|pad|>", "unk_token": null, "use_default_system_prompt": false, "chat_template": "{% for message in message... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"language": ["zh", "en", "fr", "de", "ja", "ko", "it", "ru", "fi"], "library_name": "transformers", "license": "other", "license_name": "deepseek", "license_link": "https://github.com/deepseek-ai/DeepSeek-LLM/blob/548a39bdd03986297ea4e233a8b7676edd6bec3e/LICENSE-MODEL", "pipeline_tag": "text-generation", "inference": ... | # OpenBuddy - Open Multilingual Chatbot
GitHub and Usage Guide: [https://github.com/OpenBuddy/OpenBuddy](https://github.com/OpenBuddy/OpenBuddy)
Website and Demo: [https://openbuddy.ai](https://openbuddy.ai)
Evaluation result of this model: [Evaluation.txt](Evaluation.txt)
![Demo](https://raw.githubusercontent.com/... | null | [
"other",
"deepseek",
"https://github.com/deepseek-ai/DeepSeek-LLM/blob/548a39bdd03986297ea4e233a8b7676edd6bec3e/LICENSE-MODEL"
] | null | [
"zh",
"en",
"fr",
"de",
"ja",
"ko",
"it",
"ru",
"fi"
] | 67,425,001,472 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
67bf09e1f2ff39d67e9b6deb | 6e6a83dc4b556c95 | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 111 | kakaocorp/kanana-nano-2.1b-base | kakaocorp | null | 662 | 86,036 | False | 2025-02-26T12:32:33Z | 2025-02-27T03:53:34Z | transformers | 39 | 0 | [{"name": "kanana-nano-2.1b-base", "results": [{"task": {"type": "multiple_choice", "name": "mmlu"}, "dataset": {"name": "mmlu (5-shots)", "type": "hails/mmlu_no_train"}, "metrics": [{"type": "acc", "value": 54.83, "name": "acc", "verified": false}]}, {"task": {"type": "generate_until", "name": "kmmlu"}, "dataset": {"n... | text-generation | {"parameters": {"BF16": 2086979328}, "total": 2086979328} | [
".gitattributes",
"README.md",
"assets/logo/kanana-logo.png",
"assets/performance/flops-vs-mmlu.jpg",
"config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | 3d1ace1214dbebf52b9d2cd6f18b78857194d72b | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"en",
"ko",
"arxiv:2502.18934",
"license:cc-by-nc-4.0",
"model-index",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|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"
} | {"language": ["en", "ko"], "library_name": "transformers", "license": "cc-by-nc-4.0", "pipeline_tag": "text-generation", "model_id": "kakaocorp/kanana-nano-2.1b-base", "repo": "kakaocorp/kanana-nano-2.1b-base", "developers": "Kanana LLM", "training_regime": "bf16 mixed precision", "model-index": [{"name": "kanana-nano-... | # Kanana
<p align="center">
<br>
<picture>
<img src="./assets/logo/kanana-logo.png" width="60%" style="margin: 40px auto;">
</picture>
</br>
<p align="center"> 🤗 <a href="https://huggingface.co/collections/kakaocorp/kanana-nano-21b-67a326cda1c449c8d4172259">Models</a>   |   📕 <a href="https://... | null | [
"cc-by-nc-4.0"
] | null | [
"en",
"ko"
] | 2,086,979,328 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6661e5430ad8c45a1cc6d5c3 | d1f7b564c2930d23 | f421db8e54a85138 | 151,647 | BPE | 151,387 | true | true | true | true | 4 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 1,051 | unsloth/Qwen2-0.5B-bnb-4bit | unsloth | null | 1,291 | 82,002 | False | 2024-06-06T16:35:15Z | 2024-09-03T03:45:20Z | transformers | 3 | 0 | null | text-generation | {"parameters": {"F32": 67536, "BF16": 136206208, "U8": 369065954}, "total": 505339698} | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 116cd8ff5ea4baab3905b6a9445fef8c6b4a3590 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"unsloth",
"conversational",
"en",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"4-bit",
"bitsandbytes",
"region:us"
] | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "quantization_config": {"load_in_4bit": true, "load_in_8bit": false, "quant_method": "bitsandbytes"}, "tokenizer_config": {"bos_token": null, "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_star... | {
"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", "qwen2"]} | # Finetune Mistral, Gemma, Llama 2-5x faster with 70% less memory via Unsloth!
We have a Google Colab Tesla T4 notebook for Qwen2 7b here: https://colab.research.google.com/drive/1mvwsIQWDs2EdZxZQF9pRGnnOvE86MVvR?usp=sharing
And a Colab notebook for [Qwen2 0.5b](https://colab.research.google.com/drive/1-7tjDdMAyeCueyL... | null | [
"apache-2.0"
] | null | [
"en"
] | 505,339,698 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
64d40410508a6313e330cf6f | e23b6bdbe047bb7e | 8bd7d71767538b82 | 32,000 | BPE | 61,249 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 46 | garage-bAInd/Camel-Platypus2-70B | garage-bAInd | null | 906 | 81,981 | False | 2023-08-09T21:24:32Z | 2024-01-04T02:23:27Z | transformers | 16 | 0 | null | text-generation | {"parameters": {"F16": 68976648192}, "total": 68976648192} | [
".gitattributes",
"Best_Platty_small.jpeg",
"README.md",
"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-00... | 404db596c278f050ba15b8115259d7cd9a9f40d0 | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"en",
"dataset:garage-bAInd/Open-Platypus",
"arxiv:2308.07317",
"arxiv:2307.09288",
"license:cc-by-nc-4.0",
"text-generation-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": {"__type": "AddedToken", "content": "<s>", "lstrip": false, "normalized": false, "rstrip": false, "single_word": false}, "eos_token": {"__type": "AddedToken", "content": "</s>", "lstrip": false, "normalized": false, "rstrip... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["garage-bAInd/Open-Platypus"], "eval_results": null, "language": ["en"], "library_name": null, "license": "cc-by-nc-4.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # Camel-Platypus2-70B
Camel-Platypus2-70B is a merge of [`garage-bAInd/Platypus2-70B`](https://huggingface.co/garage-bAInd/Platypus2-70B) and [`augtoma/qCammel-70-x`](https://huggingface.co/augtoma/qCammel-70-x).
### Model Details
* **Trained by**: **Platypus2-70B** trained by Co... | null | [
"cc-by-nc-4.0"
] | [
"garage-bAInd/Open-Platypus"
] | [
"en"
] | 68,976,648,192 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc136468d709f18029e | 53ecf467267e2824 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 0 | sentence-transformers/bert-base-nli-cls-token | sentence-transformers | null | 3,438 | 83,129 | False | 2022-03-02T23:29:05Z | 2025-03-06T13:19:12Z | sentence-transformers | 2 | 0 | null | sentence-similarity | {"parameters": {"I64": 512, "F32": 109482240}, "total": 109482752} | [
".gitattributes",
"1_Pooling/config.json",
"README.md",
"added_tokens.json",
"config.json",
"config_sentence_transformers.json",
"flax_model.msgpack",
"model.safetensors",
"modules.json",
"onnx/model.onnx",
"onnx/model_O1.onnx",
"onnx/model_O2.onnx",
"onnx/model_O3.onnx",
"onnx/model_O4.on... | 710678233a49c038e7cc9f04dfa38f67a2b6cfb1 | [
"sentence-transformers",
"pytorch",
"tf",
"jax",
"onnx",
"safetensors",
"openvino",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"arxiv:1908.10084",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertModel"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "sentence-transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "sentence-similarity", "tags": ["sentence-transformers", "feature-extraction",... | # bert-base-nli-cls-token
**⚠️ This model is deprecated. Please don't use it as it produces sentence embeddings of low quality. You can find recommended sentence embedding models here: [SBERT.net - Pretrained Models](https://www.sbert.net/docs/pretrained_models.html)**
This is a [sentence-transformers](https://www.SB... | null | [
"apache-2.0"
] | null | null | 109,482,752 | null | null | [
"BertModel",
"AutoModel",
"bert"
] | [
"sentence-similarity",
"feature-extraction"
] | [
"text",
"multimodal"
] | [
"text"
] | [
"logits",
"embeddings"
] |
662c9a49b7c202c08444fb41 | 34093184d10f76a9 | 35b001f3a491f9f9 | 151,646 | BPE | 151,387 | true | true | true | true | 3 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 53 | Qwen/Qwen1.5-110B-Chat-AWQ | Qwen | null | 93,785 | 514,792 | False | 2024-04-27T06:25:13Z | 2024-04-30T07:22:47Z | transformers | 9 | 0 | null | text-generation | {"parameters": {"I32": 108716359680, "F16": 2493554688}, "total": 111209914368} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00016.safetensors",
"model-00002-of-00016.safetensors",
"model-00003-of-00016.safetensors",
"model-00004-of-00016.safetensors",
"model-00005-of-00016.safetensors",
"model-00006-of-0... | acd2be6554b35d73a1d536d7c661b0b0badb35e6 | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"arxiv:2309.16609",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"4-bit",
"awq",
"region:us"
] | null | {"architectures": ["Qwen2ForCausalLM"], "model_type": "qwen2", "quantization_config": {"bits": 4, "quant_method": "awq"}, "tokenizer_config": {"bos_token": null, "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["en"], "library_name": null, "license": "other", "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-110B-Chat-AWQ/blob/main/LICENSE", "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tag... | # Qwen1.5-110B-Chat-AWQ
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 9 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B, 72B, and 110B dense m... | null | [
"other",
"tongyi-qianwen",
"https://huggingface.co/Qwen/Qwen1.5-110B-Chat-AWQ/blob/main/LICENSE"
] | null | [
"en"
] | 111,209,914,368 | null | null | [
"AutoModelForCausalLM",
"Qwen2ForCausalLM",
"qwen2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
62ef533d4ef4858b1d4c5259 | d2db7d84eaabb504 | f148453ab4599061 | 100,000 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 744 | Ammar-alhaj-ali/arabic-MARBERT-sentiment | Ammar-alhaj-ali | null | 412 | 80,157 | False | 2022-08-07T05:53:01Z | 2022-08-09T21:03:29Z | transformers | 12 | 0 | null | text-classification | null | [
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"text classification",
"Sentiment",
"ar",
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"endpoints_compatible",
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] | 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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#### Model description
**Arabic-MARBERT-Sentiment Model** is a Sentiment analysis model that was built by fine-tuning the [MARBERT](https://huggingface.co/UBC-NLP/MARBERT) model. For the fine-tuning, I used [KAUST dataset](https://www.kaggle.com/competitions/arabic-sentiment-analysis-2... | null | null | null | [
"ar"
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"AutoModelForSequenceClassification"
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"text-classification"
] | [
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"text"
] | [
"logits"
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"Prepend",
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"transformers",
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"text-generation",
"mixtral",
"conversational",
"zh",
"en",
"fr",
"de",
"ja",
"ko",
"it",
"ru",
"fi",
"license:apache-2.0",
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] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|startoftext|>", "chat_template": "{% for message in messages %}{{'<|role|>' + message['role'] + '<|says|>' + message['content'] + '<|end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|role|>assistant<|says|>'... | {
"auto_model": "AutoModelForCausalLM",
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"pipeline_tag": "text-generation",
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["zh", "en", "fr", "de", "ja", "ko", "it", "ru", "fi"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["mixtral"... | # OpenBuddy - Open Multilingual Chatbot
GitHub and Usage Guide: [https://github.com/OpenBuddy/OpenBuddy](https://github.com/OpenBuddy/OpenBuddy)
Website and Demo: [https://openbuddy.ai](https://openbuddy.ai)
Evaluation result of this model: [Evaluation.txt](Evaluation.txt)
![Demo](https://raw.githubusercontent.com/... | null | [
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"feature-extraction",
"sentence-similarity",
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"arxiv:1908.10084",
"license:apache-2.0",
"text-embeddings-inference",
"endpoints_compatible",
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] | null | {"architectures": ["XLMRobertaModel"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": ... | {
"auto_model": "AutoModel",
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} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "sentence-transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "sentence-similarity", "tags": ["sentence-transformers", "feature-extraction",... | **⚠️ This model is deprecated. Please don't use it as it produces sentence embeddings of low quality. You can find recommended sentence embedding models here: [SBERT.net - Pretrained Models](https://www.sbert.net/docs/pretrained_models.html)**
# sentence-transformers/xlm-r-large-en-ko-nli-ststb
This is a [sentence-t... | null | [
"apache-2.0"
] | null | null | 559,890,946 | null | null | [
"XLMRobertaModel",
"AutoModel",
"xlm-roberta"
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"multimodal"
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"text"
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"logits",
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"Prepend",
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"Replace",
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"Fuse",
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{
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}
],
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} | 159 | 77,856 | False | 2023-08-03T09:33:20Z | 2023-09-27T12:45:19Z | transformers | 17 | 0 | null | text-generation | {"parameters": {"F32": 2048, "I32": 6476005376, "F16": 263770112}, "total": 6739777536} | [
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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 | [
"llama2"
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"AutoModelForCausalLM",
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"text-generation"
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"text"
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"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 1,053 | OpenBuddy/openbuddy-zero-56b-v21.2-32k | OpenBuddy | null | 8,518 | 118,516 | False | 2024-06-10T13:23:17Z | 2024-06-10T17:13:32Z | transformers | 0 | 0 | null | text-generation | {"parameters": {"BF16": 56706857984}, "total": 56706857984} | [
".gitattributes",
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"README.md",
"config.json",
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"transformers",
"safetensors",
"llama",
"text-generation",
"llama-3",
"conversational",
"zh",
"en",
"fr",
"de",
"ja",
"ko",
"it",
"fi",
"license:other",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|startoftext|>", "chat_template": "{% for message in messages %}{{'<|role|>' + message['role'] + '<|says|>' + message['content'] + '<|end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|role|>assistant<|says|>'... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["zh", "en", "fr", "de", "ja", "ko", "it", "fi"], "library_name": null, "license": "other", "license_name": "llama3", "license_link": "https://llama.meta.com/llama3/license/", "metrics": null, "model_name": null, "pipeline_tag": "text-generation",... | # OpenBuddy - Open Multilingual Chatbot
GitHub and Usage Guide: [https://github.com/OpenBuddy/OpenBuddy](https://github.com/OpenBuddy/OpenBuddy)
Website and Demo: [https://openbuddy.ai](https://openbuddy.ai)
Evaluation result of this model: [Evaluation.txt](Evaluation.txt)
![Demo](https://raw.githubusercontent.com... | null | [
"other",
"llama3",
"https://llama.meta.com/llama3/license/"
] | null | [
"zh",
"en",
"fr",
"de",
"ja",
"ko",
"it",
"fi"
] | 56,706,857,984 | null | null | [
"AutoModelForCausalLM",
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6447300fa9f9c62e6cd43b1c | 12257e0808ba3d8f | 34d766421d644081 | 51,200 | BPE | 50,000 | false | true | true | true | 944 | null | ByteLevel | ByteLevel | null | [
"ByteLevel"
] | [
"ByteLevel"
] | 256 | Salesforce/codegen2-1B_P | Salesforce | null | 521 | 79,231 | False | 2023-04-25T01:42:39Z | 2025-01-31T21:35:20Z | transformers | 41 | 0 | null | text-generation | null | [
".gitattributes",
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"modeling_codegen.py",
"pytorch_model.bin",
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"tokenizer.json",
"tokenizer_config.json",
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] | 47f05cd3c1b357745fbead74202fc1efe87b6d25 | [
"transformers",
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"codegen",
"text-generation",
"custom_code",
"arxiv:2305.02309",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["CodeGenForCausalLM"], "auto_map": {"AutoConfig": "configuration_codegen.CodeGenConfig", "AutoModel": "modeling_codegen.CodeGenModel", "AutoModelForCausalLM": "modeling_codegen.CodeGenForCausalLM"}, "model_type": "codegen", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_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": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # CodeGen2 (CodeGen2-1B)
## Model description
[CodeGen2](https://github.com/salesforce/CodeGen2) is a family of autoregressive language models for **program synthesis**, introduced in the paper:
[CodeGen2: Lessons for Training LLMs on Programming and Natural Languages](https://arxiv.org/abs/2305.02309) by Erik Nijka... | null | [
"apache-2.0"
] | null | null | null | null | null | [
"AutoModelForCausalLM",
"codegen",
"CodeGenForCausalLM"
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"text"
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660ae906940a8ab2b201139b | 1c2b94bc65ea16ba | 7c4c85b636f4813b | 64,000 | BPE | 110,029 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse"
] | 919 | jondurbin/bagel-dpo-34b-v0.5 | jondurbin | null | 7,840 | 115,169 | False | 2024-04-01T17:04:06Z | 2024-04-17T16:26:22Z | transformers | 17 | 0 | null | text-generation | {"parameters": {"BF16": 34388917248}, "total": 34388917248} | [
".gitattributes",
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"bagel.png",
"config.json",
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"safetensors",
"llama",
"text-generation",
"conversational",
"dataset:ai2_arc",
"dataset:allenai/ultrafeedback_binarized_cleaned",
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"dataset:jondurbin/airoboros-3.2",
"dataset:codeparrot/apps",
"dataset:facebook/belebele",
"data... | 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 ... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": "01-ai/yi-34b-200k", "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-ai/math", "came... | # A bagel, with everything
## Overview
This is a fine-tune of the updated yi-34b-200k with better long-context support, which underwent additional tuning via direct preference optimization (DPO).
See [bagel](https://github.com/jondurbin/bagel) for additional details on the datasets.
The non-DPO... | null | [
"other",
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"https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE"
] | [
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"jondurbin/airoboros-3.2",
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"boolq",
"camel-ai/biology",
"camel-ai/chemistry",
"camel-ai/math",
"camel-ai/physics",
"jondu... | null | 34,388,917,248 | null | null | [
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63b4e5c7a74bd39bf1f6e5e6 | 53ecf467267e2824 | 535fa14da0af647c | 30,522 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 0 | castorini/wiki-all-8-4-multi-dpr2-passage-encoder | castorini | null | 6,019 | 100,694 | False | 2023-01-04T02:34:47Z | 2023-01-05T19:26:22Z | transformers | 0 | 0 | null | feature-extraction | null | [
".gitattributes",
"README.md",
"config.json",
"flax_model.msgpack",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | c35d4e8663ffbbc88e8364e97d5ee95bd6175271 | [
"transformers",
"jax",
"bert",
"feature-extraction",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertModel"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModel",
"custom_class": null,
"pipeline_tag": "feature-extraction",
"processor": "AutoTokenizer"
} | null | Dense passage retriever (DPR) is a dense retrieval method described in the following paper:
> Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih. [Dense Passage Retrieval for Open-Domain Question Answering](https://www.aclweb.org/anthology/2020.emnlp-main.550/)... | null | null | null | null | null | null | null | [
"BertModel",
"AutoModel",
"bert"
] | [
"feature-extraction"
] | [
"multimodal"
] | [
"text"
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"embeddings"
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"Lowercase"
] | [
"Whitespace"
] | [
"BPEDecoder"
] | 1,055 | RUNorm/RUNorm-kirillizator | RUNorm | null | 8,583 | 102,677 | False | 2024-05-05T10:15:07Z | 2024-05-14T00:51:53Z | transformers | 0 | 0 | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"pytorch_model.bin",
"special_tokens_map.json",
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] | b130ae67db4b209babec461767bcd2ace74fe88a | [
"transformers",
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"t5",
"text2text-generation",
"ru",
"license:apache-2.0",
"text-generation-inference",
"deploy:azure",
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] | null | {"architectures": ["T5ForConditionalGeneration"], "model_type": "t5", "tokenizer_config": {}} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["ru"], "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} | Используется в https://github.com/Den4ikAI/runorm
Вы можете поддержать проект деньгами. Это поможет быстрее разрабатывать более качественные новые версии.
CloudTips: https://pay.cloudtips.ru/p/b9d86686 | null | [
"apache-2.0"
] | null | [
"ru"
] | null | null | null | [
"t5",
"T5ForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation"
] | null | null | null |
64c10d4a8137192a1e35ed22 | cb3f886e13ad7505 | 1f1d26e73b02d1f3 | 49,152 | BPE | 48,891 | false | true | false | true | 19 | null | Sequence | ByteLevel | null | [
"Digits",
"ByteLevel"
] | [
"ByteLevel"
] | 70 | bigcode/starcoderbase-7b | bigcode | null | 528 | 81,386 | auto | 2023-07-26T12:10:50Z | 2024-08-22T07:40:48Z | transformers | 36 | 0 | [{"name": "StarCoder-7B", "results": [{"task": {"type": "text-generation"}, "dataset": {"type": "openai_humaneval", "name": "HumanEval"}, "metrics": [{"name": "pass@1", "type": "pass@1", "value": 28.37, "verified": false}]}, {"task": {"type": "text-generation"}, "dataset": {"type": "nuprl/MultiPL-E", "name": "MultiPL-H... | text-generation | {"parameters": {"F32": 7528589824}, "total": 7528589824} | [
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"pytorch_model-00001-of-00004.bin"... | 94e20e98e189b1d6dccd56e932667bd85cc7c393 | [
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"gpt_bigcode",
"text-generation",
"code",
"dataset:bigcode/the-stack-dedup",
"arxiv:1911.02150",
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"arxiv:2207.14255",
"arxiv:2305.06161",
"license:bigcode-openrail-m",
"model-index",
"text-generation-inference",
"endpoints_comp... | null | {"architectures": ["GPTBigCodeForCausalLM"], "model_type": "gpt_bigcode", "tokenizer_config": {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"datasets": ["bigcode/the-stack-dedup"], "library_name": "transformers", "license": "bigcode-openrail-m", "metrics": ["code_eval"], "pipeline_tag": "text-generation", "tags": ["code"], "inference": true, "widget": [{"text": "def print_hello_world():", "example_title": "Hello world", "group": "Python"}], "extra_gated_p... | null | null | [
"bigcode-openrail-m"
] | [
"bigcode/the-stack-dedup"
] | null | 7,528,589,824 | null | [
"code_eval"
] | [
"gpt_bigcode",
"AutoModelForCausalLM",
"GPTBigCodeForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
65b568b2e02a17f0f851aaaa | 88cd37e502d27a0a | 0e7bc0977f200d1c | 32,000 | BPE | 58,980 | true | false | true | true | 3 | Sequence | null | Sequence | [
"Prepend",
"Replace"
] | null | [
"Replace",
"ByteFallback",
"Fuse",
"Strip"
] | 88 | macadeliccc/WestLake-7B-v2-laser-truthy-dpo | macadeliccc | null | 121 | 77,577 | False | 2024-01-27T20:33:54Z | 2024-03-04T19:25:24Z | transformers | 25 | 0 | [{"name": "WestLake-7B-v2-laser-truthy-dpo", "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": 73.89... | text-generation | {"parameters": {"F16": 7241732096}, "total": 7241732096} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00003.safetensors",
"model-00002-of-00003.safetensors",
"model-00003-of-00003.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer.model",
"tokenizer_config.... | 658f68a5e7402f5967c68fd668b1330fcd2c6593 | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"dataset:jondurbin/truthy-dpo-v0.1",
"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>", "eos_token": "</s>", "pad_token": "<unk>", "unk_token": "<unk>", "use_default_system_prompt": true}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"datasets": ["jondurbin/truthy-dpo-v0.1"], "library_name": "transformers", "license": "apache-2.0", "model-index": [{"name": "WestLake-7B-v2-laser-truthy-dpo", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "confi... | # WestLake-7B-v2-laser-truthy-dpo
## Process
+ Trained [cognitivecomputations/WestLake-7B-v2-laser](https://huggingface.co/cognitivecomputations/WestLake-7B-v2-laser) on jondurbin/truthy-dpo-v0.1
+ Completed 2 epochs
+ 2e-5 learning rate
## Evaluations
![image/png](https://... | null | [
"apache-2.0"
] | [
"jondurbin/truthy-dpo-v0.1"
] | null | 7,241,732,096 | null | null | [
"AutoModelForCausalLM",
"mistral",
"MistralForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
664c2dada6bd1b3d2aefe6be | 6e6a83dc4b556c95 | a1f1bd381dcb9329 | 128,256 | BPE | 280,147 | false | true | true | true | 256 | null | Sequence | ByteLevel | null | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 111 | xiangxinai/Xiangxin-2XL-Chat-1048k-Chinese-Llama3-70B | xiangxinai | null | 8,346 | 118,191 | False | 2024-05-21T05:14:21Z | 2025-08-19T02:01:27Z | transformers | 4 | 0 | null | text-generation | {"parameters": {"F16": 70553706496}, "total": 70553706496} | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00030.safetensors",
"model-00002-of-00030.safetensors",
"model-00003-of-00030.safetensors",
"model-00004-of-00030.safetensors",
"model-00005-of-00030.safetensors",
"model-00006-of-00030.safetensors",
"model-0... | caba3f36c1f88e75a4ae592526b8e6577927d7d4 | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"zh",
"en",
"license:llama3",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["LlamaForCausalLM"], "model_type": "llama", "tokenizer_config": {"bos_token": "<|begin_of_text|>", "chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|e... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["zh", "en"], "library_name": null, "license": "llama3", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": null} | <div align="center">
<picture>
<img src="https://github.com/xiangxinai/XiangxinLM/blob/main/assets/logo.png?raw=true" width="150px">
</picture>
</div>
<div align="center">
<h1>
Xiangxin-2XL-Chat-1048k
</h1>
</div>
我们提供私有化模型训练服务，如果您需要训练行业模型、领域模型或者私有模型，请联系我们: wanglei@xiangxinai.cn
We offer customized model train... | null | [
"llama3"
] | null | [
"zh",
"en"
] | 70,553,706,496 | null | null | [
"AutoModelForCausalLM",
"llama",
"LlamaForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
68b159467c2485b297655f40 | 35091a079d4c521a | 6911adca0047d5b6 | 131,072 | BPE | 130,592 | false | true | true | true | 224 | null | Sequence | ByteLevel | null | [
"Split",
"Split",
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 1,056 | meituan-longcat/LongCat-Flash-Chat | meituan-longcat | null | 42,941 | 221,374 | False | 2025-08-29T07:39:50Z | 2025-09-24T04:00:10Z | LongCat-Flash-Chat | 527 | 0 | null | text-generation | {"parameters": {"BF16": 561730738176, "F32": 132142080}, "total": 561862880256} | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"configuration_longcat_flash.py",
"generation_config.json",
"model.safetensors.index.json",
"model_00001-of-00075.safetensors",
"model_00002-of-00075.safetensors",
"model_00003-of-00075.safetensors",
"model_00004-of-00075.safetensors",
"... | f0b8e8d7380330f450ca1fde4ec56823a514584c | [
"LongCat-Flash-Chat",
"safetensors",
"text-generation",
"transformers",
"conversational",
"custom_code",
"arxiv:2509.01322",
"license:mit",
"region:us"
] | null | {"architectures": ["LongcatFlashForCausalLM"], "auto_map": {"AutoConfig": "configuration_longcat_flash.LongcatFlashConfig", "AutoModel": "modeling_longcat_flash.LongcatFlashModel", "AutoModelForCausalLM": "modeling_longcat_flash.LongcatFlashForCausalLM"}, "tokenizer_config": {"bos_token": {"__type": "AddedToken", "cont... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": null
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "LongCat-Flash-Chat", "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": "text-generation", "tags": ["transformers"]} | # LongCat-Flash-Chat
<div align="center">
<img src="https://raw.githubusercontent.com/meituan-longcat/LongCat-Flash-Chat/main/figures/longcat_logo.svg"
width="300"
alt="LongCat Logo"/>
</div>
<hr>
<div align="center" style="line-height: 1;">
<a href="https://longcat.ai/" target="_blank" style="m... | null | [
"mit"
] | null | null | 561,862,880,256 | null | null | [
"AutoModelForCausalLM",
"LongcatFlashForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
68a7ea01248f25cce62eb41d | 9baf32eaba6e2bf5 | 581b243d041ef3f5 | 128,815 | BPE | 127,741 | true | true | true | true | 818 | Sequence | Sequence | ByteLevel | [] | [
"Split",
"Split",
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 341 | TMElyralab/DeepSeek-V3.1-AWQ-W4AFP8 | TMElyralab | null | 14 | 77,275 | False | 2025-08-22T03:54:41Z | 2025-08-28T08:18:54Z | transformers | 6 | 0 | null | text-generation | null | [
".gitattributes",
"README.md",
"config.json",
"configuration_deepseek.py",
"generation_config.json",
"model-00001-of-00073.safetensors",
"model-00002-of-00073.safetensors",
"model-00003-of-00073.safetensors",
"model-00004-of-00073.safetensors",
"model-00005-of-00073.safetensors",
"model-00006-of... | da9ce037cc144021ffc1e91deb81207966ada7a7 | [
"transformers",
"safetensors",
"deepseek_v3",
"text-generation",
"conversational",
"custom_code",
"arxiv:2412.19437",
"license:mit",
"text-generation-inference",
"endpoints_compatible",
"4-bit",
"awq",
"region:us"
] | null | {"architectures": ["DeepseekV3ForCausalLM"], "auto_map": {"AutoConfig": "configuration_deepseek.DeepseekV3Config", "AutoModel": "modeling_deepseek.DeepseekV3Model", "AutoModelForCausalLM": "modeling_deepseek.DeepseekV3ForCausalLM"}, "model_type": "deepseek_v3", "quantization_config": {"bits": 4, "quant_method": "awq"},... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": "transformers", "license": "mit", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null} | # DeepSeek-V3.1-AWQ-W4AFP8
This model is a W4AFP8 quantized DeepSeek-V3.1 with AWQ quantizaton.
Releated PR：https://github.com/sgl-project/sglang/pull/8573
Releated Project: https://github.com/TMElyralab/sglang/tree/lyra_w4afp8
## Benchmark
Test configuration: input/output len = 1000/1000, qps=64, max_con... | null | [
"mit"
] | null | null | null | null | null | [
"AutoModelForCausalLM",
"deepseek_v3",
"DeepseekV3ForCausalLM"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
6824a0802bca7e78843b0ee8 | 848b60b6cd304b65 | ffc911e785abe60e | 151,665 | BPE | 151,387 | true | true | true | true | 22 | NFC | Sequence | ByteLevel | [
"NFC"
] | [
"Split",
"ByteLevel"
] | [
"ByteLevel"
] | 15 | typhoon-ai/typhoon-ocr-7b | typhoon-ai | {
"models": [
{
"_id": "6795ffcd88cd7c0294702a72",
"id": "Qwen/Qwen2.5-VL-7B-Instruct"
}
],
"relation": "finetune"
} | 2,322 | 204,606 | False | 2025-05-14T13:54:08Z | 2026-01-22T06:55:28Z | transformers | 78 | 0 | null | image-text-to-text | {"parameters": {"BF16": 8292166656}, "total": 8292166656} | [
".gitattributes",
"README.md",
"added_tokens.json",
"chat_template.json",
"config.json",
"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.in... | 29568c4badf49340691a1b4220d0bf0fec002dd0 | [
"transformers",
"safetensors",
"qwen2_5_vl",
"image-text-to-text",
"OCR",
"vision-language",
"document-understanding",
"multilingual",
"conversational",
"en",
"th",
"arxiv:2601.14722",
"base_model:Qwen/Qwen2.5-VL-7B-Instruct",
"base_model:finetune:Qwen/Qwen2.5-VL-7B-Instruct",
"license:a... | null | {"architectures": ["Qwen2_5_VLForConditionalGeneration"], "model_type": "qwen2_5_vl", "processor_config": {"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a h... | {
"auto_model": "AutoModelForImageTextToText",
"custom_class": null,
"pipeline_tag": "image-text-to-text",
"processor": "AutoProcessor"
} | {"base_model": ["Qwen/Qwen2.5-VL-7B-Instruct"], "datasets": null, "eval_results": null, "language": ["en", "th"], "library_name": "transformers", "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["OCR", "vision-language", "document-u... | null | null | [
"apache-2.0"
] | null | [
"en",
"th"
] | 8,292,166,656 | null | null | [
"qwen2_5_vl",
"AutoModelForImageTextToText",
"Qwen2_5_VLForConditionalGeneration"
] | [
"image-text-to-text"
] | [
"multimodal"
] | [
"text",
"image"
] | [
"text"
] |
66375b6e39a7401f16822342 | 53b08b1def50e627 | d806d17fa63fd462 | 29,564 | WordPiece | null | true | true | true | true | 5 | BertNormalizer | BertPreTokenizer | WordPiece | [
"BertNormalizer"
] | [
"BertPreTokenizer"
] | [
"WordPiece"
] | 233 | RUNorm/RUNorm-tagger | RUNorm | null | 8,546 | 102,323 | False | 2024-05-05T10:11:58Z | 2024-05-14T00:55:21Z | transformers | 0 | 0 | null | token-classification | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | ce379228483424b9bf7cca3175c7777bd53b2945 | [
"transformers",
"pytorch",
"bert",
"token-classification",
"ru",
"license:apache-2.0",
"deploy:azure",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"cls_token": "[CLS]", "mask_token": "[MASK]", "pad_token": "[PAD]", "sep_token": "[SEP]", "unk_token": "[UNK]"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": ["ru"], "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} | Используется в https://github.com/Den4ikAI/runorm
Вы можете поддержать проект деньгами. Это поможет быстрее разрабатывать более качественные новые версии.
CloudTips: https://pay.cloudtips.ru/p/b9d86686 | null | [
"apache-2.0"
] | null | [
"ru"
] | null | null | null | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
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