mirror of
https://github.com/huggingface/text-generation-inference.git
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d9bb9bebc9
* initial changes * Add support for other vlm * cleanup comment * Improve attn_implementation * Add comments for support of models * add model * add model * fixes and improvements * update docker * Add cache position * Add tests * remove redundant changes * remove tr version * Upgrade doc + fix linting. * Fixing the CI. --------- Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
62 lines
3.5 KiB
Markdown
62 lines
3.5 KiB
Markdown
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# Supported Models
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Text Generation Inference enables serving optimized models. The following sections list which models (VLMs & LLMs) are supported.
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- [Deepseek V2](https://huggingface.co/deepseek-ai/DeepSeek-V2)
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- [Deepseek V3](https://huggingface.co/deepseek-ai/DeepSeek-V3)
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- [Idefics 2](https://huggingface.co/HuggingFaceM4/idefics2-8b) (Multimodal)
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- [Idefics 3](https://huggingface.co/HuggingFaceM4/Idefics3-8B-Llama3) (Multimodal)
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- [Llava Next (1.6)](https://huggingface.co/llava-hf/llava-v1.6-vicuna-13b-hf) (Multimodal)
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- [Llama](https://huggingface.co/collections/meta-llama/llama-31-669fc079a0c406a149a5738f)
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- [Llama4](https://huggingface.co/collections/meta-llama/llama-31-669fc079a0c406a149a5738f)
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- [Phi 3](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct)
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- [Granite](https://huggingface.co/ibm-granite/granite-3.0-8b-instruct)
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- [Gemma](https://huggingface.co/google/gemma-7b)
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- [PaliGemma](https://huggingface.co/google/paligemma-3b-pt-224)
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- [Gemma2](https://huggingface.co/collections/google/gemma-2-release-667d6600fd5220e7b967f315)
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- [Gemma3](https://huggingface.co/collections/google/gemma-3-release-67c6c6f89c4f76621268bb6d)
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- [Gemma3 Text](https://huggingface.co/collections/google/gemma-3-release-67c6c6f89c4f76621268bb6d)
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- [Cohere](https://huggingface.co/CohereForAI/c4ai-command-r-plus)
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- [Dbrx](https://huggingface.co/databricks/dbrx-instruct)
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- [Mamba](https://huggingface.co/state-spaces/mamba-2.8b-slimpj)
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- [Mistral](https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407)
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- [Mixtral](https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1)
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- [Gpt Bigcode](https://huggingface.co/bigcode/gpt_bigcode-santacoder)
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- [Phi](https://huggingface.co/microsoft/phi-1_5)
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- [PhiMoe](https://huggingface.co/microsoft/Phi-3.5-MoE-instruct)
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- [Baichuan](https://huggingface.co/baichuan-inc/Baichuan2-7B-Chat)
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- [Falcon](https://huggingface.co/tiiuae/falcon-7b-instruct)
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- [StarCoder 2](https://huggingface.co/bigcode/starcoder2-15b-instruct-v0.1)
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- [Qwen 2](https://huggingface.co/collections/Qwen/qwen2-6659360b33528ced941e557f)
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- [Qwen 2 VL](https://huggingface.co/collections/Qwen/qwen2-vl-66cee7455501d7126940800d)
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- [Qwen 2.5 VL](https://huggingface.co/collections/Qwen/qwen25-66e81a666513e518adb90d9e)
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- [Opt](https://huggingface.co/facebook/opt-6.7b)
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- [T5](https://huggingface.co/google/flan-t5-xxl)
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- [Galactica](https://huggingface.co/facebook/galactica-120b)
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- [SantaCoder](https://huggingface.co/bigcode/santacoder)
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- [Bloom](https://huggingface.co/bigscience/bloom-560m)
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- [Mpt](https://huggingface.co/mosaicml/mpt-7b-instruct)
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- [Gpt2](https://huggingface.co/openai-community/gpt2)
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- [Gpt Neox](https://huggingface.co/EleutherAI/gpt-neox-20b)
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- [Gptj](https://huggingface.co/EleutherAI/gpt-j-6b)
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- [Idefics](https://huggingface.co/HuggingFaceM4/idefics-9b) (Multimodal)
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- [Mllama](https://huggingface.co/meta-llama/Llama-3.2-11B-Vision-Instruct) (Multimodal)
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If the above list lacks the model you would like to serve, depending on the model's pipeline type, you can try to initialize and serve the model anyways to see how well it performs, but performance isn't guaranteed for non-optimized models:
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```python
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# for causal LMs/text-generation models
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AutoModelForCausalLM.from_pretrained(<model>, device_map="auto")
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# or, for text-to-text generation models
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AutoModelForSeq2SeqLM.from_pretrained(<model>, device_map="auto")
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```
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If you wish to serve a supported model that already exists on a local folder, just point to the local folder.
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```bash
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text-generation-launcher --model-id <PATH-TO-LOCAL-BLOOM>
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```
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