> ## Documentation Index > Fetch the complete documentation index at: https://fastchat.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Model Support ## Supported models * [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) * example: `python3 -m fastchat.serve.cli --model-path meta-llama/Llama-2-7b-chat-hf` * Vicuna, Alpaca, LLaMA, Koala * example: `python3 -m fastchat.serve.cli --model-path lmsys/vicuna-7b-v1.3` * [BAAI/AquilaChat-7B](https://huggingface.co/BAAI/AquilaChat-7B) * [BAAI/bge-large-en](https://huggingface.co/BAAI/bge-large-en#using-huggingface-transformers) * [baichuan-inc/baichuan-7B](https://huggingface.co/baichuan-inc/baichuan-7B) * [BlinkDL/RWKV-4-Raven](https://huggingface.co/BlinkDL/rwkv-4-raven) * example: `python3 -m fastchat.serve.cli --model-path ~/model_weights/RWKV-4-Raven-7B-v11x-Eng99%-Other1%-20230429-ctx8192.pth` * [bofenghuang/vigogne-2-7b-instruct](https://huggingface.co/bofenghuang/vigogne-2-7b-instruct) * [bofenghuang/vigogne-2-7b-chat](https://huggingface.co/bofenghuang/vigogne-2-7b-chat) * [camel-ai/CAMEL-13B-Combined-Data](https://huggingface.co/camel-ai/CAMEL-13B-Combined-Data) * [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) * [databricks/dolly-v2-12b](https://huggingface.co/databricks/dolly-v2-12b) * [FlagAlpha/Llama2-Chinese-13b-Chat](https://huggingface.co/FlagAlpha/Llama2-Chinese-13b-Chat) * [FreedomIntelligence/phoenix-inst-chat-7b](https://huggingface.co/FreedomIntelligence/phoenix-inst-chat-7b) * [FreedomIntelligence/ReaLM-7b-v1](https://huggingface.co/FreedomIntelligence/Realm-7b) * [h2oai/h2ogpt-gm-oasst1-en-2048-open-llama-7b](https://huggingface.co/h2oai/h2ogpt-gm-oasst1-en-2048-open-llama-7b) * [internlm/internlm-chat-7b](https://huggingface.co/internlm/internlm-chat-7b) * [lcw99/polyglot-ko-12.8b-chang-instruct-chat](https://huggingface.co/lcw99/polyglot-ko-12.8b-chang-instruct-chat) * [lmsys/fastchat-t5-3b-v1.0](https://huggingface.co/lmsys/fastchat-t5) * [mosaicml/mpt-7b-chat](https://huggingface.co/mosaicml/mpt-7b-chat) * example: `python3 -m fastchat.serve.cli --model-path mosaicml/mpt-7b-chat` * [Neutralzz/BiLLa-7B-SFT](https://huggingface.co/Neutralzz/BiLLa-7B-SFT) * [nomic-ai/gpt4all-13b-snoozy](https://huggingface.co/nomic-ai/gpt4all-13b-snoozy) * [NousResearch/Nous-Hermes-13b](https://huggingface.co/NousResearch/Nous-Hermes-13b) * [openaccess-ai-collective/manticore-13b-chat-pyg](https://huggingface.co/openaccess-ai-collective/manticore-13b-chat-pyg) * [OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5](https://huggingface.co/OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5) * [VMware/open-llama-7b-v2-open-instruct](https://huggingface.co/VMware/open-llama-7b-v2-open-instruct) * [Phind/Phind-CodeLlama-34B-v2](https://huggingface.co/Phind/Phind-CodeLlama-34B-v2) * [project-baize/baize-v2-7b](https://huggingface.co/project-baize/baize-v2-7b) * [Qwen/Qwen-7B-Chat](https://huggingface.co/Qwen/Qwen-7B-Chat) * [Salesforce/codet5p-6b](https://huggingface.co/Salesforce/codet5p-6b) * [StabilityAI/stablelm-tuned-alpha-7b](https://huggingface.co/stabilityai/stablelm-tuned-alpha-7b) * [THUDM/chatglm-6b](https://huggingface.co/THUDM/chatglm-6b) * [THUDM/chatglm2-6b](https://huggingface.co/THUDM/chatglm2-6b) * [tiiuae/falcon-40b](https://huggingface.co/tiiuae/falcon-40b) * [tiiuae/falcon-180B-chat](https://huggingface.co/tiiuae/falcon-180B-chat) * [timdettmers/guanaco-33b-merged](https://huggingface.co/timdettmers/guanaco-33b-merged) * [togethercomputer/RedPajama-INCITE-7B-Chat](https://huggingface.co/togethercomputer/RedPajama-INCITE-7B-Chat) * [WizardLM/WizardLM-13B-V1.0](https://huggingface.co/WizardLM/WizardLM-13B-V1.0) * [WizardLM/WizardCoder-15B-V1.0](https://huggingface.co/WizardLM/WizardCoder-15B-V1.0) * [HuggingFaceH4/starchat-beta](https://huggingface.co/HuggingFaceH4/starchat-beta) * Any [EleutherAI](https://huggingface.co/EleutherAI) pythia model such as [pythia-6.9b](https://huggingface.co/EleutherAI/pythia-6.9b) * Any [Peft](https://github.com/huggingface/peft) adapter trained on top of a model above. To activate, must have `peft` in the model path. Note: If loading multiple peft models, you can have them share the base model weights by setting the environment variable `PEFT_SHARE_BASE_WEIGHTS=true` in any model worker. ## How to support a new model To support a new model in FastChat, you need to correctly handle its prompt template and model loading. The goal is to make the following command run with the correct prompts. ``` python3 -m fastchat.serve.cli --model [YOUR_MODEL_PATH] ``` You can run this example command to learn the code logic. ``` python3 -m fastchat.serve.cli --model lmsys/vicuna-7b-v1.3 ``` You can add `--debug` to see the actual prompt sent to the model. ### Steps FastChat uses the `Conversation` class to handle prompt templates and `BaseModelAdapter` class to handle model loading. 1. Implement a conversation template for the new model at [fastchat/conversation.py](https://github.com/lm-sys/FastChat/blob/main/fastchat/conversation.py). You can follow existing examples and use `register_conv_template` to add a new one. Please also add a link to the official reference code if possible. 2. Implement a model adapter for the new model at [fastchat/model/model\_adapter.py](https://github.com/lm-sys/FastChat/blob/main/fastchat/model/model_adapter.py). You can follow existing examples and use `register_model_adapter` to add a new one. 3. (Optional) add the model name to the "Supported models" [section](#supported-models) above and add more information in [fastchat/model/model\_registry.py](https://github.com/lm-sys/FastChat/blob/main/fastchat/model/model_registry.py). After these steps, the new model should be compatible with most FastChat features, such as CLI, web UI, model worker, and OpenAI-compatible API server. Please do some testing with these features as well.