mirror of
https://github.com/mudler/LocalAI.git
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81 lines
9.5 KiB
Markdown
81 lines
9.5 KiB
Markdown
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disableToc = false
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title = "Model compatibility"
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weight = 4
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LocalAI is compatible with the models supported by [llama.cpp](https://github.com/ggerganov/llama.cpp) supports also [GPT4ALL-J](https://github.com/nomic-ai/gpt4all) and [cerebras-GPT with ggml](https://huggingface.co/lxe/Cerebras-GPT-2.7B-Alpaca-SP-ggml).
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{{% notice note %}}
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LocalAI will attempt to automatically load models which are not explicitly configured for a specific backend. You can specify the backend to use by configuring a model with a YAML file. See [the advanced section]({{%relref "advanced" %}}) for more details.
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{{% /notice %}}
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### Hardware requirements
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Depending on the model you are attempting to run might need more RAM or CPU resources. Check out also [here](https://github.com/ggerganov/llama.cpp#memorydisk-requirements) for `ggml` based backends. `rwkv` is less expensive on resources.
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### Model compatibility table
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Besides llama based models, LocalAI is compatible also with other architectures. The table below lists all the compatible models families and the associated binding repository.
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| Backend and Bindings | Compatible models | Completion/Chat endpoint | Capability | Embeddings support | Token stream support | Acceleration |
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|----------------------------------------------------------------------------------|-----------------------|--------------------------|---------------------------|-----------------------------------|----------------------|--------------|
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| [llama.cpp]({{%relref "model-compatibility/llama-cpp" %}}) | Vicuna, Alpaca, LLaMa | yes | GPT and Functions | yes** | yes | CUDA, openCL, cuBLAS, Metal |
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| [gpt4all-llama](https://github.com/nomic-ai/gpt4all) | Vicuna, Alpaca, LLaMa | yes | GPT | no | yes | N/A |
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| [gpt4all-mpt](https://github.com/nomic-ai/gpt4all) | MPT | yes | GPT | no | yes | N/A |
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| [gpt4all-j](https://github.com/nomic-ai/gpt4all) | GPT4ALL-J | yes | GPT | no | yes | N/A |
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| [falcon-ggml](https://github.com/ggerganov/ggml) ([binding](https://github.com/go-skynet/go-ggml-transformers.cpp)) | Falcon (*) | yes | GPT | no | no | N/A |
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| [gpt2](https://github.com/ggerganov/ggml) ([binding](https://github.com/go-skynet/go-ggml-transformers.cpp)) | GPT2, Cerebras | yes | GPT | no | no | N/A |
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| [dolly](https://github.com/ggerganov/ggml) ([binding](https://github.com/go-skynet/go-ggml-transformers.cpp)) | Dolly | yes | GPT | no | no | N/A |
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| [gptj](https://github.com/ggerganov/ggml) ([binding](https://github.com/go-skynet/go-ggml-transformers.cpp)) | GPTJ | yes | GPT | no | no | N/A |
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| [mpt](https://github.com/ggerganov/ggml) ([binding](https://github.com/go-skynet/go-ggml-transformers.cpp)) | MPT | yes | GPT | no | no | N/A |
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| [replit](https://github.com/ggerganov/ggml) ([binding](https://github.com/go-skynet/go-ggml-transformers.cpp)) | Replit | yes | GPT | no | no | N/A |
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| [gptneox](https://github.com/ggerganov/ggml) ([binding](https://github.com/go-skynet/go-ggml-transformers.cpp)) | GPT NeoX, RedPajama, StableLM | yes | GPT | no | no | N/A |
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| [starcoder](https://github.com/ggerganov/ggml) ([binding](https://github.com/go-skynet/go-ggml-transformers.cpp)) | Starcoder | yes | GPT | no | no | N/A|
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| [bloomz](https://github.com/NouamaneTazi/bloomz.cpp) ([binding](https://github.com/go-skynet/bloomz.cpp)) | Bloom | yes | GPT | no | no | N/A |
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| [rwkv](https://github.com/saharNooby/rwkv.cpp) ([binding](https://github.com/donomii/go-rwkv.cpp)) | rwkv | yes | GPT | no | yes | N/A |
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| [bert](https://github.com/skeskinen/bert.cpp) ([binding](https://github.com/go-skynet/go-bert.cpp)) | bert | no | Embeddings only | yes | no | N/A |
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| [whisper](https://github.com/ggerganov/whisper.cpp) | whisper | no | Audio | no | no | N/A |
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| [stablediffusion](https://github.com/EdVince/Stable-Diffusion-NCNN) ([binding](https://github.com/mudler/go-stable-diffusion)) | stablediffusion | no | Image | no | no | N/A |
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| [langchain-huggingface](https://github.com/tmc/langchaingo) | Any text generators available on HuggingFace through API | yes | GPT | no | no | N/A |
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| [piper](https://github.com/rhasspy/piper) ([binding](https://github.com/mudler/go-piper)) | Any piper onnx model | no | Text to voice | no | no | N/A |
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| [falcon](https://github.com/cmp-nct/ggllm.cpp/tree/c12b2d65f732a0d8846db2244e070f0f3e73505c) ([binding](https://github.com/mudler/go-ggllm.cpp)) | Falcon *** | yes | GPT | no | yes | CUDA |
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| `huggingface-embeddings` [sentence-transformers](https://github.com/UKPLab/sentence-transformers) | BERT | no | Embeddings only | yes | no | N/A |
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| `bark` | bark | no | Audio generation | no | no | yes |
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| `AutoGPTQ` | GPTQ | yes | GPT | yes | no | N/A |
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| `exllama` | GPTQ | yes | GPT only | no | no | N/A |
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| `diffusers` | SD,... | no | Image generation | no | no | N/A |
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| `vall-e-x` | Vall-E | no | Audio generation and Voice cloning | no | no | CPU/CUDA |
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| `vllm` | Various GPTs and quantization formats | yes | GPT | no | no | CPU/CUDA |
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Note: any backend name listed above can be used in the `backend` field of the model configuration file (See [the advanced section]({{%relref "advanced" %}})).
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- \* 7b ONLY
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- ** doesn't seem to be accurate
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- *** 7b and 40b with the `ggccv` format, for instance: https://huggingface.co/TheBloke/WizardLM-Uncensored-Falcon-40B-GGML
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Tested with:
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- [X] Automatically by CI with OpenLLAMA and GPT4ALL.
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- [X] LLaMA 🦙
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- [X] [Vicuna](https://github.com/ggerganov/llama.cpp/discussions/643#discussioncomment-5533894)
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- [Alpaca](https://github.com/ggerganov/llama.cpp#instruction-mode-with-alpaca)
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- [X] [GPT4ALL](https://gpt4all.io) (see also [using GPT4All](https://github.com/ggerganov/llama.cpp#using-gpt4all))
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- [X] [GPT4ALL-J](https://gpt4all.io/models/ggml-gpt4all-j.bin) (no changes required)
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- [X] [Koala](https://bair.berkeley.edu/blog/2023/04/03/koala/) 🐨
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- [X] Cerebras-GPT
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- [X] [WizardLM](https://github.com/nlpxucan/WizardLM)
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- [X] [RWKV](https://github.com/BlinkDL/RWKV-LM) models with [rwkv.cpp](https://github.com/saharNooby/rwkv.cpp)
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- [X] [bloom.cpp](https://github.com/NouamaneTazi/bloomz.cpp)
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- [X] [Chinese LLaMA / Alpaca](https://github.com/ymcui/Chinese-LLaMA-Alpaca)
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- [X] [Vigogne (French)](https://github.com/bofenghuang/vigogne)
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- [X] [OpenBuddy 🐶 (Multilingual)](https://github.com/OpenBuddy/OpenBuddy)
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- [X] [Pygmalion 7B / Metharme 7B](https://github.com/ggerganov/llama.cpp#using-pygmalion-7b--metharme-7b)
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- [X] [HuggingFace Inference](https://huggingface.co/inference-api) models available through API
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- [X] Falcon
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Note: You might need to convert some models from older models to the new format, for indications, see [the README in llama.cpp](https://github.com/ggerganov/llama.cpp#using-gpt4all) for instance to run `gpt4all`.
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