LocalAI/docs/content/reference/compatibility-table.md

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Besides llama based models, LocalAI is compatible also with other architectures. The table below lists all the backends, compatible models families and the associated repository.

{{% notice note %}}

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.

 {{% /notice %}}

## Text Generation & Language Models

| Backend and Bindings                                                             | Compatible models     | Completion/Chat endpoint | Capability | Embeddings support                | Token stream support | Acceleration |
|----------------------------------------------------------------------------------|-----------------------|--------------------------|---------------------------|-----------------------------------|----------------------|--------------|
| [llama.cpp]({{%relref "features/text-generation#llama.cpp" %}})        | LLama, Mamba, RWKV, Falcon, Starcoder, GPT-2, [and many others](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#description) | yes                      | GPT and Functions                        | yes | yes                  | CUDA 12/13, ROCm, Intel SYCL, Vulkan, Metal, CPU |
| [vLLM](https://github.com/vllm-project/vllm)        | Various GPTs and quantization formats | yes                      | GPT             | no | no                  | CUDA 12/13, ROCm, Intel |
| [transformers](https://github.com/huggingface/transformers) | Various GPTs and quantization formats  | yes                      | GPT, embeddings, Audio generation            | yes | yes*                  | CUDA 12/13, ROCm, Intel, CPU |
| [MLX](https://github.com/ml-explore/mlx-lm)        | Various LLMs               | yes                       | GPT                        | no                                | no                   | Metal (Apple Silicon) |
| [MLX-VLM](https://github.com/Blaizzy/mlx-vlm)        | Vision-Language Models               | yes                       | Multimodal GPT                        | no                                | no                   | Metal (Apple Silicon) |
| [vllm-omni](https://github.com/vllm-project/vllm) | vLLM Omni multimodal | yes | Multimodal GPT | no | no | CUDA 12/13, ROCm, Intel |
| [langchain-huggingface](https://github.com/tmc/langchaingo)                                                                    | Any text generators available on HuggingFace through API | yes                      | GPT                        | no                                | no                   | N/A |

## Audio & Speech Processing

| Backend and Bindings                                                             | Compatible models     | Completion/Chat endpoint | Capability | Embeddings support                | Token stream support | Acceleration |
|----------------------------------------------------------------------------------|-----------------------|--------------------------|---------------------------|-----------------------------------|----------------------|--------------|
| [whisper.cpp](https://github.com/ggml-org/whisper.cpp)         | whisper               | no                       | Audio transcription                 | no                                | no                   | CUDA 12/13, ROCm, Intel SYCL, Vulkan, CPU |
| [faster-whisper](https://github.com/SYSTRAN/faster-whisper)         | whisper               | no                       | Audio transcription                 | no                                | no                   | CUDA 12/13, ROCm, Intel, CPU |
| [piper](https://github.com/rhasspy/piper) ([binding](https://github.com/mudler/go-piper))                                                                     | Any piper onnx model | no                      | Text to voice                        | no                                | no                   | CPU |
| [coqui](https://github.com/idiap/coqui-ai-TTS) | Coqui TTS    | no                       | Audio generation and Voice cloning    | no                               | no                   | CUDA 12/13, ROCm, Intel, CPU |
| [kokoro](https://github.com/hexgrad/kokoro) | Kokoro TTS    | no                       | Text-to-speech    | no                               | no                   | CUDA 12/13, ROCm, Intel, CPU |
| [chatterbox](https://github.com/resemble-ai/chatterbox) | Chatterbox TTS    | no                       | Text-to-speech    | no                               | no                   | CUDA 12/13, CPU |
| [kitten-tts](https://github.com/KittenML/KittenTTS) | Kitten TTS    | no                       | Text-to-speech    | no                               | no                   | CPU |
| [silero-vad](https://github.com/snakers4/silero-vad) with [Golang bindings](https://github.com/streamer45/silero-vad-go) | Silero VAD    | no                       | Voice Activity Detection    | no                               | no                   | CPU |
| [neutts](https://github.com/neuphonic/neuttsair) | NeuTTSAir    | no                       | Text-to-speech with voice cloning    | no                               | no                   | CUDA 12/13, ROCm, CPU |
| [vibevoice](https://github.com/microsoft/VibeVoice) | VibeVoice-Realtime    | no                       | Real-time text-to-speech with voice cloning    | no                               | no                   | CUDA 12/13, ROCm, Intel, CPU |
| [pocket-tts](https://github.com/kyutai-labs/pocket-tts) | Pocket TTS    | no                       | Lightweight CPU-based text-to-speech with voice cloning    | no                               | no                   | CUDA 12/13, ROCm, Intel, CPU |
| [mlx-audio](https://github.com/Blaizzy/mlx-audio) | MLX | no                       | Text-tospeech    | no                               | no                   | Metal (Apple Silicon) |
| [nemo](https://github.com/NVIDIA/NeMo) | NeMo speech models | no | Speech models | no | no | CUDA 12/13, ROCm, Intel, CPU |
| [outetts](https://github.com/edwengc/outetts) | OuteTTS | no | Text-to-speech with voice cloning | no | no | CUDA 12/13, CPU |
| [faster-qwen3-tts](https://github.com/andimarafioti/faster-qwen3-tts) | Faster Qwen3 TTS | no | Fast text-to-speech | no | no | CUDA 12/13, ROCm, Intel, CPU |
| [qwen-asr](https://github.com/QwenLM/Qwen-ASR) | Qwen ASR | no | Automatic speech recognition | no | no | CUDA 12/13, ROCm, Intel, CPU |
| [voxcpm](https://github.com/voxcpm/voxcpm) | VoxCPM | no | Speech understanding | no | no | CUDA 12/13, Metal, CPU |
| [whisperx](https://github.com/m-bain/whisperX) | WhisperX | no | Enhanced transcription | no | no | CUDA 12/13, ROCm, Intel, CPU |

## Image & Video Generation

| Backend and Bindings                                                             | Compatible models     | Completion/Chat endpoint | Capability | Embeddings support                | Token stream support | Acceleration |
|----------------------------------------------------------------------------------|-----------------------|--------------------------|---------------------------|-----------------------------------|----------------------|--------------|
| [stablediffusion.cpp](https://github.com/leejet/stable-diffusion.cpp)         | stablediffusion-1, stablediffusion-2, stablediffusion-3, flux, PhotoMaker               | no                       | Image                 | no                                | no                   | CUDA 12/13, Intel SYCL, Vulkan, CPU |
| [diffusers](https://github.com/huggingface/diffusers)  | SD, various diffusion models,...                   | no                       | Image/Video generation    | no                               | no                   | CUDA 12/13, ROCm, Intel, Metal, CPU |
| [transformers-musicgen](https://github.com/huggingface/transformers)  | MusicGen                    | no                       | Audio generation                | no                               | no                   | CUDA, CPU |

## Specialized AI Tasks

| Backend and Bindings                                                             | Compatible models     | Completion/Chat endpoint | Capability | Embeddings support                | Token stream support | Acceleration |
|----------------------------------------------------------------------------------|-----------------------|--------------------------|---------------------------|-----------------------------------|----------------------|--------------|
| [rfdetr](https://github.com/roboflow/rf-detr) | RF-DETR    | no                       | Object Detection    | no                               | no                   | CUDA 12/13, Intel, CPU |
| [rerankers](https://github.com/AnswerDotAI/rerankers) | Reranking API    | no                       | Reranking   | no                               | no                   | CUDA 12/13, ROCm, Intel, CPU |
| [local-store](https://github.com/mudler/LocalAI) | Vector database    | no                       | Vector storage   | yes                               | no                   | CPU |
| [huggingface](https://huggingface.co/docs/hub/en/api) | HuggingFace API models    | yes                       | Various AI tasks   | yes                               | yes                   | API-based |

## Acceleration Support Summary

### GPU Acceleration
- **NVIDIA CUDA**: CUDA 12.0, CUDA 13.0 support across most backends
- **AMD ROCm**: HIP-based acceleration for AMD GPUs
- **Intel oneAPI**: SYCL-based acceleration for Intel GPUs (F16/F32 precision)
- **Vulkan**: Cross-platform GPU acceleration
- **Metal**: Apple Silicon GPU acceleration (M1/M2/M3+)

### Specialized Hardware
- **NVIDIA Jetson (L4T CUDA 12)**: ARM64 support for embedded AI (AGX Orin, Jetson Nano, Jetson Xavier NX, Jetson AGX Xavier)
- **NVIDIA Jetson (L4T CUDA 13)**: ARM64 support for embedded AI (DGX Spark)
- **Apple Silicon**: Native Metal acceleration for Mac M1/M2/M3+
- **Darwin x86**: Intel Mac support

### CPU Optimization
- **AVX/AVX2/AVX512**: Advanced vector extensions for x86
- **Quantization**: 4-bit, 5-bit, 8-bit integer quantization support
- **Mixed Precision**: F16/F32 mixed precision support

Note: any backend name listed above can be used in the `backend` field of the model configuration file (See [the advanced section]({{%relref "advanced" %}})).

- \* Only for CUDA and OpenVINO CPU/XPU acceleration.