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rapid-mlx


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Author: Rapid-MLX contributors
License: Apache-2.0
Summary: Rapid-MLX is an open-source (Apache 2.0) OpenAI- and Anthropic-compatible LLM inference server for Apple Silicon, built on MLX, focused on reliable tool calling for coding agents; up to 4× faster decoding than Apple's MLX (mlx-lm) on the same weights.
Latest version: 0.16.2
Required dependencies: argcomplete | certifi | fastapi | huggingface-hub | imageio | jsonschema | llguidance | mcp | mflux | mlx | mlx-arsenal | mlx-lm | mlx-video-with-audio | mlx-vlm | numpy | openai-harmony | opencv-python | pillow | psutil | pypdf | pyyaml | referencing | requests | rich | sentencepiece | tabulate | tokenizers | tomli | tomli-w | torch | torchvision | tqdm | transformers | uvicorn | websockets
Optional dependencies: accelerate | aiohttp | argcomplete | boto3 | cn2an | diff-cover | espeakng-loader | f5-tts-mlx | fastapi | gradio | httpx | huggingface-hub | hypothesis | imageio | jinja2 | jsonschema | laya-mlx | llguidance | loguru | mcp | mflux | misaki | mlx-arsenal | mlx-audio | mlx-embeddings | mlx-video-with-audio | mlx-vlm | mypy | num2words | numba | numpy | openai-harmony | opencv-python | packaging | phonemizer-fork | pillow | prometheus-client | psutil | pydantic | pyobjc-framework-applicationservices | pyobjc-framework-quartz | pypdf | pytest | pytest-asyncio | pytest-cov | python-multipart | pytz | pyyaml | referencing | requests | rich | ruff | scipy | sentencepiece | sounddevice | soundfile | spacy | tabulate | tiktoken | tokenizers | tomli | tomli-w | torch | torchvision | tqdm | transformers | uvicorn | websockets

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