5 tools
ggml-org (Georgi Gerganov and contributors) · Local LLM inference & serving
C/C++ inference engine for LLMs and vision-language models with GGUF quantized weights, Metal, CUDA, Vulkan and other backends, a CLI and an OpenAI-compatible server
Apple Inc. · Apple Silicon ML & MLX
Apple's open-source array framework for machine learning on Apple Silicon, with NumPy-like Python, C++ and Swift APIs and unified CPU/GPU memory
Apple Inc. · Apple Silicon ML & MLX
Python package and CLI for running, serving, quantizing and fine-tuning large language models on Apple Silicon with MLX
Ray project (Anyscale and contributors) · Distributed & parallel computing
Open-source Python framework for distributing tasks, actors and ML workloads across a cluster, with libraries for data processing, training, tuning, serving and reinforcement learning
vLLM project (originated at UC Berkeley Sky Computing Lab) · Local LLM inference & serving
High-throughput LLM inference and serving engine with PagedAttention, continuous batching, quantization and an OpenAI-compatible server for GPU and accelerator clusters
Page 1 of 1
Share this view: /tools?category=local-inference&iface=library&depth=deep