llama.cpp
Efficient C/C++ implementation for running LLMs on consumer hardware with quantization support
Open SourceOpen source (MIT), free to use APIOpen Source mac windows linux api
Visit llama.cppAbout llama.cpp
llama.cpp is a C/C++ implementation for running LLMs efficiently on consumer hardware. Created by Georgi Gerganov, it supports CPU inference, GPU acceleration (CUDA, Metal, Vulkan), and aggressive quantization (GGUF format). llama.cpp powers many local LLM applications including Ollama and LM Studio, and supports a wide range of model architectures.
Key Features
- CPU and GPU inference
- GGUF quantization format
- Multiple GPU backends
- Model conversion tools
- Server mode with API
- Batch processing
- Multi-modal support
Pros
- Runs on consumer hardware
- Excellent quantization
- Powers the local LLM ecosystem
- Very active development
Cons
- C++ knowledge helps for customization
- Performance varies by hardware
- Configuration complexity
Tags
llm-inferencecppquantizationgguflocal-inferenceopen-source
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