llama.cpp is the foundational C/C++ library with 75K+ GitHub stars powering local LLM inference on consumer hardware. Provides optimized CPU and GPU inference for quantized models in GGUF format. Supports LLaMA, Mistral, Phi, Gemma, and most open-weight families. Features 2-8 bit quantization for reduced memory, multi-GPU support, context extension, grammar-constrained output, and an OpenAI-compatible API server. The engine behind Ollama and LM Studio.
Alternatives to gemma.cpp
2 editor-selected alternatives · gemma.cpp overview →
source: tools.alternatives · stored order · active records only; review scores are annotations and never change membership or order
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Tool for running large language models locally on your machine with a simple CLI interface. Download and run Llama 3, Mistral, Gemma, Phi, Code Llama, and dozens of other open-source models with a single command. Features model management, GPU acceleration (NVIDIA/AMD/Apple Silicon), OpenAI-compatible API server, Modelfile for customization, and multi-model switching. Ideal for offline AI development, privacy-sensitive use cases, and local testing. 120K+ GitHub stars.
Open-source gemma.cpp alternatives
llama.cpp, Ollama — see all open-source developer tools.
More AI Data Tools tools
same category, not editor-selected alternatives — see how gemma.cpp compares →
FAQ
Which gemma.cpp alternative is listed first?
llama.cpp is first in the editor-selected list of 2 gemma.cpp alternatives. The stored order is editorial; review scores do not determine membership or position.
Are there open-source gemma.cpp alternatives?
Yes — llama.cpp, Ollama are open source.