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Jan.ai
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LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.

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Based on our record, llama.cpp seems to be more popular. It has been mentioned 24 times since March 2021.
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Three things, on purpose. Mixture-of-experts routing: only the active experts get touched at inference, but this tool prices the whole weight set, so MoE totals read high. Mixed quantization: Q4_K_M is itself an average across tensors,... - Source: dev.to / about 5 hours ago
Llama.cpp is the engine underneath much of the local-LLM world. It's a plain C/C++ implementation with no dependencies. Per its README, it targets "a wide range of hardware." It runs GGUF files and supports 1.5-bit to 8-bit quantization.... - Source: dev.to / 1 day ago
Runtimes like llama.cpp, Ollama and vLLM don't refuse a model that is too big. They split it: some layers in VRAM, the rest in system RAM across the PCIe bus. The GPU finishes its layers in microseconds, then stalls. - Source: dev.to / 5 days ago
Tracking Forthgreen since Mar 2021.
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