llama.cpp tools

GGUF convert and quantize

llama.cpp CLI tools, converters and quantizers for making your own GGUF files.

PublishedociLLM inference

Needs 7.5 GiB of GPU memory · CUDA on NVIDIA

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1× Apple M5 Max (40-core GPU) · New hostno inference runtime for this machine's backend1× Apple M4 Pro (20-core GPU) · New hostno inference runtime for this machine's backend1× Apple M4 · New hostno inference runtime for this machine's backend1× Apple M1 Pro (14-core GPU) · New hostno inference runtime for this machine's backend

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Rating: No ratings yet
Runs: 0
Min VRAM: 8.1 GB
Backend: Set by the machine you pick
Version: llamacpp-tools-v1.0.0
Image digest: e05b2a1d39f6…
Health check: SSH probe on the leased endpoint

We match GPUs on their measured runtime and dedicated VRAM. A hardware report doesn't qualify another vendor's backend.

#llm #gguf #quantization #workspace

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