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GGUF Quantization

Name: GGUF Quantization
Author: opencoven

from opencoven

Quantize LLMs to GGUF format for efficient CPU/GPU inference via llama.cpp.

triggers:quantize model to ggufconvert hf to ggufllama.cpp quantizationrun llm on cpuapple silicon llm optimization

A comprehensive guide and toolset for the GGUF (GPT-Generated Unified Format). This skill enables users to convert HuggingFace models to GGUF and apply various quantization levels (Q2_K to Q8_0) to optimize models for consumer hardware, including Apple Silicon (Metal) and NVIDIA GPUs.

Key Capabilities:

Conversion: Convert HF models to FP16 GGUF.
Quantization: Implement K-quants and use importance matrices (imatrix) for higher quality at low bit-rates.
Deployment: Integration guides for Ollama, LM Studio, and llama-cpp-python.
Optimization: Hardware-specific build and runtime configurations for maximum performance.

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Repository: opencoven

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GGUF Quantization

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GGUF Quantization

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