i don't think such a guide exists. this space is moving pretty fast. a short rundown
quantized model formats:
- GGML: used with llama.cpp, outdated, support is dropped or will be soon. cpu+gpu inference
- GGUF: "new version" of the GGML file format, used with llama.cpp. cpu+gpu inference. offers 2-8bit quantization
- GPTQ: pure gpu inference, used with AutoGPTQ, exllama, exllamav2, offers only 4 bit quantization
- EXL2: pure gpu inference, used with exllamav2, offers 2-8bit quantization
here[1] is a nice overview of VRAM usage vs perplexity of different quant levels (with the example of a 70b model in exl2 format)
[1] https://old.reddit.com/r/LocalLLaMA/comments/178tzps/updated...