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This repository has been archived by the owner on Jun 24, 2024. It is now read-only.
The GGML quantization strategy works, but results in a measurable loss in quality. To address this, upstream is investigating the use of the GPTQ algorithm, which quantizes in such a way to reduce the loss: ggerganov/llama.cpp#9
It's possible that this already works if you test it with a GPTQ model and load it in as q4_1, from ggerganov/llama.cpp#9 (comment).
The text was updated successfully, but these errors were encountered:
The GGML quantization strategy works, but results in a measurable loss in quality. To address this, upstream is investigating the use of the GPTQ algorithm, which quantizes in such a way to reduce the loss: ggerganov/llama.cpp#9
It's possible that this already works if you test it with a GPTQ model and load it in as q4_1, from ggerganov/llama.cpp#9 (comment).
The text was updated successfully, but these errors were encountered: