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@ -5,6 +5,8 @@ Inference of [Facebook's LLaMA](https://github.com/facebookresearch/llama) model
**TEMPORARY NOTICE:** **TEMPORARY NOTICE:**
If you observe garbage results, make sure to update to latest master. There was a bug and it was fixed here: https://github.com/ggerganov/llama.cpp/commit/70bc0b8b15b98dca23b28f0c8f5e34b27e424cda If you observe garbage results, make sure to update to latest master. There was a bug and it was fixed here: https://github.com/ggerganov/llama.cpp/commit/70bc0b8b15b98dca23b28f0c8f5e34b27e424cda
Also, currently the quantized models run **only** on Apple Silicon. On other architectures, you can [use the F16 models](https://github.com/ggerganov/llama.cpp/issues/2#issuecomment-1464615286), but they will be much slower. Support will be [added later](https://github.com/ggerganov/ggml/pull/27)
## Description ## Description
The main goal is to run the model using 4-bit quantization on a MacBook. The main goal is to run the model using 4-bit quantization on a MacBook.