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authorLyle Dean <dean@lyle.dev>2024-05-05 06:21:46 +0100
committerGitHub <noreply@github.com>2024-05-05 08:21:46 +0300
commitca3632602091e959ed2ad4c09c67a7c790b10d31 (patch)
tree90e187c10070dda11034308179421b8efe76b21e
parent889bdd76866ea31a7625ec2dcea63ff469f3e981 (diff)
readme : add note that LLaMA 3 is not supported with convert.py (#7065)
-rw-r--r--README.md2
1 files changed, 2 insertions, 0 deletions
diff --git a/README.md b/README.md
index 2f131766..6951966f 100644
--- a/README.md
+++ b/README.md
@@ -712,6 +712,8 @@ Building the program with BLAS support may lead to some performance improvements
To obtain the official LLaMA 2 weights please see the <a href="#obtaining-and-using-the-facebook-llama-2-model">Obtaining and using the Facebook LLaMA 2 model</a> section. There is also a large selection of pre-quantized `gguf` models available on Hugging Face.
+Note: `convert.py` does not support LLaMA 3, you can use `convert-hf-to-gguf.py` with LLaMA 3 downloaded from Hugging Face.
+
```bash
# obtain the official LLaMA model weights and place them in ./models
ls ./models