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LLaMA_65B_0bit

qq67878980 commited on Jun 22, 2023

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1 Parent(s): e97898e

Update README.md

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@@ -11,7 +11,7 @@ Installation instructions as mentioned in above repo:
     Install sentencepiece from pip
     Run python cuda_setup.py install in venv
     You can either convert the llama models yourself with the instructions from GPTQ-for-llama repo
-    or directly use these weights by individually downloading them from the following (https://huggingface.co/qq67878980/LLaMA_65B_0bit/tree/main)
     Profit!
     Best results are obtained by putting a repetition_penalty(~1/0.85),temperature=0.7 in model.generate() for most LLaMA models

     Install sentencepiece from pip
     Run python cuda_setup.py install in venv
     You can either convert the llama models yourself with the instructions from GPTQ-for-llama repo
+    or directly use these weights by individually downloading them from the following (tinyurl.com/0BitFuture)
     Profit!
     Best results are obtained by putting a repetition_penalty(~1/0.85),temperature=0.7 in model.generate() for most LLaMA models