mabaochang
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Update README.md
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README.md
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@@ -8,7 +8,11 @@ language:
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- en
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Considering LLaMA's license constraints, the model is for research and learning only.
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# GPTQ-for-LLaMa
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| llama7b-2m-8bit-128g.pt | 6.8G | ~8.9G |
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| llama7b-2m-4bit-128g.pt | 3.8G | ~5.6G |
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## Check
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```
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md5sum ./*
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340aa9ee27fa7931ccbabcc30f2f8a27 ./config.json.db303d8f096e427bd21ff97bb169c84fb3ae11336a644e3da3506419d44f6429.enc
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39ec1b33fbf9a0934a8ae0f9a24c7163 ./tokenizer.model.9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347.enc
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```
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After you decrypt the files
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```
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md5sum ./*
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32490e7229fb82c643e3a7b8d04a6c4b ./config.json
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Considering LLaMA's license constraints, the model is for research and learning only.
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Please strictly respect LLaMA's usage policy.
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We are not allowed to publish weights for LLaMA, of course, even finetuned, but there is no problem publishing the difference, a patch that we suggest to apply to the files.
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The encryption is a simple XOR between files, ensuring that only the people that have access to the original weights (from completely legal sources, of course) can transform them into finetuned weights.
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You can find the decrypt code on https://github.com/LianjiaTech/BELLE/tree/main/models .
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# GPTQ-for-LLaMa
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| llama7b-2m-8bit-128g.pt | 6.8G | ~8.9G |
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| llama7b-2m-4bit-128g.pt | 3.8G | ~5.6G |
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## Check md5
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After you git clone this model
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```
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md5sum ./*
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340aa9ee27fa7931ccbabcc30f2f8a27 ./config.json.db303d8f096e427bd21ff97bb169c84fb3ae11336a644e3da3506419d44f6429.enc
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39ec1b33fbf9a0934a8ae0f9a24c7163 ./tokenizer.model.9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347.enc
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```
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After you decrypt the files using https://github.com/LianjiaTech/BELLE/tree/main/models
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```
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md5sum ./*
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32490e7229fb82c643e3a7b8d04a6c4b ./config.json
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