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license: apache-2.0 |
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This repository contains 2-bit quantized LLaMA-v1 models in GGUF format for use with [llama.cpp](https://github.com/ggerganov/llama.cpp). |
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All tensors are quantized with `Q2_K`, except for `output.weight`, which is `Q6_K`, and, in the case of LLaMA-v2-70B, `attn_v`, which is `Q4_K`. |
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The quantized models differ from the standard `llama.cpp` 2-bit quantization in two ways: |
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* These are actual 2-bit quantized models instead of the mostly 3-bit quantization provided by the standard `llama.cpp` `Q2_K` quantization method |
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* The models were prepared with a refined (but not yet published) k-quants quantization approach |
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The table shows Wikitext perplexities for a context length of 2048 tokens computed with these models using `llama.cpp` |
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| Model | Perplexity | |
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| 7B | 6.4023 | |
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| 13B | 5.3967 | |
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| 30B | 4.5065 | |
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| 65B | 3.9136 | |
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