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llama.cpp: update PPL w.r.t. new k-quant optimization #172

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Aug 23, 2023
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llama.cpp: update PPL w.r.t. new k-quant optimization #172

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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -21,7 +21,7 @@
- 🚀 开源了预训练脚本、指令精调脚本，用户可根据需要进一步训练模型
- 🚀 使用个人电脑的CPU/GPU快速在本地进行大模型量化和部署体验
- 🚀 支持[🤗transformers](https://github.com/huggingface/transformers), [llama.cpp](https://github.com/ggerganov/llama.cpp), [text-generation-webui](https://github.com/oobabooga/text-generation-webui), [LangChain](https://github.com/hwchase17/langchain), [privateGPT](https://github.com/imartinez/privateGPT), [vLLM](https://github.com/vllm-project/vllm)等LLaMA生态
- 目前已开源的模型：Chinese-LLaMA-2（7B/13B）, Chinese-Alpaca-2（7B/13B）(更大的模型可先参考[一期项目](https://github.com/ymcui/Chinese-LLaMA-Alpaca))
- 已开源的模型：Chinese-LLaMA-2（7B/13B）, Chinese-Alpaca-2（7B/13B）(更大模型可参考[一期项目](https://github.com/ymcui/Chinese-LLaMA-Alpaca))

![](./pics/screencast.gif)

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| llama.cpp | F16 | Q2_K | Q3_K | Q4_0 | Q4_1 | Q4_K | Q5_0 | Q5_1 | Q5_K | Q6_K | Q8_0 |
| --------- | -----: | -----: | ----: | ----: | ----: | ----: | ----: | ----: | ----: | ----: | ----: |
| PPL | 9.128 | 13.640 | 9.910 | 9.476 | 9.576 | 9.257 | 9.156 | 9.213 | 9.141 | 9.143 | 9.129 |
| Size | 12.91G | 2.77G | 3.17G | 3.69G | 4.08G | 3.92G | 4.47G | 4.86G | 4.59G | 5.30G | 6.81G |
| PPL | 9.128 | 11.107 | 9.576 | 9.476 | 9.576 | 9.240 | 9.156 | 9.213 | 9.168 | 9.133 | 9.129 |
| Size | 12.91G | 2.41G | 3.18G | 3.69G | 4.08G | 3.92G | 4.47G | 4.86G | 4.59G | 5.30G | 6.81G |
| CPU Speed | 117 | 42 | 51 | 39 | 44 | 43 | 48 | 51 | 50 | 54 | 65 |
| GPU Speed | 53 | 19 | 21 | 17 | 18 | 20 | x | x | 25 | 26 | x |

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4 changes: 2 additions & 2 deletions README_EN.md
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Expand Up @@ -205,8 +205,8 @@ Specifically, the followings are the benchmark for different quantization method

| llama.cpp | F16 | Q2_K | Q3_K | Q4_0 | Q4_1 | Q4_K | Q5_0 | Q5_1 | Q5_K | Q6_K | Q8_0 |
| --------- | -----: | -----: | ----: | ----: | ----: | ----: | ----: | ----: | ----: | ----: | ----: |
| PPL | 9.128 | 13.640 | 9.910 | 9.476 | 9.576 | 9.257 | 9.156 | 9.213 | 9.141 | 9.143 | 9.129 |
| Size | 12.91G | 2.77G | 3.17G | 3.69G | 4.08G | 3.92G | 4.47G | 4.86G | 4.59G | 5.30G | 6.81G |
| PPL | 9.128 | 11.107 | 9.576 | 9.476 | 9.576 | 9.240 | 9.156 | 9.213 | 9.168 | 9.133 | 9.129 |
| Size | 12.91G | 2.41G | 3.18G | 3.69G | 4.08G | 3.92G | 4.47G | 4.86G | 4.59G | 5.30G | 6.81G |
| CPU Speed | 117 | 42 | 51 | 39 | 44 | 43 | 48 | 51 | 50 | 54 | 65 |
| GPU Speed | 53 | 19 | 21 | 17 | 18 | 20 | x | x | 25 | 26 | x |

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