diff --git a/README.md b/README.md index 22e103d..140484e 100644 --- a/README.md +++ b/README.md @@ -2,8 +2,13 @@ frameworks: - other license: Apache License 2.0 -tasks: -- text-generation +model-type: +- llama +language: +- zh +- en +tools: +- llamacpp #model-type: ##如 gpt、phi、llama、chatglm、baichuan 等 @@ -29,23 +34,76 @@ tasks: ##如 vllm、fastchat、llamacpp、AdaSeq 等 #- vllm --- -### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重,可浏览“模型文件”页面获取。 -#### 您可以通过如下git clone命令,或者ModelScope SDK来下载模型 -SDK下载 -```bash -#安装ModelScope -pip install modelscope -``` -```python -#SDK模型下载 -from modelscope import snapshot_download -model_dir = snapshot_download('ChineseAlpacaGroup/llama-3-chinese-8b-instruct-v3-gguf') -``` -Git下载 -``` -#Git模型下载 -git clone https://www.modelscope.cn/ChineseAlpacaGroup/llama-3-chinese-8b-instruct-v3-gguf.git -``` +--- +license: apache-2.0 +language: +- zh +- en +--- -
如果您是本模型的贡献者,我们邀请您根据模型贡献文档,及时完善模型卡片内容。
\ No newline at end of file +# Llama-3-Chinese-8B-Instruct-v3-GGUF + + + +这个仓库包含了**Llama-3-Chinese-8B-Instruct-v3-GGUF**(兼容llama.cpp/ollama等),是[Llama-3-Chinese-8B-Instruct-v3](https://modelscope.cn/models/ChineseAlpacaGroup/llama-3-chinese-8b-instruct-v3)模型的量化版本。 + +**注意:这是一个指令模型,可以直接适用于对话、问答等任务。** + +更多细节(性能、使用方法等)请参考GitHub项目页面:https://github.com/ymcui/Chinese-LLaMA-Alpaca-3 + +## 量化性能 + +评测指标:PPL,**越低越好** + +| Quant | Size | PPL | +| :---: | -------: | ------------------: | +| Q2_K | 2.96 GB | 10.0534 +/- 0.13135 | +| Q3_K | 3.74 GB | 6.3295 +/- 0.07816 | +| Q4_0 | 4.34 GB | 6.3200 +/- 0.07893 | +| Q4_K | 4.58 GB | 6.0042 +/- 0.07431 | +| Q5_0 | 5.21 GB | 6.0437 +/- 0.07526 | +| Q5_K | 5.34 GB | 5.9484 +/- 0.07399 | +| Q6_K | 6.14 GB | 5.9469 +/- 0.07404 | +| Q8_0 | 7.95 GB | 5.8933 +/- 0.07305 | +| F16 | 14.97 GB | 5.8902 +/- 0.07303 | + + +## 其他 + +- 完整模型:https://modelscope.cn/models/ChineseAlpacaGroup/llama-3-chinese-8b-instruct-v3 + +- 关于本模型的提问,请通过 https://github.com/ymcui/Chinese-LLaMA-Alpaca-3 提交issue + + +---- + +This repository contains **Llama-3-Chinese-8B-Instruct-v3-GGUF** (llama.cpp/ollama/tgw, etc. compatible), which is the quantized version of [Llama-3-Chinese-8B-Instruct-v3](https://huggingface.co/hfl/llama-3-chinese-8b-instruct-v3). + +**Note: this is an instruction (chat) model, which can be used for conversation, QA, etc.** + +Further details (performance, usage, etc.) should refer to GitHub project page: https://github.com/ymcui/Chinese-LLaMA-Alpaca-3 + +## Performance + +Metric: PPL, lower is better + +| Quant | Size | PPL | +| :---: | -------: | ------------------: | +| Q2_K | 2.96 GB | 10.0534 +/- 0.13135 | +| Q3_K | 3.74 GB | 6.3295 +/- 0.07816 | +| Q4_0 | 4.34 GB | 6.3200 +/- 0.07893 | +| Q4_K | 4.58 GB | 6.0042 +/- 0.07431 | +| Q5_0 | 5.21 GB | 6.0437 +/- 0.07526 | +| Q5_K | 5.34 GB | 5.9484 +/- 0.07399 | +| Q6_K | 6.14 GB | 5.9469 +/- 0.07404 | +| Q8_0 | 7.95 GB | 5.8933 +/- 0.07305 | +| F16 | 14.97 GB | 5.8902 +/- 0.07303 | + +## Others + +- For full model, please see: https://huggingface.co/hfl/llama-3-chinese-8b-instruct-v3 + +- If you have questions/issues regarding this model, please submit an issue through https://github.com/ymcui/Chinese-LLaMA-Alpaca-3 \ No newline at end of file