---
frameworks:
- other
license: Apache License 2.0
model-type:
- llama
language:
- zh
- en
tools:
- llamacpp

#model-type:
##如 gpt、phi、llama、chatglm、baichuan 等
#- gpt

#domain:
##如 nlp、cv、audio、multi-modal
#- nlp

#language:
##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
#- cn 

#metrics:
##如 CIDEr、Blue、ROUGE 等
#- CIDEr

#tags:
##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
#- pretrained

#tools:
##如 vllm、fastchat、llamacpp、AdaSeq 等
#- vllm
---

---
license: apache-2.0
language:
- zh
- en
---

# Llama-3-Chinese-8B-Instruct-v3-GGUF

<p align="center">
    <a href="https://github.com/ymcui/Chinese-LLaMA-Alpaca-3"><img src="https://ymcui.com/images/chinese-llama-alpaca-3-banner.png" width="600"/></a>
</p>

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