---
title: llama-3-chinese-8b-instruct-v2-gguf
canonical_url: "https://www.modelscope.cn/models/ChineseAlpacaGroup/llama-3-chinese-8b-instruct-v2-gguf"
md_url: "https://www.modelscope.cn/models/ChineseAlpacaGroup/llama-3-chinese-8b-instruct-v2-gguf.md"
repository: ChineseAlpacaGroup/llama-3-chinese-8b-instruct-v2-gguf
last_updated: 2024-05-29
license: "Apache License 2.0"
pipeline_tag: fill-mask
tasks:
  - fill-mask
model_type:
  - llama
library_name:
  - gguf
  - other
frameworks:
  - other
language:
  - zh
  - en
downloads: 784
stars: 3
tags:
  - gguf
---

# llama-3-chinese-8b-instruct-v2-gguf

> llama-3-chinese-8b-instruct-v2-gguf - ChineseAlpacaGroup 在 ModelScope 开源的模型。--- license: apache-2.0 language: zh en ---

ChineseAlpacaGroup/llama-3-chinese-8b-instruct-v2-gguf 是 ModelScope 魔搭社区上的fill-mask模型，采用 Apache License 2.0 许可。

- **Repository**: ChineseAlpacaGroup/llama-3-chinese-8b-instruct-v2-gguf
- **License**: Apache License 2.0
- **Tasks**: fill-mask
- **Tags**: gguf
- **Downloads**: 784
- **Stars**: 3
- **Last updated**: 2024-05-29

Source: https://www.modelscope.cn/models/ChineseAlpacaGroup/llama-3-chinese-8b-instruct-v2-gguf

---

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

## **📣📣📣 v3版指令模型已发布，欢迎使用 👉 [[HF版]](https://modelscope.cn/models/ChineseAlpacaGroup/llama-3-chinese-8b-instruct-v3) [[GGUF版]](https://modelscope.cn/models/ChineseAlpacaGroup/llama-3-chinese-8b-instruct-v3-gguf)**

# Llama-3-Chinese-8B-Instruct-v2-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-v2-GGUF**（兼容llama.cpp/ollama等），是[Llama-3-Chinese-8B-Instruct-v2](https://modelscope.cn/models/ChineseAlpacaGroup/llama-3-chinese-8b-instruct-v2)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 | 13.2488 +/- 0.17217 |
| Q3_K  |  3.74 GB |  6.9618 +/- 0.08420 |
| Q4_0  |  4.34 GB |  6.8925 +/- 0.08437 |
| Q4_K  |  4.58 GB |  6.4851 +/- 0.07892 |
| Q5_0  |  5.21 GB |  6.4608 +/- 0.07862 |
| Q5_K  |  5.34 GB |  6.3742 +/- 0.07740 |
| Q6_K  |  6.14 GB |  6.3494 +/- 0.07703 |
| Q8_0  |  7.95 GB |  6.3110 +/- 0.07673 |
|  F16  | 14.97 GB |  6.3005 +/- 0.07658 |


## 其他

- 完整模型：https://modelscope.cn/models/ChineseAlpacaGroup/llama-3-chinese-8b-instruct-v2

- LoRA模型：https://modelscope.cn/models/ChineseAlpacaGroup/llama-3-chinese-8b-instruct-v2-lora

- 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-v2-GGUF** (llama.cpp/ollama/tgw, etc. compatible), which is the quantized version of [Llama-3-Chinese-8B-Instruct-v2](https://huggingface.co/hfl/llama-3-chinese-8b-instruct-v2).

**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 | 13.2488 +/- 0.17217 |
| Q3_K  |  3.74 GB |  6.9618 +/- 0.08420 |
| Q4_0  |  4.34 GB |  6.8925 +/- 0.08437 |
| Q4_K  |  4.58 GB |  6.4851 +/- 0.07892 |
| Q5_0  |  5.21 GB |  6.4608 +/- 0.07862 |
| Q5_K  |  5.34 GB |  6.3742 +/- 0.07740 |
| Q6_K  |  6.14 GB |  6.3494 +/- 0.07703 |
| Q8_0  |  7.95 GB |  6.3110 +/- 0.07673 |
|  F16  | 14.97 GB |  6.3005 +/- 0.07658 |


## Others

- For full model, please see: https://huggingface.co/hfl/llama-3-chinese-8b-instruct-v2

- For LoRA-only model, please see: https://huggingface.co/hfl/llama-3-chinese-8b-instruct-v2-lora

- If you have questions/issues regarding this model, please submit an issue through https://github.com/ymcui/Chinese-LLaMA-Alpaca-3