109 lines
3.2 KiB
Markdown
109 lines
3.2 KiB
Markdown
---
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frameworks:
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- other
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license: Apache License 2.0
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model-type:
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- llama
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language:
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- zh
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- en
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tools:
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- llamacpp
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#model-type:
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##如 gpt、phi、llama、chatglm、baichuan 等
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#- gpt
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#domain:
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##如 nlp、cv、audio、multi-modal
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#- nlp
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#language:
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##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
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#- cn
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#metrics:
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##如 CIDEr、Blue、ROUGE 等
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#- CIDEr
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#tags:
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##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
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#- pretrained
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#tools:
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##如 vllm、fastchat、llamacpp、AdaSeq 等
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#- vllm
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---
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---
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license: apache-2.0
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language:
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- zh
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- en
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---
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# Llama-3-Chinese-8B-Instruct-v3-GGUF
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<p align="center">
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<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>
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</p>
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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。
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**注意：这是一个指令模型，可以直接适用于对话、问答等任务。**
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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
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## 量化性能
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评测指标：PPL，**越低越好**
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| Quant | Size | PPL |
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| :---: | -------: | ------------------: |
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| Q2_K | 2.96 GB | 10.0534 +/- 0.13135 |
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| Q3_K | 3.74 GB | 6.3295 +/- 0.07816 |
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| Q4_0 | 4.34 GB | 6.3200 +/- 0.07893 |
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| Q4_K | 4.58 GB | 6.0042 +/- 0.07431 |
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| Q5_0 | 5.21 GB | 6.0437 +/- 0.07526 |
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| Q5_K | 5.34 GB | 5.9484 +/- 0.07399 |
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| Q6_K | 6.14 GB | 5.9469 +/- 0.07404 |
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| Q8_0 | 7.95 GB | 5.8933 +/- 0.07305 |
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| F16 | 14.97 GB | 5.8902 +/- 0.07303 |
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## 其他
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- 完整模型：https://modelscope.cn/models/ChineseAlpacaGroup/llama-3-chinese-8b-instruct-v3
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- 关于本模型的提问，请通过 https://github.com/ymcui/Chinese-LLaMA-Alpaca-3 提交issue
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----
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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).
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**Note: this is an instruction (chat) model, which can be used for conversation, QA, etc.**
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Further details (performance, usage, etc.) should refer to GitHub project page: https://github.com/ymcui/Chinese-LLaMA-Alpaca-3
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## Performance
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Metric: PPL, lower is better
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| Quant | Size | PPL |
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| :---: | -------: | ------------------: |
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| Q2_K | 2.96 GB | 10.0534 +/- 0.13135 |
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| Q3_K | 3.74 GB | 6.3295 +/- 0.07816 |
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| Q4_0 | 4.34 GB | 6.3200 +/- 0.07893 |
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| Q4_K | 4.58 GB | 6.0042 +/- 0.07431 |
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| Q5_0 | 5.21 GB | 6.0437 +/- 0.07526 |
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| Q5_K | 5.34 GB | 5.9484 +/- 0.07399 |
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| Q6_K | 6.14 GB | 5.9469 +/- 0.07404 |
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| Q8_0 | 7.95 GB | 5.8933 +/- 0.07305 |
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| F16 | 14.97 GB | 5.8902 +/- 0.07303 |
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## Others
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- For full model, please see: https://huggingface.co/hfl/llama-3-chinese-8b-instruct-v3
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- If you have questions/issues regarding this model, please submit an issue through https://github.com/ymcui/Chinese-LLaMA-Alpaca-3 |