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.
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
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