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hfl/chinese-llama-2-7b-16k-gguf
chinese-llama-2-7b-16k-gguf is a machine learning model from hfl. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This repository contains the GGUF-v3 models (llama.cpp compatible) for Chinese-LLaMA-2-7B-16K.
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From the Hugging Face model README
This repository contains the GGUF-v3 models (llama.cpp compatible) for Chinese-LLaMA-2-7B-16K.
Metric: PPL, lower is better
| Quant | original | imatrix (-im) |
|---|---|---|
| Q2_K | 11.5580 +/- 0.23848 | 12.3757 +/- 0.26048 |
| Q3_K | 9.8263 +/- 0.20663 | 9.7124 +/- 0.20569 |
| Q4_0 | 9.6558 +/- 0.20657 | - |
| Q4_K | 9.5590 +/- 0.20460 | 9.4945 +/- 0.20337 |
| Q5_0 | 9.2767 +/- 0.19835 | - |
| Q5_K | 9.4303 +/- 0.20305 | 9.4275 +/- 0.20291 |
| Q6_K | 9.4046 +/- 0.20272 | 9.4106 +/- 0.20284 |
| Q8_0 | 9.2145 +/- 0.19943 | - |
| F16 | 9.4045 +/- 0.20289 | - |
The model with -im suffix is generated with important matrix, which has generally better performance (not always though).
For Hugging Face version, please see: https://huggingface.co/hfl/chinese-llama-2-7b-16k
Please refer to https://github.com/ymcui/Chinese-LLaMA-Alpaca-2/ for more details.