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hfl/chinese-alpaca-2-7b-16k-gguf
chinese-alpaca-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-Alpaca-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-Alpaca-2-7B-16K.
Metric: PPL, lower is better
| Quant | original | imatrix (-im) |
|---|---|---|
| Q2_K | 11.8181 +/- 0.16402 | 13.6285 +/- 0.19294 |
| Q3_K | 9.5596 +/- 0.13369 | 9.3748 +/- 0.13108 |
| Q4_0 | 9.6480 +/- 0.13459 | - |
| Q4_K | 8.9622 +/- 0.12507 | 8.9229 +/- 0.12467 |
| Q5_0 | 8.9274 +/- 0.12485 | - |
| Q5_K | 8.8370 +/- 0.12353 | 8.8221 +/- 0.12348 |
| Q6_K | 8.7830 +/- 0.12290 | 8.7695 +/- 0.12260 |
| Q8_0 | 8.7644 +/- 0.12261 | - |
| F16 | 8.7676 +/- 0.12268 | - |
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-alpaca-2-7b-16k
Please refer to https://github.com/ymcui/Chinese-LLaMA-Alpaca-2/ for more details.