fedric95/Qwen2-7B-GGUF

Llamacpp Quantizations of Meta-Llama-3.1-8B

Using llama.cpp release b3583 for quantization.

Original model: https://huggingface.co/google/Qwen2-7B

Download a file (not the whole branch) from below:

Filename	Quant type	File Size	Perplexity (wikitext-2-raw-v1.test)
Qwen2-7B.BF16.gguf	BF16	15.2GB	coming_soon
Qwen2-7B-Q8_0.gguf	Q8_0	8.1GB	7.3817 +/- 0.04777
Qwen2-7B-Q6_K.gguf	Q6_K	6.25GB	7.3914 +/- 0.04776
Qwen2-7B-Q5_K_M.gguf	Q5_K_M	5.44GB	7.4067 +/- 0.04794
Qwen2-7B-Q5_K_S.gguf	Q5_K_S	5.32GB	7.4291 +/- 0.04822
Qwen2-7B-Q4_K_M.gguf	Q4_K_M	4.68GB	7.4796 +/- 0.04856
Qwen2-7B-Q4_K_S.gguf	Q4_K_S	4.46GB	7.5221 +/- 0.04879
Qwen2-7B-Q3_K_L.gguf	Q3_K_L	4.09GB	7.6843 +/- 0.05000
Qwen2-7B-Q3_K_M.gguf	Q3_K_M	3.81GB	7.7390 +/- 0.05015
Qwen2-7B-Q3_K_S.gguf	Q3_K_S	3.49GB	9.3743 +/- 0.06023
Qwen2-7B-Q2_K.gguf	Q2_K	3.02GB	10.5122 +/- 0.06850

Benchmark Results

Results have been computed using:

hellaswage_val_full

winogrande-debiased-eval

mmlu-validation

Benchmark	Quant type	Metric
WinoGrande (0-shot)	Q8_0	71.8232 +/- 1.2643
WinoGrande (0-shot)	Q4_K_M	71.3496 +/- 1.2707
WinoGrande (0-shot)	Q3_K_M	70.1657 +/- 1.2859
WinoGrande (0-shot)	Q3_K_S	70.3236 +/- 1.2839
WinoGrande (0-shot)	Q2_K	68.2715 +/- 1.3081
HellaSwag (0-shot)	Q8_0	78.00238996
HellaSwag (0-shot)	Q4_K_M	77.92272456
HellaSwag (0-shot)	Q3_K_M	76.97669787
HellaSwag (0-shot)	Q3_K_S	74.96514639
HellaSwag (0-shot)	Q2_K	72.71459869
MMLU (0-shot)	Q8_0	39.1473 +/- 1.2409
MMLU (0-shot)	Q4_K_M	38.5013 +/- 1.2372
MMLU (0-shot)	Q3_K_M	38.0491 +/- 1.2344
MMLU (0-shot)	Q3_K_S	39.3411 +/- 1.2420
MMLU (0-shot)	Q2_K	35.4005 +/- 1.2158

Downloading using huggingface-cli

First, make sure you have hugginface-cli installed:

pip install -U "huggingface_hub[cli]"

Then, you can target the specific file you want:

huggingface-cli download fedric95/Qwen2-7B-GGUF --include "Qwen2-7B-Q4_K_M.gguf" --local-dir ./

If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run:

huggingface-cli download fedric95/Qwen2-7B-GGUF --include "Qwen2-7B-Q8_0.gguf/*" --local-dir Qwen2-7B-Q8_0

You can either specify a new local-dir (Qwen2-7B-Q8_0) or download them all in place (./)

Reproducibility

Same instructions of: https://github.com/ggerganov/llama.cpp/discussions/9020#discussioncomment-10335638