Llamacpp Quantizations of Meta-Llama-3.1-8B
Using llama.cpp release b3583 for quantization.
Original model: https://huggingface.co./google/gemma-2-2b
Download a file (not the whole branch) from below:
| Filename | Quant type | File Size | Perplexity (wikitext-2-raw-v1.test) |
|---|---|---|---|
| gemma-2-2b.FP32.gguf | FP32 | 10.50GB | 8.9236 +/- 0.06373 |
| gemma-2-2b-Q8_0.gguf | Q8_0 | 2.78GB | 8.9299 +/- 0.06377 |
| gemma-2-2b-Q6_K.gguf | Q6_K | 2.15GB | 8.9570 +/- 0.06404 |
| gemma-2-2b-Q5_K_M.gguf | Q5_K_M | 1.92GB | 9.0061 +/- 0.06461 |
| gemma-2-2b-Q5_K_S.gguf | Q5_K_S | 1.88GB | 9.0096 +/- 0.06451 |
| gemma-2-2b-Q4_K_M.gguf | Q4_K_M | 1.71GB | 9.2260 +/- 0.06643 |
| gemma-2-2b-Q4_K_S.gguf | Q4_K_S | 1.64GB | 9.3116 +/- 0.06726 |
| gemma-2-2b-Q3_K_L.gguf | Q3_K_L | 1.55GB | 9.5683 +/- 0.06909 |
| gemma-2-2b-Q3_K_M.gguf | Q3_K_M | 1.46GB | 9.7759 +/- 0.07120 |
| gemma-2-2b-Q3_K_S.gguf | Q3_K_S | 1.36GB | 10.8067 +/- 0.08032 |
| gemma-2-2b-Q2_K.gguf | Q2_K | 1.23GB | 13.8994 +/- 0.10723 |
Benchmark Results
Results have been computed using:
| Benchmark | Quant type | Metric |
|---|---|---|
| WinoGrande (0-shot) | Q8_0 | 68.3504 +/- 1.3072 |
| WinoGrande (0-shot) | Q4_K_M | 67.5612 +/- 1.3157 |
| WinoGrande (0-shot) | Q3_K_M | 65.9037 +/- 1.3323 |
| WinoGrande (0-shot) | Q3_K_S | 66.6930 +/- 1.3246 |
| WinoGrande (0-shot) | Q2_K | 63.2991 +/- 1.3546 |
| HellaSwag (0-shot) | Q8_0 | 71.25074686 |
| HellaSwag (0-shot) | Q4_K_M | 69.95618403 |
| HellaSwag (0-shot) | Q3_K_M | 68.00438160 |
| HellaSwag (0-shot) | Q3_K_S | 69.95618403 |
| HellaSwag (0-shot) | Q2_K | 59.38060147 |
| MMLU (0-shot) | Q8_0 | 35.5943 +/- 1.2173 |
| MMLU (0-shot) | Q4_K_M | 35.5943 +/- 1.2173 |
| MMLU (0-shot) | Q3_K_M | 35.2067 +/- 1.2143 |
| MMLU (0-shot) | Q3_K_S | 33.9147 +/- 1.2037 |
| MMLU (0-shot) | Q2_K | 33.0749 +/- 1.1962 |
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/gemma-2-2b-GGUF --include "gemma-2-2b-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/gemma-2-2b-GGUF --include "gemma-2-2b-Q8_0.gguf/*" --local-dir gemma-2-2b-Q8_0
You can either specify a new local-dir (gemma-2-2b-Q8_0) or download them all in place (./)
Reproducibility
https://github.com/ggerganov/llama.cpp/discussions/9020#discussioncomment-10335638
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Base model
google/gemma-2-2b