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--- |
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base_model: google/gemma-2-9b |
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library_name: transformers |
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license: gemma |
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pipeline_tag: text-generation |
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tags: |
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- conversational |
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quantized_by: fedric95 |
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extra_gated_heading: Access Gemma on Hugging Face |
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extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and |
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agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging |
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Face and click below. Requests are processed immediately. |
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extra_gated_button_content: Acknowledge license |
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--- |
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## Llamacpp Quantizations of Meta-Llama-3.1-8B |
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Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3583">b3583</a> for quantization. |
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Original model: https://huggingface.co/google/gemma-2-9b |
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## Download a file (not the whole branch) from below: |
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| Filename | Quant type | File Size | Perplexity (wikitext-2-raw-v1.test) | |
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| -------- | ---------- | --------- | ----------- | |
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| [gemma-2-9b.FP32.gguf](https://huggingface.co/fedric95/gemma-2-9b-GGUF/blob/main/gemma-2-9b.FP32.gguf) | FP32 | 37.00GB | 6.9209 +/- 0.04660 | |
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| [gemma-2-9b-Q8_0.gguf](https://huggingface.co/fedric95/gemma-2-9b-GGUF/blob/main/gemma-2-9b-Q8_0.gguf) | Q8_0 | 9.83GB | 6.9222 +/- 0.04660 | |
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| [gemma-2-9b-Q6_K.gguf](https://huggingface.co/fedric95/gemma-2-9b-GGUF/blob/main/gemma-2-9b-Q6_K.gguf) | Q6_K | 7.59GB | 6.9353 +/- 0.04675 | |
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| [gemma-2-9b-Q5_K_M.gguf](https://huggingface.co/fedric95/gemma-2-9b-GGUF/blob/main/gemma-2-9b-Q5_K_M.gguf) | Q5_K_M | 6.65GB | 6.9571 +/- 0.04687 | |
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| [gemma-2-9b-Q5_K_S.gguf](https://huggingface.co/fedric95/gemma-2-9b-GGUF/blob/main/gemma-2-9b-Q5_K_S.gguf) | Q5_K_S | 6.48GB | 6.9623 +/- 0.04690 | |
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| [gemma-2-9b-Q4_K_M.gguf](https://huggingface.co/fedric95/gemma-2-9b-GGUF/blob/main/gemma-2-9b-Q4_K_M.gguf) | Q4_K_M | 5.76GB | 7.0220 +/- 0.04737 | |
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| [gemma-2-9b-Q4_K_S.gguf](https://huggingface.co/fedric95/gemma-2-9b-GGUF/blob/main/gemma-2-9b-Q4_K_S.gguf) | Q4_K_S | 5.48GB | 7.0622 +/- 0.04777 | |
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| [gemma-2-9b-Q3_K_L.gguf](https://huggingface.co/fedric95/gemma-2-9b-GGUF/blob/main/gemma-2-9b-Q3_K_L.gguf) | Q3_K_L | 5.13GB | 7.2144 +/- 0.04910 | |
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| [gemma-2-9b-Q3_K_M.gguf](https://huggingface.co/fedric95/gemma-2-9b-GGUF/blob/main/gemma-2-9b-Q3_K_M.gguf) | Q3_K_M | 4.76GB | 7.2849 +/- 0.04970 | |
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| [gemma-2-9b-Q3_K_S.gguf](https://huggingface.co/fedric95/gemma-2-9b-GGUF/blob/main/gemma-2-9b-Q3_K_S.gguf) | Q3_K_S | 4.34GB | 7.6869 +/- 0.05373 | |
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| [gemma-2-9b-Q2_K.gguf](https://huggingface.co/fedric95/gemma-2-9b-GGUF/blob/main/gemma-2-9b-Q2_K.gguf) | Q2_K | 3.81GB | 8.7979 +/- 0.06191 | |
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## Benchmark Results |
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| Benchmark | Quant type | Metric | |
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| -------- | ---------- | --------- | |
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| WinoGrande (0-shot) | Q8_0 | | |
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| WinoGrande (0-shot) | Q4_K_M | | |
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| WinoGrande (0-shot) | Q3_K_M | | |
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| WinoGrande (0-shot) | Q3_K_S | 72.6125 +/- 1.2533 | |
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| WinoGrande (0-shot) | Q2_K | 71.4286 +/- 1.2697 | |
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| HellaSwag (0-shot) | Q8_0 | 78.39075881 | |
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| HellaSwag (0-shot) | Q4_K_M | 77.87293368 | |
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| HellaSwag (0-shot) | Q3_K_M | 76.64807807 | |
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| HellaSwag (0-shot) | Q3_K_S | 76.08046206 | |
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| HellaSwag (0-shot) | Q2_K | 73.07309301 | |
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## Downloading using huggingface-cli |
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First, make sure you have hugginface-cli installed: |
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``` |
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pip install -U "huggingface_hub[cli]" |
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``` |
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Then, you can target the specific file you want: |
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``` |
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huggingface-cli download fedric95/gemma-2-9b-GGUF --include "gemma-2-9b-Q4_K_M.gguf" --local-dir ./ |
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``` |
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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: |
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``` |
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huggingface-cli download fedric95/gemma-2-9b-GGUF --include "gemma-2-9b-Q8_0.gguf/*" --local-dir gemma-2-9b-Q8_0 |
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``` |
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You can either specify a new local-dir (gemma-2-9b-Q8_0) or download them all in place (./) |
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## Reproducibility |
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https://github.com/ggerganov/llama.cpp/discussions/9020#discussioncomment-10335638 |
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