metadata
base_model: google/gemma-2-9b
library_name: transformers
license: gemma
pipeline_tag: text-generation
tags:
- conversational
quantized_by: fedric95
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Llamacpp Quantizations of Meta-Llama-3.1-8B
Using llama.cpp release b3583 for quantization.
Original model: https://huggingface.co/google/gemma-2-9b
Download a file (not the whole branch) from below:
| Filename | Quant type | File Size | Perplexity (wikitext-2-raw-v1.test) |
|---|---|---|---|
| gemma-2-9b.FP32.gguf | FP32 | 37.00GB | coming_soon |
| gemma-2-9b-Q8_0.gguf | Q8_0 | 9.83GB | coming_soon |
| gemma-2-9b-Q6_K.gguf | Q6_K | 7.59GB | coming_soon |
| gemma-2-9b-Q5_K_M.gguf | Q5_K_M | 6.65GB | coming_soon |
| gemma-2-9b-Q5_K_S.gguf | Q5_K_S | 6.48GB | coming_soon |
| gemma-2-9b-Q4_K_M.gguf | Q4_K_M | 5.76GB | coming_soon |
| gemma-2-9b-Q4_K_S.gguf | Q4_K_S | 5.48GB | coming_soon |
| gemma-2-9b-Q3_K_L.gguf | Q3_K_L | 5.13GB | coming_soon |
| gemma-2-9b-Q3_K_M.gguf | Q3_K_M | 4.76GB | coming_soon |
| gemma-2-9b-Q3_K_S.gguf | Q3_K_S | 4.34GB | coming_soon |
| gemma-2-9b-Q2_K.gguf | Q2_K | 3.81GB | coming_soon |
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-2-9b-GGUF --include "gemma-2-9b-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-2-9b-GGUF --include "gemma-2-9b-Q8_0.gguf/*" --local-dir gemma-2-9b-Q8_0
You can either specify a new local-dir (gemma-2-9b-Q8_0) or download them all in place (./)
Reproducibility
https://github.com/ggerganov/llama.cpp/discussions/9020#discussioncomment-10335638