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gemma-2-2b-GGUF
fedric95/gemma-2-2b-GGUF
gemma-2-2b-GGUF is a text generation model from fedric95. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as gemma.
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.
All-time downloads
9.4K
Public
Repo size
28.2 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.gguf28.2 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- gemma
- Access
- Public
- Created
- Aug 14, 2024
- Updated
- Oct 21, 2024
- SHA
- 98d8de59
Try a prompt
Base models
Model card
From the Hugging Face model README
Llamacpp Quantizations of Meta-Llama-3.1-8B
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.
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
- Task
- Text Generation
- Library
- transformers
- License
- gemma
- Created
- Aug 14, 2024
- Updated
- Oct 21, 2024