metadata
base_model: Qwen/Qwen2-7B
library_name: transformers
license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- conversational
quantized_by: fedric95
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:
| 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