README.md

---
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 <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/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](https://huggingface.co/fedric95/Qwen2-7B-GGUF/blob/main/Qwen2-7B.BF16.gguf) | BF16 | 15.2GB | coming_soon |
| [Qwen2-7B-Q8_0.gguf](https://huggingface.co/fedric95/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q8_0.gguf) | Q8_0 | 8.1GB | 7.3817 +/- 0.04777 |
| [Qwen2-7B-Q6_K.gguf](https://huggingface.co/fedric95/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q6_K.gguf) | Q6_K | 6.25GB | 7.3914 +/- 0.04776 |
| [Qwen2-7B-Q5_K_M.gguf](https://huggingface.co/fedric95/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q5_K_M.gguf) | Q5_K_M | 5.44GB | 7.4067 +/- 0.04794 |
| [Qwen2-7B-Q5_K_S.gguf](https://huggingface.co/fedric95/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q5_K_S.gguf) | Q5_K_S | 5.32GB | 7.4291 +/- 0.04822 |
| [Qwen2-7B-Q4_K_M.gguf](https://huggingface.co/fedric95/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q4_K_M.gguf) | Q4_K_M | 4.68GB | 7.4796 +/- 0.04856 |
| [Qwen2-7B-Q4_K_S.gguf](https://huggingface.co/fedric95/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q4_K_S.gguf) | Q4_K_S | 4.46GB | 7.5221 +/- 0.04879 |
| [Qwen2-7B-Q3_K_L.gguf](https://huggingface.co/fedric95/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q3_K_L.gguf) | Q3_K_L | 4.09GB | 7.6843 +/- 0.05000 |
| [Qwen2-7B-Q3_K_M.gguf](https://huggingface.co/fedric95/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q3_K_M.gguf) | Q3_K_M | 3.81GB | 7.7390 +/- 0.05015 |
| [Qwen2-7B-Q3_K_S.gguf](https://huggingface.co/fedric95/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q3_K_S.gguf) | Q3_K_S | 3.49GB | 9.3743 +/- 0.06023 |
| [Qwen2-7B-Q2_K.gguf](https://huggingface.co/fedric95/Qwen2-7B-GGUF/blob/main/Qwen2-7B-Q2_K.gguf) | Q2_K | 3.02GB | 10.5122 +/- 0.06850 |

## Benchmark Results 

Results have been computed using:

[hellaswage_val_full](https://raw.githubusercontent.com/klosax/hellaswag_text_data/main/hellaswag_val_full.txt)

[winogrande-debiased-eval](https://huggingface.co/datasets/ikawrakow/winogrande-eval-for-llama.cpp/raw/main/winogrande-debiased-eval.csv)

[mmlu-validation](https://huggingface.co/datasets/ikawrakow/validation-datasets-for-llama.cpp/resolve/main/mmlu-validation.bin)

| 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