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Meta-Llama-3.1-8B-GGUF
fedric95/Meta-Llama-3.1-8B-GGUF
Meta-Llama-3.1-8B-GGUF is a text generation model from fedric95. Use it when you need the model to write or continue text. The card lists the license as llama3.1.
Using <a href="https://github.com/ggerganov/llama.cpp/"llama.cpp</a release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3472"b3472</a for quantization.
All-time downloads
12.9K
Public
Repo size
83.4 GB
Likes
2
Public
Repo makeup
Click a slice to open those files.
.gguf83.4 GB · 100%
At a glance
- Task
- Text Generation
- License
- llama3.1
- Access
- Public
- Created
- Aug 4, 2024
- Updated
- Oct 21, 2024
- SHA
- 073d5a5f
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/b3472">b3472</a> for quantization.
Original model: https://huggingface.co/meta-llama/Meta-Llama-3.1-8B
Download a file (not the whole branch) from below:
| Filename | Quant type | File Size | Perplexity (wikitext-2-raw-v1.test) |
|---|---|---|---|
| Meta-Llama-3.1-8B-BF16.gguf | BF16 | 16.10GB | 6.4006 +/- 0.03938 |
| Meta-Llama-3.1-8B-FP16.gguf | FP16 | 16.10GB | 6.4016 +/- 0.03939 |
| Meta-Llama-3.1-8B-Q8_0.gguf | Q8_0 | 8.54GB | 6.4070 +/- 0.03941 |
| Meta-Llama-3.1-8B-Q6_K.gguf | Q6_K | 6.60GB | 6.4231 +/- 0.03957 |
| Meta-Llama-3.1-8B-Q5_K_M.gguf | Q5_K_M | 5.73GB | 6.4623 +/- 0.03987 |
| Meta-Llama-3.1-8B-Q5_K_S.gguf | Q5_K_S | 5.60GB | 6.5161 +/- 0.04028 |
| Meta-Llama-3.1-8B-Q4_K_M.gguf | Q4_K_M | 4.92GB | 6.5837 +/- 0.04068 |
| Meta-Llama-3.1-8B-Q4_K_S.gguf | Q4_K_S | 4.69GB | 6.6751 +/- 0.04125 |
| Meta-Llama-3.1-8B-Q3_K_L.gguf | Q3_K_L | 4.32GB | 6.9458 +/- 0.04329 |
| Meta-Llama-3.1-8B-Q3_K_M.gguf | Q3_K_M | 4.02GB | 7.0488 +/- 0.04384 |
| Meta-Llama-3.1-8B-Q3_K_S.gguf | Q3_K_S | 3.66GB | 7.8823 +/- 0.04920 |
| Meta-Llama-3.1-8B-Q2_K.gguf | Q2_K | 3.18GB | 9.7262 +/- 0.06393 |
Benchmark Results
Results have been computed using:
| Benchmark | Quant type | Metric |
|---|---|---|
| WinoGrande (0-shot) | Q8_0 | 74.1121 +/- 1.2311 |
| WinoGrande (0-shot) | Q4_K_M | 73.1650 +/- 1.2453 |
| WinoGrande (0-shot) | Q3_K_M | 72.7703 +/- 1.2511 |
| WinoGrande (0-shot) | Q3_K_S | 72.3757 +/- 1.2567 |
| WinoGrande (0-shot) | Q2_K | 68.4294 +/- 1.3063 |
| HellaSwag (0-shot) | Q8_0 | 79.41645091 |
| HellaSwag (0-shot) | Q4_K_M | 79.05795658 |
| HellaSwag (0-shot) | Q3_K_M | 79.41645091 |
| HellaSwag (0-shot) | Q3_K_S | 76.93686517 |
| HellaSwag (0-shot) | Q2_K | 72.16689902 |
| MMLU (0-shot) | Q8_0 | 39.4703 +/- 1.2427 |
| MMLU (0-shot) | Q4_K_M | 39.5349 +/- 1.2431 |
| MMLU (0-shot) | Q3_K_M | 38.8889 +/- 1.2394 |
| MMLU (0-shot) | Q3_K_S | 37.2739 +/- 1.2294 |
| MMLU (0-shot) | Q2_K | 35.4651 +/- 1.2163 |
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/Meta-Llama-3.1-8B-GGUF --include "Meta-Llama-3.1-8B-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/Meta-Llama-3.1-8B-GGUF --include "Meta-Llama-3.1-8B-Q8_0.gguf/*" --local-dir Meta-Llama-3.1-8B-Q8_0
You can either specify a new local-dir (Meta-Llama-3.1-8B-Q8_0) or download them all in place (./)
Reproducibility
https://github.com/ggerganov/llama.cpp/issues/8650#issuecomment-2261497976
- Task
- Text Generation
- License
- llama3.1
- Languages
- en, de, fr, it, pt, hi
- Created
- Aug 4, 2024
- Updated
- Oct 21, 2024