Downloads · 30 days
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13% of all-time downloads
Akirami/vanilla-llama-3-8b-bnb-4bit
vanilla-llama-3-8b-bnb-4bit is a text generation model from Akirami. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama2.
Directly quantized 4bit model with bitsandbytes. Built with Meta Llama 3
Downloads · 30 days
9
13% of all-time downloads
All-time downloads
72
Public
Parameters
8.2B
5.7 GB on disk
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0
Public
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.safetensors5.7 GB · 100%
How the weights are stored.
U87.2B · 87%
From the Hugging Face model README
Directly quantized 4bit model with bitsandbytes. Built with Meta Llama 3
We have a Google Colab Tesla T4 notebook for Llama-3 8b here: https://colab.research.google.com/drive/135ced7oHytdxu3N2DNe1Z0kqjyYIkDXp?usp=sharing
<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/Discord%20button.png" width="200"/> <img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/buy%20me%20a%20coffee%20button.png" width="200"/> <img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>
All notebooks are beginner friendly! Add your dataset, click "Run All", and you'll get a 2x faster finetuned model which can be exported to GGUF, vLLM or uploaded to Hugging Face.
| Unsloth supports | Free Notebooks | Performance | Memory use |
|---|---|---|---|
| Llama-3 8b | ▶️ Start on Colab | 2.4x faster | 58% less |
| Gemma 7b | ▶️ Start on Colab | 2.4x faster | 58% less |
| Mistral 7b | ▶️ Start on Colab | 2.2x faster | 62% less |
| Llama-2 7b | ▶️ Start on Colab | 2.2x faster | 43% less |
| TinyLlama | ▶️ Start on Colab | 3.9x faster | 74% less |
| CodeLlama 34b A100 | ▶️ Start on Colab | 1.9x faster | 27% less |
| Mistral 7b 1xT4 | ▶️ Start on Kaggle | 5x faster* | 62% less |
| DPO - Zephyr | ▶️ Start on Colab | 1.9x faster | 19% less |