Instructions to use 4lireza1/meta3.1-v0.1-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 4lireza1/meta3.1-v0.1-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("4lireza1/meta3.1-v0.1-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
| base_model: mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated | |
| language: | |
| - en | |
| license: apache-2.0 | |
| tags: | |
| - text-generation-inference | |
| - transformers | |
| - unsloth | |
| - llama | |
| - trl | |
| # Uploaded model | |
| - **Developed by:** 4lireza1 | |
| - **License:** apache-2.0 | |
| - **Finetuned from model :** mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated | |
| This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. | |
| [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) | |