Instructions to use underscore2/llama3-8b-bluesky-engagement-kto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use underscore2/llama3-8b-bluesky-engagement-kto with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("underscore2/llama3-8b-bluesky-engagement-kto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Download README.md from underscore2/llama3-8b-bluesky-engagement-kto: direct link, hf CLI and curl.
- Browser
- Download file 600 Bytes
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https://huggingface.co/underscore2/llama3-8b-bluesky-engagement-kto/resolve/4a5407caa35718d0825c60fd6fbd56e08f8023cc/README.md
- Command line
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hf download hf://underscore2/llama3-8b-bluesky-engagement-kto@4a5407caa35718d0825c60fd6fbd56e08f8023cc/README.md
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curl -L -o README.md https://huggingface.co/underscore2/llama3-8b-bluesky-engagement-kto/resolve/4a5407caa35718d0825c60fd6fbd56e08f8023cc/README.md
600 Bytes
| base_model: unsloth/llama-3-8b-instruct-bnb-4bit | |
| tags: | |
| - text-generation-inference | |
| - transformers | |
| - unsloth | |
| - llama | |
| license: apache-2.0 | |
| language: | |
| - en | |
| # Uploaded finetuned model | |
| - **Developed by:** underscore2 | |
| - **License:** apache-2.0 | |
| - **Finetuned from model :** unsloth/llama-3-8b-instruct-bnb-4bit | |
| 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) | |