Instructions to use sampluralis/llama-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sampluralis/llama-sft with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sampluralis/llama-sft", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 13135
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README.md
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## Training procedure
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/ajanthan-pluralis-research/huggingface/runs/
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This model was trained with SFT.
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## Training procedure
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/ajanthan-pluralis-research/huggingface/runs/1m05mync)
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This model was trained with SFT.
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model.safetensors
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