Instructions to use Jacqkues/SmlReason-SFT-LIMO-1-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jacqkues/SmlReason-SFT-LIMO-1-adapter with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Jacqkues/SmlReason-SFT-LIMO-1-adapter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: Jacqkues
- License: apache-2.0
- Finetuned from model : unsloth/SmolLM2-1.7B-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for Jacqkues/SmlReason-SFT-LIMO-1-adapter
Base model
HuggingFaceTB/SmolLM2-1.7B Quantized
HuggingFaceTB/SmolLM2-1.7B-Instruct Quantized
unsloth/SmolLM2-1.7B-Instruct-bnb-4bit