Instructions to use SP4ND4N/SmolLM2-360M-Instruct-bnb-4bit-2025-08-18_08-20-29 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SP4ND4N/SmolLM2-360M-Instruct-bnb-4bit-2025-08-18_08-20-29 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SP4ND4N/SmolLM2-360M-Instruct-bnb-4bit-2025-08-18_08-20-29", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: SP4ND4N
- License: apache-2.0
- Finetuned from model : unsloth/SmolLM2-360M-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for SP4ND4N/SmolLM2-360M-Instruct-bnb-4bit-2025-08-18_08-20-29
Base model
HuggingFaceTB/SmolLM2-360M Quantized
HuggingFaceTB/SmolLM2-360M-Instruct Quantized
unsloth/SmolLM2-360M-Instruct-bnb-4bit