Instructions to use moe2382/smollm-mca-agent-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moe2382/smollm-mca-agent-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("moe2382/smollm-mca-agent-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Uploaded model
- Developed by: moe2382
- License: apache-2.0
- Finetuned from model : unsloth/SmolLM2-360M-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth
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Model tree for moe2382/smollm-mca-agent-lora
Base model
HuggingFaceTB/SmolLM2-360M Quantized
HuggingFaceTB/SmolLM2-360M-Instruct Quantized
unsloth/SmolLM2-360M-Instruct-bnb-4bit