Instructions to use Devique/Calmiq-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Devique/Calmiq-lora with PEFT:
Task type is invalid.
- Transformers
How to use Devique/Calmiq-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Devique/Calmiq-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use Devique/Calmiq-lora with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Devique/Calmiq-lora to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Devique/Calmiq-lora to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Devique/Calmiq-lora to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Devique/Calmiq-lora", max_seq_length=2048, )
Upload LoRA adapters and tokenizer after fine-tuning
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README.md
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base_model: unsloth/gemma-3n-e4b-it-unsloth-bnb-4bit
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pipeline_tag: text-generation
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[More Information Needed]
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### Framework versions
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