Text Generation
PEFT
Safetensors
code
code-review
security
qwen2.5-coder
lora
bad-theory-labs
conversational
Instructions to use affableiq/btl-2-coder-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use affableiq/btl-2-coder-7B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen2.5-coder-7b-instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "affableiq/btl-2-coder-7B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7a38432dc414ff2fc7db7b6de5359dd36ef1d6c85bce1c5983bae58e1d8ad6d
- Size of remote file:
- 5.27 kB
- SHA256:
- 5811e0147d545faafa9083e10f21552c17b4e3ae375a37b3c8acd79751833548
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