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:
- 213b1554fd7eefa3de9dab90bf5e37f1302a5aae305e5aff37d59d161da255ad
- Size of remote file:
- 11.4 MB
- SHA256:
- ea43b288542655d72d632195ab9b58ca2cd9532c292bf6667827ce899ad196bc
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