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:
- d5abde1e0986a19c11269148bbb0534215c153bf54b6ee13c97a03b726258618
- Size of remote file:
- 646 MB
- SHA256:
- 8436e2f27afe3726af40373e26bfcb2c764513ff2737067e33d3002c07098ade
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