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
| a5d81b7fbba4f0a09ec88ca7206d2d25d9dbf141b6f236afe517b7647ea2aa5c README.md | |
| 74cf19bc8a8e21d384d24026ae06fcba2b0168826ae847d46dff2107cecd0e20 SHA256SUMS | |
| 755d5b561d039e97ad67b99c75dd1f8312d768f7f1879a120e2fcef33596e274 adapter_config.json | |
| 8436e2f27afe3726af40373e26bfcb2c764513ff2737067e33d3002c07098ade adapter_model.safetensors | |
| cd8e9439f0570856fd70470bf8889ebd8b5d1107207f67a5efb46e342330527f chat_template.jinja | |
| ea43b288542655d72d632195ab9b58ca2cd9532c292bf6667827ce899ad196bc tokenizer.json | |
| 7cd38d182a09f57796af5ef7dbe15c9fa8595fdaa94c5cba9a3065f6e987b1fd tokenizer_config.json | |
| 5811e0147d545faafa9083e10f21552c17b4e3ae375a37b3c8acd79751833548 training_args.bin | |