Text Generation
PEFT
Safetensors
English
code
typescript
lora
qwen2.5-coder
autonomous-agent
software-engineering
conversational
Instructions to use Tornado9991/antcoder-builder-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Tornado9991/antcoder-builder-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "Tornado9991/antcoder-builder-7b") - Notebooks
- Google Colab
- Kaggle
Publish held-out test contracts (builder_test.jsonl) for public benchmark verification
f04f746 verified Download builder_test.jsonl from Tornado9991/antcoder-builder-7b: direct link, hf CLI and curl.
- Browser
- Download file 2.91 MB
-
https://huggingface.co/Tornado9991/antcoder-builder-7b/resolve/main/builder_test.jsonl
- Command line
-
hf download hf://Tornado9991/antcoder-builder-7b/builder_test.jsonl
-
curl -L -o builder_test.jsonl https://huggingface.co/Tornado9991/antcoder-builder-7b/resolve/main/builder_test.jsonl
2.91 MB
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