Text Generation
PEFT
Safetensors
English
jumplander
jx
qwen2.5
qwen2.5-coder
coding-agent
agentic-ai
software-engineering
repository-understanding
goal-grounding
tool-use
behavioral-policy
qlora
lora
conversational
Instructions to use jumplander/JX-Coder-7B-Agent-Behavior with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jumplander/JX-Coder-7B-Agent-Behavior 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, "jumplander/JX-Coder-7B-Agent-Behavior") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51107e657bc4a9fdccf6590c35dd999cc5f25febb9f5cc6c24bce0029b207b4a
- Size of remote file:
- 80.8 MB
- SHA256:
- 05604b75d2e8839cca99a817ef506412b95146ed4cafc072a1a4e611feec11c5
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