Text Generation
PEFT
Safetensors
lora
qlora
behavioral-evaluation
llm
post-training
model-evaluation
qwen
synthetic-data
Instructions to use aamish-ahmad/behaviortune-v1-1-r1-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aamish-ahmad/behaviortune-v1-1-r1-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B-Instruct-2507") model = PeftModel.from_pretrained(base_model, "aamish-ahmad/behaviortune-v1-1-r1-adapter") - Notebooks
- Google Colab
- Kaggle
Restore adapter metadata
Browse files
README.md
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# BehaviorTune QLoRA Adapter
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QLoRA adapter for `Qwen/Qwen3-4B-Instruct-2507`, trained on the 240-row BehaviorTune training split and evaluated with matched BASE / SYSTEM / CONTEXT / QLoRA conditions.
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---
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base_model: Qwen/Qwen3-4B-Instruct-2507
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library_name: peft
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pipeline_tag: text-generation
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license: other
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datasets:
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- aamish-ahmad/behaviortune-v1-1-r1
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tags:
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- lora
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- qlora
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- behavioral-evaluation
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- llm
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- post-training
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- model-evaluation
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- qwen
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- synthetic-data
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---
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# BehaviorTune QLoRA Adapter
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QLoRA adapter for `Qwen/Qwen3-4B-Instruct-2507`, trained on the 240-row BehaviorTune training split and evaluated with matched BASE / SYSTEM / CONTEXT / QLoRA conditions.
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