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aamish-ahmad/behaviortune-v1-1-r1-adapter
behaviortune-v1-1-r1-adapter is a text generation model from aamish-ahmad. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as other.
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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From the Hugging Face model README
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.
On the frozen eval_core set, QLoRA increased format-valid activation from 0.65625 to 1.00000 — a +0.34375 (+34.375 percentage-point) matched shift, with a paired-bootstrap 95% CI of [0.1875, 0.5].
| Item | Value |
|---|---|
| Base model | Qwen/Qwen3-4B-Instruct-2507 |
| Base revision | cdbee75f17c01a7cc42f958dc650907174af0554 |
| Training rows | 240 |
| Epochs | 3 |
| Optimizer steps | 90 |
| Quantization | 4-bit NF4, BF16 compute |
| LoRA | rank 32, alpha 64, dropout 0.05, all linear projections |
| Effective batch size | 8 |
| Learning rate | 0.0002 |
| Seed | 147 |
| Hardware | NVIDIA A100-SXM4-40GB |
8d16ef2cb6ff7a982511fd58f21eff52538761f4d198b4cc5cbfd73ca7c9d4deV1.1-R1Load the pinned base revision and attach this PEFT adapter.
The measured result is limited to the frozen eval_core evaluation under BASE, SYSTEM, CONTEXT, and QLoRA. It does not establish results for holdouts, LONG-NEUTRAL, persistence, remediation, or other model families.
license: other applies to this adapter repository. The upstream base model remains governed by its own license.