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AgentDoG-Qwen3.5-0.8B-6Label
Tengpaz/AgentDoG-Qwen3.5-0.8B-6Label
AgentDoG-Qwen3.5-0.8B-6Label is a machine learning model from Tengpaz. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This repository contains the imported Qwen3.5-0.8B full-parameter SFT checkpoint for the six-label + reason AgentDoG trajectory safety task.
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At a glance
- License
- apache-2.0
- Model type
- qwen3_5_text
- Access
- Public
- Created
- Jul 5, 2026
- Updated
- Jul 5, 2026
- SHA
- d17499d9
Base models
Model card
From the Hugging Face model README
AgentDoG-Qwen3.5-0.8B-6Label
This repository contains the imported Qwen3.5-0.8B full-parameter SFT checkpoint for the six-label + reason AgentDoG trajectory safety task.
Task
Input: an agent trajectory.
Expected JSON fields:
{
"judgment": "safe|unsafe",
"source": "Safe|Unsafe|Benign|False_Refusal",
"risk_source": "...",
"failure_mode": "...",
"harm_type": "...",
"reason": "..."
}
Source
Local project path before upload:
checkpoints/imported/qwen35-0.8b-6label/
Original archive:
/Users/a1234/Downloads/qwen35-0.8b-6label.tar.gz
Reported Results
| Task | Dataset | Accuracy | Macro-F1 / F1 | Valid Output |
|---|---|---|---|---|
| Six-label binary field | R-Judge | 0.8582 | 0.8581 | 100% |
| Train-set pass@8 | Train set | 1.0000 | 1.0000 | 100% valid rollout |
Notes
The TraceHound repository also keeps GRPO training code for the six-label + reason task. Final GRPO result tables should be added after the full run is complete.
- Type
- qwen3_5_text
- License
- apache-2.0
- Created
- Jul 5, 2026
- Updated
- Jul 5, 2026