ebnezr-isaac/qwen3-0.6b-traffic-signal-ft2
text-generation model by ebnezr-isaac
From the publisher
Model card & documentation
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Qwen3-0.6B, QLoRA fine-tuned (r=16, 2 epochs) on all four prompt formats of the distillation set (59,533 rows), about 13.5 hours on an RTX 2060 (6 GB), served int4 through Foundry Local. Offline agreement with the teacher labels on the frozen 5,580-row holdout, by prompt format: myopic 87.9%, delay-aware 97.7%, prediction 97.6%, coordination 99.0% (stock Qwen3-0.6B through the same pipeline: 45.6 / 55.1 / 63.3 / 69.3%). 100% valid JSON on every format. Statistically indistinguishable from the 3.8B Phi-4-mini student trained on the same data. lora/ holds the LoRA adapter (base Qwen/Qwen3-0.6B). Then drive a SUMO simulation with it from the project repo: The controller asks the model for the next green phase as JSON; a deterministic safety shield (conflict-free phases only, MaxPressure fallback, anti-starvation timer) sits underneath it, and every decision goes into a signed,…
Read the full model card ↗ · Preview checked 2026-10-06T07:43:58.815Z
Inside the original model card — Document outline
- Qwen3-0.6B fine-tuned for traffic-signal phase selection (ft2, all-format generalist)
- Use it with Foundry Local
- Limitations
- Training data
- Citation
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Model overview
ebnezr-isaac/qwen3-0.6b-traffic-signal-ft2 is a text-generation model repository published by ebnezr-isaac on Hugging Face. The source reports the onnxruntime-genai library.
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Model facts
- Task
- text-generation
- Library
- onnxruntime-genai
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-06T06:11:40.000Z
- Last modified
- 2026-10-06T06:18:01.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen3-0.6B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-06T06:39:56.505Z. Daily imports are snapshots, not real-time monitoring.
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