ebnezr-isaac/phi-4-mini-traffic-signal
text-generation model by ebnezr-isaac
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
Phi-4-mini-instruct (3.8B), QLoRA fine-tuned (r=16) on all four prompt formats of the distillation set (59,533 rows) on an RTX 4090, then served int4 on a 6 GB RTX 2060 through Foundry Local at sub-second median latency. Offline agreement with the teacher labels on the frozen holdout: delay-aware 97.1%, myopic 88.7%, prediction 97.4%, coordination 99.3%: statistically indistinguishable from the 0.6B Qwen student, which is the dissertation's scale-saturation finding. In closed loop on calibrated Bloomsbury (simulation, 30 seeds) it matched the MaxPressure baseline to within 0.03% and beat a fixed-time plan by 8.8%. 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 2026-10-06T07:39:03.716Z
Inside the original model card — Document outline
- Phi-4-mini fine-tuned for traffic-signal phase selection
- Use it with Foundry Local
- Limitations
- Training data
- Citation
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the model card
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
ebnezr-isaac/phi-4-mini-traffic-signal is a text-generation model repository published by ebnezr-isaac on Hugging Face. The source reports the onnxruntime-genai library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
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
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-10-06T06:13:14.000Z
- Last modified
- 2026-10-06T06:18:04.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: microsoft/Phi-4-mini-instruct
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.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-06T06:39:56.505Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.