rj7002/ngs-ask-0.5b-MLC
AI model by rj7002
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Model card & documentation
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Qwen2.5-0.5B-Instruct fine-tuned (LoRA, fused) for one job: in the NGS Explorer's Ask bar, read the words of an NFL play question that the app's rule parser couldn't place and turn them into filters. It runs in the visitor's browser with WebLLM and uses WebLLM's prebuilt Qwen2.5-0.5B model library; only the weights here differ. Input (chat): a short system prompt, then dataset, question, applied…
Read the full model card ↗ · Preview checked 2026-10-31T08:37:27.079Z
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Model overview
rj7002/ngs-ask-0.5b-MLC is a task-unspecified model repository published by rj7002 on Hugging Face. The source reports the mlc-llm library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- Not reported
- Library
- mlc-llm
- 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
- 2026-10-14T06:22:16.000Z
- Last modified
- 2026-10-14T06:23:13.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen2.5-0.5B-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
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-14T06:42:09.182Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.