kartikg1/nirnay-decider
AI model by kartikg1
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Model card & documentation
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Nirnay scores decisions from a supplied state. It supports multiple-choice, yes/no (noul), and ordinal-score questions. The architecture combines the first 20 Qwen3-0.6B layers with rank-8 LoRA on the last 14 retained layers and a two-layer bidirectional Nirnay post-head (approximately 26.2 million head parameters). Evaluated on 5,000 development questions, with results verified after checkpoint reload. See evaluation.json for the full metrics. This development set was used during model development. Trained on Nirnay Decision v1, a 250K-question decision dataset, for 12,000 updates with effective batch size 64. Architecture and training settings are included in config.yaml. This repository includes the LoRA adapter, custom head in safetensors,…
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Model overview
kartikg1/nirnay-decider is a task-unspecified model repository published by kartikg1 on Hugging Face. The source reports the pytorch library.
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Model facts
- Task
- Not reported
- Library
- pytorch
- Recent downloads (30 days)
- 0
- Cumulative likes
- 2
- Hugging Face trending score
- 2
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2026-10-18T06:24:55.000Z
- Last modified
- 2026-10-18T06:28:44.000Z
Compatibility and lineage
Reported languages: en
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.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-18T06:43:02.030Z. Daily imports are snapshots, not real-time monitoring.
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