SinhalaMMLU-SharedTask/team-shilpa-shastra
multiple-choice model by SinhalaMMLU-SharedTask
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Model card & documentation
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Inference code and submitted predictions for our final Codabench entry: 49.6269 macro on the hidden Shared Task test. Also here: MODEL-MANIFEST.md (rule 06), kernel-metadata-easy-gate.json, and artifacts/ with the submitted archive and the scored run's provenance and counters. Training-free, two stages, two models — 3B + 4.0B = 7.0B total, within the 8B limit. Items are answered in English: a model that is strong in English reads the text after it has been translated out of the Sinhala script. No classifier, router, reranker, embedding model, retrieval or ensemble beyond those two models; nothing quantised, no adapter applied. Parameter, licence and load-setting detail — including the one disclosed load-time fix to MADLAD's weight tying under transformers 5 — is in MODEL-MANIFEST.md. Prompt wording and TAU were chosen on the organisers' released development set only, never on the hidden…
Read the full model card ↗ · Preview checked 2026-10-29T09:17:47.453Z
Inside the original model card — Document outline
- Team Shilpa Shastra — SinhalaMMLU Shared Task (ICTer 2026)
- Team details
- What you asked for
- Method
- Re-running it
- License
- Reference
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Model overview
SinhalaMMLU-SharedTask/team-shilpa-shastra is a multiple-choice model repository published by SinhalaMMLU-SharedTask on Hugging Face. A library was not reported.
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Model facts
- Task
- multiple-choice
- Library
- Not reported
- 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
- 2026-10-29T06:43:13.000Z
- Last modified
- 2026-10-29T06:44:50.000Z
Compatibility and lineage
Reported languages: si, en
Base-model lineage was not included.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-29T06:48:44.800Z. Daily imports are snapshots, not real-time monitoring.
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