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mkhasykov/qwen3.5-2b-wmt26-sorbian
qwen3.5-2b-wmt26-sorbian is a machine learning model from mkhasykov. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Primary submission model of team HeyBusan (OCELoT 123-127, constrained/open weights). Qwen3.5-2B, full-parameter fine-tune for the five shared-task tasks (MT de/hsb/dsb, QA, spell checking, grammar checking, maths rea…
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From the Hugging Face model README
Primary submission model of team HeyBusan (OCELoT #123-127, constrained/open weights). Qwen3.5-2B, full-parameter fine-tune for the five shared-task tasks (MT de/hsb/dsb, QA, spell checking, grammar checking, maths reasoning), merged 0.9/0.1 in weight space with the base model (the base admixture restores maths/QA ability lost to multitask SFT).
Live test scores: MT chrF 72.3 / QA 49.4 / SC 69.7 / GC 76.2 / MR 28.4.
Training data: official task data (MR dev excluded — PolyMath compliance), decontaminated WMT20-22 parallel corpora, FineWeb-2 hsb/dsb monolingual, public instruct mix, soblex-based synthetic SC/GC, STaR-verified German GSM8K-train chains. Decoding at submission: MT beam=4, SC/GC greedy, QA loglik-argmax, MR combined direct+translated self-consistency (16 samples/view @T0.7).
This repo always holds the team's current best model; earlier versions live in the git history. Contact: [email protected]