Benchmarks1y ago
Qwen3 - GAIA
GAIA score 44.2 from WA0824
View sourceQwen
Novel and strong forced alignment Solution: We introduce Qwen3-ForcedAligner-0.6B, which supports timestamp prediction for arbitrary units within up to 5 minutes of speech in 11 languages. Evaluations show its timestamp accuracy surpasses E2E based forced-alignment models.
Running this yourself: can likely run on your own machine.
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43.6
Quality Score
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Arena ELO
918M
Parameters
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Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
16 of 22 public signals
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Jan 2026
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3/4 signals
Parameters
918M
Training compute
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GAIA score 44.2 from WA0824
View sourceQwen3-ForcedAligner-0.6B is now available through local Ollama runtime. 40K context window listed. Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.
Qwen3-ForcedAligner-0.6B is now available through local Ollama runtime. 40K context window listed. Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.