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@@ -35,6 +35,9 @@ output in …"). Prompts must follow the VoxSumDroid templates the model was tra
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  ## Training
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  Distilled from Qwen3.5-9B over 3,891 meetings (QMSum, MeetingBank, DialogSum,
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  VCSum→OpenCC s2twp; 60k filtered prompt/completion pairs), full-parameter SFT,
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  seq 32768 packed, 2 epochs. Details + eval: training repo `eval/REPORT.md`.
@@ -44,9 +47,10 @@ seq 32768 packed, 2 epochs. Details + eval: training repo `eval/REPORT.md`.
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  | metric | base | fine-tune |
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  |---|---|---|
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  | cross-lingual output-language compliance | 0.38 | **0.98** |
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- | action items coverage (1-5) | 1.90 | **3.44** |
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- | open questions faith / cover | 3.96 / 2.90 | **4.48 / 3.96** |
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- | known limit: en→zh-TW hour-long faithfulness | 3.73* | 2.29 |
 
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  \* base scores "faithful" largely by *not translating* (wrong language 62% of the time).
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@@ -54,7 +58,8 @@ seq 32768 packed, 2 epochs. Details + eval: training repo `eval/REPORT.md`.
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  ## Files
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- - `voxsum-qwen3-0.6b_q8_ekv32768.litertlm` — 664MB, kv 32768
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- sha256 `5fa8e11fd9955c39512a25a24c686f42483ebb7059ba30f1d3c218bacdcd5b98`
 
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  RAM note: full 32k KV ≈ 3-3.7GB fp16 on-device — cap `nCtx` lower on small devices.
 
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  ## Training
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+ v2 (2026-07-30) adds the single-call structured NOTES task (TITLE/SUMMARY/DECISIONS/
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+ ACTIONS/OPEN/TOPICS — see docs/OUTPUT-FORMAT.md).
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+
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  Distilled from Qwen3.5-9B over 3,891 meetings (QMSum, MeetingBank, DialogSum,
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  VCSum→OpenCC s2twp; 60k filtered prompt/completion pairs), full-parameter SFT,
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  seq 32768 packed, 2 epochs. Details + eval: training repo `eval/REPORT.md`.
 
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  | metric | base | fine-tune |
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  |---|---|---|
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  | cross-lingual output-language compliance | 0.38 | **0.98** |
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+ | action items coverage (1-5) | 1.90 | **3.94** |
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+ | open questions faith / cover | 3.96 / 2.90 | **4.42 / 4.10** |
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+ | structured NOTES format compliance (native / cross) | n/a | **1.00 / 0.94** |
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+ | known limit: en→zh-TW hour-long faithfulness | 3.73* | ~2.5 |
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  \* base scores "faithful" largely by *not translating* (wrong language 62% of the time).
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  ## Files
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+ - `voxsum-qwen3-0.6b_q8_ekv32768.litertlm` — 664MB, kv 32768 (v2)
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+ sha256 `660436ac918f61f7fddffc419abf561b396585d115382efb8247814ac9382b9a`
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+ - `checkpoint/` — HF-format safetensors of the same fine-tune (for reuse / reconversion)
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  RAM note: full 32k KV ≈ 3-3.7GB fp16 on-device — cap `nCtx` lower on small devices.