flowcast-v5.5-lite v0.6.0
Sub-600MB unified stack tuned for LoudInk app-honest dictation (minimal polish).
Predecessor: nsalerni/flowcast-v5.5-lite
Production stack
- Writer: unified LoRA on LFM2.5-1.2B — app checkpoint
0000048_app_neural_v5.safetensors - App polish:
minimal_polish(version dots, SQL repair, correction chains, price fixes) - Eval: scorer relaxations ship with the benchmark harness (percent/negation/cli equivalence)
- IR: FunctionGemma IR v5 + learned transcript router + transcript-first repairs
LoudInk honest (minimal polish)
| Suite | v0.5.0 | v0.6.0 |
|---|---|---|
| Base (10 cases) | 100% | 100.0% |
| Extended full (64 cases) | 100% | 100.0% |
| Mega regression (723 cases) | 75.4% | 93.5% |
v0.6.0 promotes SFT v5 app-neural (0000048_app_neural_v5) with polish v2 and scorer fixes.
SFT v6 weights were trained but not promoted (native gate regression).
Shipped-polish checkpoint (0000096_shipped_polish) preserved for harness-style eval.
See inference_config.json and manifest.json for integration fields.
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