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voxcpm2-GGUF

Historical T4 Vulkan component measurements found CFM per audio step of 70.2 ms for Q8_0 versus 59.4 ms for the mixed recipe at ten steps. An eight-step run measured 46.7 ms. These component timings do **not** establish speech quality or an accepted end-to-end speedup. The mixed file was built with `crispasr-quantize voxcpm2-f16.gguf out.gguf q8_0 --tensor-type "^locdit\.=f16"`. A previous CPU synthesis roundtrip is not GPU acceptance. **Validation update, 2026-10-09:** matched real T4 tests at ten steps and seed 2 produced repeated tokens in the **Nemotron ASR transcripts** of the short test sentence for both Q8_0 and the mixed recipe. Six of sixteen exact primary ASR cases passed. This rejected gate is not proof that synthesized audio audibly stutters: a later fixed-audio comparison found **both Parakeet and Qwen3 transcribe every one of 22 original Python/native CPU/GPU controls exactly** across three resampling paths, while Nemotron retains errors. Resampling alone does not resolve the discrepancy. The completed original NVIDIA float32 and native F16 comparison reads **all 22 VoxCPM2 controls correctly**; native Q4 reads only 8/22. Original and F16 normalized words agree on all 26 tested clips, and fresh/reused sessions agree. The repeated tokens are therefore attributable to the native Nemotron Q4 recognizer on these fixed controls. Critical RNNT precision guards are being tested before changing that quant or its defaults. The published Q4 primary gate remains rejected while that recognizer is repaired. This diagnosis does not certify eight steps, Intel B390 performance, or complete original/native waveform parity. Defaults remain ten steps. Original NVIDIA/F16/Q4 inputs, features, encoder states and complete transcripts (SHA256 `7762f2a73d8ae7dad05d667fbf0bca393a0b3b7ad622b1b1f09473fa8f5d0463`).

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Historical T4 Vulkan component measurements found CFM per audio step of 70.2 ms for Q8_0 versus 59.4 ms for the mixed recipe at ten steps. An eight-step run measured 46.7 ms. These component timings do **not** establish speech quality or an accepted end-to-end speedup. The mixed file was built with `crispasr-quantize voxcpm2-f16.gguf out.gguf q8_0 --tensor-type "^locdit\.=f16"`. A previous CPU synthesis roundtrip is not GPU acceptance. **Validation update, 2026-10-09:** matched real T4 tests at ten steps and seed 2 produced repeated tokens in the **Nemotron ASR transcripts** of the short test sentence for both Q8_0 and the mixed recipe. Six of sixteen exact primary ASR cases passed. This rejected gate is not proof that synthesized audio audibly stutters: a later fixed-audio comparison found **both Parakeet and Qwen3 transcribe every one of 22 original Python/native CPU/GPU controls exactly** across three resampling paths, while Nemotron retains errors. Resampling alone does not resolve the discrepancy. The completed original NVIDIA float32 and native F16 comparison reads **all 22 VoxCPM2 controls correctly**; native Q4 reads only 8/22. Original and F16 normalized words agree on all 26 tested clips, and fresh/reused sessions agree. The repeated tokens are therefore attributable to the native Nemotron Q4 recognizer on these fixed controls. Critical RNNT precision guards are being tested before changing that quant or its defaults. The published Q4 primary gate remains rejected while that recognizer is repaired. This diagnosis does not certify eight steps, Intel B390 performance, or complete original/native waveform parity. Defaults remain ten steps. Original NVIDIA/F16/Q4 inputs, features, encoder states and complete transcripts (SHA256 `7762f2a73d8ae7dad05d667fbf0bca393a0b3b7ad622b1b1f09473fa8f5d0463`).

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