Unverified50% confidenceFactExact time
Using the space freed up by speech quantization, the developer raised the context from 32K to 100K and added MTP (for accelerated tool-call prediction) and a vision encoder.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/29/2026
First Seen
Valid until: 1/27/2027
Sources
Related Entities
Related Claims
UnverifiedStrata integrates MTP speculative decoding to improve generation speed, with its decoder weights weighing approximately 0.71 GB (Q2 two-bit quantization).68% similarUnverifiedThe final firmware for the Voice Polaroid project reached 813 KB, occupying 24% of the partition space.68% similarUnverifiedThe scale of 31M parameters and 64 MB means the vocoder and embedding tables have been significantly compressed, possibly using parameter quantization (such as int8), knowledge distillation or a lightweight vocoder approach.66% similarUnverifiedBy compressing the context from 128K to 32K, the developer brought total VRAM usage (including Whisper) below 12GB, but in the first version's experience it takes about 10 to 11 seconds from when the user finishes speaking to when the AI starts speaking.64% similarUnverifiedThrough the AudioWorklet interface, developers can write custom DSP algorithms that run on a dedicated audio thread, achieving processing latency as low as 128 sample frames (approximately 2.9 milliseconds at 44.1kHz)64% similar
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