Open 4B and 32B speech decision models that answer typed questions about raw audio (end of turn, intent, emotion) in one pass, served with vLLM, with Pipecat and LiveKit plugins.
View on GitHub →We haven't reviewed this project hands-on yet. The description above is our own summary of its README. Numbers it reports are the author's, not ours.
NandhaKishorM/laya
Non-autoregressive decision engine over 100+ languages: three checkpoints and a router that detects the script and dispatches per request. Its benchmarks end with a limits section naming the datasets it does not generalise to and the headline figure that came from a training split.
jaredpalmer/kev
Jev-style decision models from 0.5B to 8B, built as LoRA adapters on Qwen and served behind a Jev-compatible /v1/systemone API.
TheoLeeCJ/SemIf-OpenJev
Jev-style decisions from a frozen 4B model on a single RTX 3090, with a browser demo. Formerly OpenJev.
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