Reddit user UkieTechie has revamped their TTS benchmark platform with objective scoring standards and live blind voting, now covering 46 speech synthesis models. Hosted on Hugging Face Space, the arena lets users vote on audio quality without knowing the model name, generating a dynamic ELO leaderboard. The project is open-source on GitHub and welcomes community submissions of new models.
The post describes turning an unused Jetson Orin NX into a compact local LLM server for Hermes Agent testing. The goals were low noise, over 10 tok/s generation, 300 tok/s prompt processing, at least 65K context, and a custom case. After testing Gemma 4, Qwen 3.6, and many quant variants, the author reports Gemma 4 26B A4B UD Q2_K_XL reaching 66K context and 10.21 tok/s near 60K context.
Omi Health’s founder says he fine-tuned NVIDIA Parakeet TDT 0.6B v2 for clinical speech and released Omi Med STT v1 under CC-BY-4.0. The runtime supports Mac, Windows, and Linux, auto-selecting MLX, NeMo, or GGUF/parakeet.cpp backends. In the author’s held-out medical benchmark, it reports 2.37% medical-WER and 145× realtime on local A10 compute.
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