QwenAudio / SenseVoice
Open-source SenseVoiceSmall model for Mandarin, Cantonese, English, Japanese, and Korean ASR, language ID, emotion recognition, and audio event detection.
QwenAudio / SenseVoice
prabanta-dev / janas
37 tok/s from Qwen3-Next-80B (48 GB) on a 32 GB laptop, 24 without drafts vs 2.8 for llama.cpp; reading 62 vs 16 tok/s. Faster than llama.cpp on all 13 models compared in Q4_K_M. LLMs bigger than your RAM, pure C, CPU or GPU.
QwenAudio / Fun-ASR
Fun-ASR speech recognition models, with native Hugging Face Transformers support for Fun-ASR-Nano and separate FunASR, vLLM and llama.cpp deployment paths.
antirez / qwen-asr
C inference for Qwen3-ASR 0.6b and 1.7b transcriptions models
microsoft / Tutel
Tutel MoE: Optimized Mixture-of-Experts Library, Support GLM/Kimi/Gpt/DeepSeek/Qwen using FP8/NVFP4/MXFP4
samyeei / Muse-charm-mosaico
An ESP-S31-Mosaico voice AI companion based on the Muse Gadget SDK, featuring push-to-talk interaction, Qwen text-to-speech, eight dynamic character modes, bilingual Chinese-English UI, mobile Wi-Fi setup, and Muse-generated characters.基于 Muse Gadget SDK 的 ESP-Mosaico 语音 AI 伙伴，支持按键对话、千问朗读、八种角色动态、中英文界面、手机 Wi-Fi 配置与 Muse 生成角色。