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`Audio8-ASR-0.1B` is a compact autoregressive ASR model whose language-model component has only 0.1B parameters. It supports multilingual speech recognition for languages including Chinese, English, French, German, Japanese, Korean, and Cantonese. We position it as one of the smallest usable performance ASR models in the LLM era. This base repository provides the Hugging Face Transformers checkpoint. We also provide deployment-focused releases: - Audio8-ASR-0.1B-onnx-runtime - Audio8-ASR-0.1B-iOS-ANE

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**Audio8 ASR Infinite** is a native streaming speech recognition model built to be as responsive as possible. It offers a selectable audio clock (80/120/160 ms) and a transcription delay (240–560 ms). With our adapted vLLM build it transcribes unlimited-length audio **24/7** without drifting. - **Super responsive** — the native streaming architecture decodes 12.5 times per second. - **Unlimited-length transcription** — a rolling KV Cache keeps both **memory and latency constant**, even in **24/7 operation**. - **Selectable streaming clock** — one text token per clock step (12.5 / 8.3 / 6.25 decisions per second), balancing perception granularity and resource cost. - **Configurable transcription delay** — set how much delay to trade for accuracy. - **Semantic VAD** — distinguishes thinking pauses, stuttering and real end of turn, where traditional acoustic VAD usually fails. - **Bilingual** — Chinese and English. The checkpoint has a native context of 30 seconds. But with Rolling KV Cache, it can transcribe 24/7 nonstop.

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Audio8 TTS Preview supports multilingual speech generation and zero-shot voice cloning. This repository contains the complete checkpoint, its 44.1 kHz neural audio codec, tokenizer, processor, and Hugging Face remote code. > **Preview status:** Language coverage is intentionally limited in this > release. For the best results, use one of the 11 recommended languages below. > Broader multilingual coverage and Chinese dialect support are planned for > future releases. Cantonese  ·  Chinese  ·  Dutch  ·  English French  ·  German  ·  Italian  ·  Japanese Korean  ·  Polish  ·  Spanish

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**Edge0-35b-a3b** — a 35B MoE LLM that runs at viable speed in under **3 GiB of active memory**, via the edge0 streaming inference framework. > **Preview status:** this is an early preview release of the edge0 > pipeline. The checkpoint ships as int4 quantization plus LoRA and > prerouter adapters trained for this framework. **On 2026-09-30 we released the edge0 inference engines for four platforms — so users get the best inference experience across architectures and platforms. The source is open-sourced in the edge0 repo.**

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