6b Streaming 1120ms Fp16 is an English-language automatic speech recognition (ASR) model available on Hugging Face. Below are 6 other ai apps with similar functionality to 6b Streaming 1120ms Fp16, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
This model provides open-source, streaming automatic speech recognition for English, optimized for ONNX and NeMo frameworks. It is intended for developers building real-time speech recognition applications.
nemotron-speech-streaming-en-0.6b-coreml is an open-source speech recognition model converted to CoreML for real-time streaming ASR on Apple devices. It is designed for developers who need efficient, on-device speech-to-text capabilities in their applications.
nemotron-3.5-asr-streaming-0.6b is an open-source, multilingual automatic speech recognition model optimized for streaming scenarios. It supports real-time transcription and can be integrated via CLI or API for speech-to-text applications.
nemotron-3.5-asr-streaming-0.6b-gguf is an open-source automatic speech recognition (ASR) model supporting 28 languages. It enables developers to transcribe audio streams into text efficiently, with support for streaming and cache-aware inference. Ideal for building multilingual speech-to-text solutions.
nemotron-3.5-asr-streaming-0.6b is an open-source automatic speech recognition model designed for real-time streaming audio transcription. It supports multilingual input and is suitable for developers and researchers building ASR solutions.
Nemotron 3.5 ASR Streaming 0.6B GGUF is a quantized version of NVIDIA's Nemotron 3.5 automatic speech recognition (ASR) streaming model, packaged in the GGUF format for use with the Vibe app. The model features a 0.6 billion parameter architecture and is designed for automatic speech recognition tasks. According to the evidence, Vibe utilizes this model in conjunction with a Silero voice activity detection (VAD) model to enable bounded, long-form transcription. The quantized build provided is specifically identified as Q4_K_M, with a model size of 496 MB and 4-bit quantization. The model is intended for users who require ASR capabilities within the Vibe app ecosystem, particularly for scenarios involving long-form or continuous audio transcription. The evidence also notes that the upstream base model is nvidia/nemotron-3.5-asr-streaming-0.6b, and users are directed to review its model card and OpenMDW 1.1 license before use. However, there is no further detail about licensing terms or pricing in the provided evidence. The tool is not currently deployed by any inference provider as per the available information. Delivery of the model is via the GGUF format, which is compatible with the Vibe app and potentially other systems that support this format. The evidence does not elaborate on standalone usage, supported platforms beyond Vibe, or integration options outside the stated context. There is no information about additional features, supported languages, or user roles beyond its use for ASR within the Vibe app. Overall, Nemotron 3.5 ASR Streaming 0.6B GGUF is positioned as a quantized ASR model for streaming transcription, primarily intended for use by the Vibe app in combination with a VAD model for handling long-form audio. Further technical details or broader applicability are not addressed in the provided evidence.
