Qwen3 ASR 0.6B
PulseGate's liveness check found it on 14 Sep 2026; it is registered on Hugging Face and has been in the index since 28 Jul 2026. How this is checked
Qwen3-ASR-0.6B-8bit is a quantized version of a Qwen-based automatic speech recognition model hosted on Hugging Face. It is designed for efficient local inference using the MLX framework on Apple hardware. The model accepts audio input and produces transcribed text, making it suitable for on-device or offline ASR applications.
Inferred · not functionally tested
Overview
3 featuresPurpose: Running efficient automatic speech recognition models locally on Apple silicon hardware.
Inferred · not functionally tested
Audience: developers
Inferred · not functionally tested
Functions: speech_to_text
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown
Recorded constraints: pricing: open_source · license: Open Source · platforms: CLI, WEB · deployment: browser, cli, api_only
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: huggingface.co. These links do not verify the individual claims.
Qwen3 ASR 0.6B is a Speech to text project. Inferred · not functionally tested: It focuses on running efficient automatic speech recognition models locally on Apple silicon hardware. Inferred · not functionally tested: Qwen3 ASR 0.6B is an open-source project aimed at developers. Basis unknown · not verified: Qwen3 ASR 0.6B is open source under the Open Source license. Basis unknown · not verified: Qwen3 ASR 0.6B is available on the web, the command line, and API.
mlx-community builds and maintains Qwen3 ASR 0.6B. PulseGate's similarity index places it among 15 comparable projects. Inferred · not functionally tested: Among its 3 catalogued features are Speech Recognition, 8-bit Quantization, and MLX Optimized.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Speech Recognition
- 8-bit Quantization
- MLX Optimized
Topics: Inferred · not functionally tested
Built with & integrations
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
- local_oss
- studio in the HTML
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed28 Jul · 10:47 UTCmlx-community/Qwen3-ASR-0.6B-8bit seen via Hugging Face EnumeratorSource: Hugging Face Enumerator · Open
Frequently asked questions about Qwen3 ASR 0.6B
- What does Qwen3 ASR 0.6B do?
- Inferred · not functionally tested: Qwen3 ASR 0.6B focuses on running efficient automatic speech recognition models locally on Apple silicon hardware. It is catalogued under Speech to text on PulseGate.
- Who should use Qwen3 ASR 0.6B?
- Inferred · not functionally tested: Qwen3 ASR 0.6B is an open-source project built for developers.
- Does Qwen3 ASR 0.6B have a free plan?
- Basis unknown · not verified: Yes — Qwen3 ASR 0.6B is open source under the Open Source license and free to use.
- What platforms does Qwen3 ASR 0.6B run on?
- Basis unknown · not verified: Qwen3 ASR 0.6B runs on the web, the command line, and API.
- Is Qwen3 ASR 0.6B still active?
- PulseGate's liveness check found it on 14 Sep 2026.
- What are alternatives to Qwen3 ASR 0.6B?
- Similar projects tracked by PulseGate include Qwen3 ASR 0.6B, Qwen3 ASR 0.6B, and Qwen3 ASR 0.6B Hf.Qwen3 ASR 0.6BQwen3 ASR 0.6BQwen3 ASR 0.6B Hf
- Who makes Qwen3 ASR 0.6B?
- Qwen3 ASR 0.6B is developed by mlx-community.
- Is Qwen3 ASR 0.6B open source?
- Basis unknown · not verified: Yes — Qwen3 ASR 0.6B is open source under the Open Source license.
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