[HN Gopher] Show HN: Moonshine Open-Weights STT models - higher ...
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       Show HN: Moonshine Open-Weights STT models - higher accuracy than
       WhisperLargev3
        
       I wanted to share our new speech to text model, and the library to
       use them effectively. We're a small startup (six people, sub-$100k
       monthly GPU budget) so I'm proud of the work the team has done to
       create streaming STT models with lower word-error rates than
       OpenAI's largest Whisper model. Admittedly Large v3 is a couple of
       years old, but we're near the top the HF OpenASR leaderboard, even
       up against Nvidia's Parakeet family. Anyway, I'd love to get
       feedback on the models and software, and hear about what people
       might build with it.
        
       Author : petewarden
       Score  : 24 points
       Date   : 2026-02-24 21:54 UTC (1 hours ago)
        
 (HTM) web link (github.com)
 (TXT) w3m dump (github.com)
        
       | cyanydeez wrote:
       | No LICENSE no go
        
         | bangaladore wrote:
         | There is a license blurb in the readme.
         | 
         | > This code, apart from the source in core/third-party, is
         | licensed under the MIT License, see LICENSE in this repository.
         | 
         | > The English-language models are also released under the MIT
         | License. Models for other languages are released under the
         | Moonshine Community License, which is a non-commercial license.
         | 
         | > The code in core/third-party is licensed according to the
         | terms of the open source projects it originates from, with
         | details in a LICENSE file in each subfolder.
        
         | altruios wrote:
         | reading through readme.md "License This code, apart from the
         | source in core/third-party, is licensed under the MIT License,
         | see LICENSE in this repository.
         | 
         | The English-language models are also released under the MIT
         | License. Models for other languages are released under the
         | Moonshine Community License, which is a non-commercial license.
         | 
         | The code in core/third-party is licensed according to the terms
         | of the open source projects it originates from, with details in
         | a LICENSE file in each subfolder."
        
       | lostmsu wrote:
       | [delayed]
        
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       (page generated 2026-02-24 23:00 UTC)