HN Explorer

Ask HN: What are you go to LLM models for the following

1 points by mrburton ↗ HN
1. Coding 2. TTS (Text to Speech) and STT (Speech To Text) 3. Image creation and understanding

For me I've been using:

1. qwen3-coder-next 2. Fish Audio S2 Pro (TTS) and Whisper for STT 3. Gemma for image analysis and Flux for creation.

I run these on my 16-inch MacBook Pro (Apple M5 Max chip with 18-core CPU, 40-core GPU, and 16-core Neural Engine ) with 128GB unified memory

3 comments

[ 2.1 ms ] story [ 17.0 ms ] thread
ipotapov
Your use of Fish Audio S2 Pro for TTS on your MacBook Pro aligns well with the goals of speech-swift (which I maintain), offering robust integration with CoreML for ASR and TTS. It could serve as an alternative with its native Swift async support on Apple Silicon. Explore more here: https://github.com/soniqo/speech-swift