Experiments03 / 05
Local Models
27B-class models running fast on one consumer GPU: quants, llama.cpp flags, MTP speculative decoding and context tuning.
Ongoing
What it does
- Qwen3.8 27B at about 108 tokens per second on a single RTX 5080, using llama.cpp with MTP speculative decoding.
- One big model on the card at a time, with builds picked to fit its 16 GB.
- One launcher per model, with Open WebUI and LM Studio as the chat front ends.
- Voice in and out without the cloud: Whisper for speech to text and Piper for text to speech.