A GitHub project called 'waste' by sqliteai demonstrates running the Kimi K3 large language model on just 29 GB of RAM, achieving inference at 0.50 tokens per second. This showcases significant optimization for running large models on consumer-grade hardware with limited memory.
Background
Kimi K3 is a large language model developed by Moonshot AI. Running LLMs efficiently on limited hardware has become an important area of research as models continue to grow in size.
- Source
- Hacker News (RSS)
- Published
- Jul 31, 2026 at 10:12 PM
- Score
- 7.0 / 10