Tinkering with Local Quantized K3 Inference on Mac Hardware
Developers are exploring local inference for the massive K3 weights, finding that while streaming 1.6TB on an M5 Max is slow, running Q2 quantization across two 512GB Mac Studios achieves acceptable chat speeds.
2026-07-29 ~ 2026-07-29 · 2 related posts
- Episode 1: vLLM brings day-0 support to Moonshot’s Kimi K3(2026-07-27, 11 posts)
- Episode 2: Kimi K3 Now Available for Inference and Fine-Tuning on Fireworks(2026-07-28, 2 posts)
- Episode 3: Kimi K3 2.8T-Parameter Model Runs on 80 RTX 5090s with Zero HBM(2026-07-28, 8 posts)
- Episode 4: Kimi K3 Open-Weight Release Sparks Debate on Open Source and Infrastructure(2026-07-28, 5 posts)
- Episode 5: Kimi K3 Self-Hosting Can Break Even in Under 100 Days(2026-07-28, 4 posts)
- Episode 6: Tinkering with Local Quantized K3 Inference on Mac Hardware(2026-07-29, 2 posts)
- Episode 7: Kimi K3 Open Weights Demand Data Center Hardware(2026-07-29, 3 posts)
- Episode 8: vLLM Hits 464 tok/s on Kimi K3 with 4 GB300 Systems(2026-07-29, 2 posts)
- Episode 9: Kimi K3 Gets Day-0 vLLM and AMD Support Across Clouds(2026-07-30, 14 posts)
- Streaming 1.6TB of K3 weights on an M5 Max 128GB is still slow — antirez · 2026-07-29
- Two 512GB Mac Studios can run Q2 chat, and K3 may quantize well — antirez · 2026-07-29