Colibri-based runner brings Kimi K3 GGUFs to workstation-class hardware
Responsible_Fig_1271 · reddit · 2026-07-29
A Reddit post introduces llama-kimibri, a Colibri-based inference runner for Kimi K3 Unsloth GGUFs aimed at workstation-class machines.
What it does
- Auto-detects multiple GPUs.
- Treats VRAM + RAM + SSD as a shared memory pool.
- Prioritizes weight allocation to squeeze out as much performance as possible.
- Supports single-slot local serving so it can be used with a web UI.
Why it matters
The project is a practical example of local model serving on non-datacenter hardware: disk-backed weight streaming, multi-GPU awareness, and a simple local serving path for large quantized models.
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