MiroThinker-1.7-mini Q3_K_M GGUF

This repository contains a Q3_K_M GGUF quantization of miromind-ai/MiroThinker-1.7-mini.

Files

• MiroThinker-1.7-mini.Q3_K_M.gguf

Quantization details

• Quantization: Q3_K_M
• Quantized with: Unsloth + llama.cpp
• GGUF size: 14.71 GB (13.70 GiB)
• Source model license: apache-2.0

Recommended use

This quant is aimed at fitting a 16 GB GPU while keeping better quality than lower-bit options. In local testing, it loaded successfully with llama.cpp on an AMD Radeon RX 9060 XT through the Vulkan backend.

llama.cpp example

llama-cli \
  -m MiroThinker-1.7-mini.Q3_K_M.gguf \
  --device Vulkan1 \
  -ngl 999 \
  -c 128

If VRAM is tight on your setup, reduce context length first, then reduce GPU offload.

Notes

• This repo contains only the GGUF quantized artifact, not the original safetensors weights.
• The upstream MiroThinker model itself can document deeper lineage separately.