Biggest, baddest model to fill 144GB VRAM + 120GB RAM to the brim, regardless of speed
I'm trying to round out my quiver of daily driver models for my personal harness. Right now I drive qwen3.6 27b for balanced code and gemma4 31b for human interaction with lots of context and a few parallel sessions. Minimax M2.7 at Q6 clocks in at 207gb base and just barely fits
Why it matters
This story from Reddit r/LocalLLaMA is relevant to the Open Source branch of the AI ecosystem and may affect models, products, or research direction.
Technical breakdown
I'm trying to round out my quiver of daily driver models for my personal harness. Right now I drive qwen3.6 27b for balanced code and gemma4 31b for human interaction with lots of context and a few parallel sessions. Minimax M2.7 at Q6 clocks in at 207gb base and just barely fits once I get KV cache and context down for when I have a "take all day to answer; just be right" problem. I'm d
Business impact
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