Best LLM for logic/ spatial reasoning on small context inputs?

Reddit r/LocalLLaMA / 4/16/2026

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Key Points

The post asks for a small, locally runnable LLM that can handle logic and spatial reasoning for a 2D grid-based procedural text-adventure game.
The requester describes a setup with 32GB RAM and 8GB VRAM and notes that DeepSeek-R1-Distill-Qwen-7B-Q6_K_L.gguf performed poorly, hallucinating and ignoring the grid constraints.
The target task involves feeding the model a 10x10 board state plus a constrained action list (up to 50 valid actions), emphasizing strict adherence to spatial structure.
The user is specifically seeking model suggestions that fit within the available memory while improving “spatial IQ” and reducing grid-violation behavior.

My system has 32gb RAM and 8gb VRAM. I tried out DeepSeek-R1-Distill-Qwen-7B-Q6_K_L.gguf and it was vastly inadequate for what I wanted so looking for other suggestions.

I'm working on a procedural text-adventure engine where the world is a strict 2D coordinate grid. The model receives a board state (10x10) and a list of valid actions (up to 50). I’ve found that the 7B model I tried failed at 'spatial IQ' and kept hallucinating and trying to ignore the grid layout. Looking for a split model I can keep under 32gb to retain some system memory.

submitted by /u/clambarlambar
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