VRAM Calculator
Pick your GPU or Mac and what you use models for. Every open-weight model the site knows is sized for your hardware, graded on fit, given a speed estimate from its memory bandwidth, and ranked by how well it matches the job. A Mac is graded against the memory macOS lets its GPU use, not all of it. Where community benchmarks exist on the same card, the measured number replaces the estimate.
On the NVIDIA V100 32GB: Top match: Qwen3.5 13B at Q8_0, Perfect fit. About 38.1 t/s (estimated). As of 26 Oct 2026.
32 GB VRAM·32 GB system RAM·900 GB/s·125 TFLOPS fp16
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Nobody has reported Qwen3.5 13B on the NVIDIA V100 32GB yet.
Memory assumes an F16 KV cache at 32k context; Perfect is under 60% of the pool, Good under 85%, Marginal under 98%. Offload paths cap at Good. Speed is the memory bandwidth divided by the bytes read per token, at 55% efficiency (llmfit's generic figure); a community median at the same quant replaces it. Click a row for the breakdown.
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