LMSYStransformer

Vicuna 33B

33B parameters • 20.1GB VRAM (Q4 estimate) • 2,048 context

Estimate · Q4_K_M · 4k context · batch 1. For dense 7B–70B this sits ~5–8% above the Q4_K_M GGUF file. Not peak runtime VRAM and not a measured bench.

Specifications

Parameters

33B

VRAM (Q4 est.)

20.1 GB

VRAM (FP16)

66 GB

Context Window

2,048

Architecture

transformer

License

Apache-2.0

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Run Vicuna 33B on Mac Mini M4 Pro 24GB

~20.1GB VRAM needed at Q4. Mac Mini M4 Pro 24GB has 24GB — buy hardware or rent cloud.

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Run Vicuna 33B on...

GB200 NVL72✅ Fits Lambda Labs 1-Click Cluster (8x H100)✅ Fits Google Cloud A3 (8x H100)✅ Fits Azure ND H100 v5 (8x H100)✅ Fits AWS EC2 P5 Instance (8x H100)✅ Fits NVIDIA DGX H100✅ Fits

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LMSYStransformer

Vicuna 33B

33B parameters • 20.1GB VRAM (Q4 estimate) • 2,048 context

Estimate · Q4_K_M · 4k context · batch 1. For dense 7B–70B this sits ~5–8% above the Q4_K_M GGUF file. Not peak runtime VRAM and not a measured bench.