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BaichuanMed OCR 72B i1 (72B parameters) requires approximately 54.2 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 63 GB of VRAM.
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No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 28.1 GB | Low | — |
Q3_K_S | 3 | 35.3 GB | Low | — |
NVFP4 | 4 | 40.3 GB | Medium | — |
Q4_K_M | 4 | 43.9 GB | Medium | — |
Q5_K_M | 5 | 51.8 GB | High | — |
Q6_K | 6 | 59.0 GB | High | — |
Q8_0 | 8 | 77.0 GB | Very High | — |
F16 | 16 | 147.6 GB | Maximum | — |
Hardware compatibility
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Memory breakdown
Frequently asked questions
BaichuanMed OCR 72B i1 (72B parameters) requires approximately 54.2 GB of VRAM with Q4_K_M quantization. Lower quantizations like Q4_K_M use less memory but may reduce quality.
Yes, MacBook Pro M3 Max 128GB can run BaichuanMed OCR 72B i1 with a compatibility score of 48/100. It provides 128 GB of memory and achieves approximately 5.5 tokens per second.
The recommended quantization for BaichuanMed OCR 72B i1 is Q4_K_M, which offers the best balance between model quality and memory efficiency. Higher quantizations preserve more quality but require more VRAM.
The top recommended hardware for BaichuanMed OCR 72B i1: NVIDIA H100 80GB (score: 55/100), NVIDIA GH200 96GB (score: 55/100), NVIDIA H20 96GB (score: 55/100). These provide the best combination of memory, bandwidth, and compute for running this model locally.
Yes, BaichuanMed OCR 72B i1 is well-suited for chat. It was designed with these use cases in mind.
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