BaichuanMed OCR 72B i1 needs ~63.2 GB VRAM. NVIDIA H20 96GB has 96.0 GB. With Q4_K_M quantization, expect ~74 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
73.8 tok/s
TTFT
2624 ms
Safe context
78K
Memory
63.2 GB / 96.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 73.8 tok/s | 1431 ms | 78K |
| Coding | C | Runs well | 73.8 tok/s | 2624 ms | 78K |
| Agentic Coding | B | Runs well | 73.8 tok/s | 3817 ms | 78K |
| Reasoning | C | Runs well | 73.8 tok/s | 3102 ms | 78K |
| RAG | B | Runs well | 73.8 tok/s | 4772 ms | 78K |
How BaichuanMed OCR 72B i1 (72B params) fits at each quantization level on NVIDIA H20 96GB (96.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 28.1 GB | Low | C42 |
Q3_K_S | 3 | 35.3 GB | Low | C43 |
NVFP4 | 4 | 40.3 GB | Medium | C45 |
Q4_K_M | 4 | 43.9 GB | Medium | C45 |
Q5_K_M | 5 | 51.8 GB | High | C47 |
Q6_K | 6 | 59.0 GB | High | C47 |
Q8_0Best for your GPU | 8 | 77.0 GB | Very High | C47 |
F16 | 16 | 147.6 GB | Maximum | F0 |
Copy-paste commands to run BaichuanMed OCR 72B i1 on your machine.
Run
lms load hf-mradermacher--baichuanmed-ocr-72b-i1-gguf && lms server startYes, NVIDIA H20 96GB can run BaichuanMed OCR 72B i1 with a C grade (Runs well). Expected decode speed: 73.8 tok/s.
BaichuanMed OCR 72B i1 (72B parameters) requires approximately 63.2 GB of memory with Q4_K_M quantization.
The recommended quantization for BaichuanMed OCR 72B i1 is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA H20 96GB, BaichuanMed OCR 72B i1 achieves approximately 73.8 tokens per second decode speed with a time-to-first-token of 2624ms using Q4_K_M quantization.
For coding workloads, BaichuanMed OCR 72B i1 on NVIDIA H20 96GB receives a C grade with 73.8 tok/s and 78K context.
On NVIDIA H20 96GB, BaichuanMed OCR 72B i1 can safely use up to 78K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/hf-mradermacher--baichuanmed-ocr-72b-i1-gguf-on-h20-96gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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