BaichuanMed OCR 72B i1 needs ~72.8 GB VRAM. NVIDIA GB200 192GB has 192.0 GB. With Q4_K_M quantization, expect ~153 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
153.0 tok/s
TTFT
1265 ms
Safe context
242K
Memory
72.8 GB / 192.0 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 | 153.0 tok/s | 690 ms | 242K |
| Coding | C | Runs well | 153.0 tok/s | 1265 ms | 242K |
| Agentic Coding | C | Runs well | 153.0 tok/s | 1840 ms | 242K |
| Reasoning | C | Runs well | 153.0 tok/s | 1495 ms | 242K |
| RAG | C | Runs well | 153.0 tok/s | 2301 ms | 242K |
How BaichuanMed OCR 72B i1 (72B params) fits at each quantization level on NVIDIA GB200 192GB (192.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 28.1 GB | Low | D38 |
Q3_K_S | 3 | 35.3 GB | Low | D39 |
NVFP4 | 4 | 40.3 GB | Medium | D39 |
Q4_K_M | 4 | 43.9 GB | Medium | D40 |
Q5_K_M | 5 | 51.8 GB | High | C41 |
Q6_K | 6 | 59.0 GB | High | C42 |
Q8_0 | 8 | 77.0 GB | Very High | C44 |
F16Best for your GPU | 16 | 147.6 GB | Maximum | C47 |
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 GB200 192GB can run BaichuanMed OCR 72B i1 with a C grade (Runs well). Expected decode speed: 153.0 tok/s.
BaichuanMed OCR 72B i1 (72B parameters) requires approximately 72.8 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 GB200 192GB, BaichuanMed OCR 72B i1 achieves approximately 153.0 tokens per second decode speed with a time-to-first-token of 1265ms using Q4_K_M quantization.
For coding workloads, BaichuanMed OCR 72B i1 on NVIDIA GB200 192GB receives a C grade with 153.0 tok/s and 242K context.
On NVIDIA GB200 192GB, BaichuanMed OCR 72B i1 can safely use up to 242K 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-gb200-192gb" 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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