baichuan inc Baichuan M2 32B needs ~34.1 GB VRAM. RTX PRO 6000 Blackwell Workstation Edition 96GB has 96.0 GB. With Q4_K_M quantization, expect ~77 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
77.1 tok/s
TTFT
2511 ms
Safe context
280K
Memory
34.1 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 | 77.1 tok/s | 1369 ms | 280K |
| Coding | C | Runs well | 77.1 tok/s | 2511 ms | 280K |
| Agentic Coding | C | Runs well | 77.1 tok/s | 3652 ms | 280K |
| Reasoning | C | Runs well | 77.1 tok/s | 2967 ms | 280K |
| RAG | C | Runs well | 77.1 tok/s | 4565 ms | 280K |
How baichuan inc Baichuan M2 32B (32B params) fits at each quantization level on RTX PRO 6000 Blackwell Workstation Edition 96GB (96.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 12.5 GB | Low | D39 |
Q3_K_S | 3 | 15.7 GB | Low | D40 |
NVFP4 | 4 |
Copy-paste commands to run baichuan inc Baichuan M2 32B on your machine.
Run
lms load hf-bartowski--baichuan-inc-baichuan-m2-32b-gguf && lms server startYes, RTX PRO 6000 Blackwell Workstation Edition 96GB can run baichuan inc Baichuan M2 32B with a C grade (Runs well). Expected decode speed: 77.1 tok/s.
baichuan inc Baichuan M2 32B (32B parameters) requires approximately 34.1 GB of memory with Q4_K_M quantization.
The recommended quantization for baichuan inc Baichuan M2 32B is Q4_K_M, which balances quality and memory efficiency.
On RTX PRO 6000 Blackwell Workstation Edition 96GB, baichuan inc Baichuan M2 32B achieves approximately 77.1 tokens per second decode speed with a time-to-first-token of 2511ms using Q4_K_M quantization.
For coding workloads, baichuan inc Baichuan M2 32B on RTX PRO 6000 Blackwell Workstation Edition 96GB receives a C grade with 77.1 tok/s and 280K context.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/hf-bartowski--baichuan-inc-baichuan-m2-32b-gguf-on-rtx-pro-6000-blackwell-96gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
17.9 GB |
| Medium |
| D40 |
Q4_K_M | 4 | 19.5 GB | Medium | C40 |
Q5_K_M | 5 | 23.0 GB | High | C41 |
Q6_K | 6 | 26.2 GB | High | C41 |
Q8_0 | 8 | 34.2 GB | Very High | C43 |
F16Best for your GPU | 16 | 65.6 GB | Maximum | C47 |
On RTX PRO 6000 Blackwell Workstation Edition 96GB, baichuan inc Baichuan M2 32B can safely use up to 280K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.