baichuan inc Baichuan M2 32B needs ~29.0 GB VRAM. Radeon Pro W7900 48GB has 48.0 GB. With Q4_K_M quantization, expect ~26 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
26.1 tok/s
TTFT
7413 ms
Safe context
97K
Memory
29.0 GB / 48.0 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 | 26.1 tok/s | 4044 ms | 97K |
| Coding | C | Runs well | 26.1 tok/s | 7413 ms | 97K |
| Agentic Coding | C | Runs well | 26.1 tok/s | 10783 ms | 97K |
| Reasoning | C | Runs well | 26.1 tok/s | 8761 ms | 97K |
| RAG | C | Runs well | 26.1 tok/s | 13479 ms | 97K |
How baichuan inc Baichuan M2 32B (32B params) fits at each quantization level on Radeon Pro W7900 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 12.5 GB | Low | C43 |
Q3_K_S | 3 | 15.7 GB | Low | C44 |
NVFP4 | 4 | 17.9 GB | Medium | C45 |
Q4_K_M | 4 | 19.5 GB | Medium | C46 |
Q5_K_M | 5 | 23.0 GB | High | C47 |
Q6_K | 6 | 26.2 GB | High | C48 |
Q8_0Best for your GPU | 8 | 34.2 GB | Very High | C47 |
F16 | 16 | 65.6 GB | Maximum | F0 |
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, Radeon Pro W7900 48GB can run baichuan inc Baichuan M2 32B with a C grade (Runs well). Expected decode speed: 26.1 tok/s.
baichuan inc Baichuan M2 32B (32B parameters) requires approximately 29.0 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 Radeon Pro W7900 48GB, baichuan inc Baichuan M2 32B achieves approximately 26.1 tokens per second decode speed with a time-to-first-token of 7413ms using Q4_K_M quantization.
For coding workloads, baichuan inc Baichuan M2 32B on Radeon Pro W7900 48GB receives a C grade with 26.1 tok/s and 97K context.
On Radeon Pro W7900 48GB, baichuan inc Baichuan M2 32B can safely use up to 97K 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-bartowski--baichuan-inc-baichuan-m2-32b-gguf-on-radeon-pro-w7900-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: