baichuan inc Baichuan M2 32B needs ~53.0 GB VRAM. AMD Instinct MI350X 288GB has 288.0 GB. With Q4_K_M quantization, expect ~299 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
299.2 tok/s
TTFT
647 ms
Safe context
1.0M
Memory
53.0 GB / 288.0 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 | 299.2 tok/s | 353 ms | 1.0M |
| Coding | C | Runs well | 299.2 tok/s | 647 ms | 1.0M |
| Agentic Coding | C | Runs well | 299.2 tok/s | 941 ms | 1.0M |
| Reasoning | C | Runs well | 299.2 tok/s | 765 ms | 1.0M |
| RAG | C | Runs well | 299.2 tok/s | 1177 ms | 1.0M |
How baichuan inc Baichuan M2 32B (32B params) fits at each quantization level on AMD Instinct MI350X 288GB (288.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 12.5 GB | Low | D36 |
Q3_K_S | 3 | 15.7 GB | Low | D36 |
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, AMD Instinct MI350X 288GB can run baichuan inc Baichuan M2 32B with a C grade (Runs well). Expected decode speed: 299.2 tok/s.
baichuan inc Baichuan M2 32B (32B parameters) requires approximately 53.0 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 AMD Instinct MI350X 288GB, baichuan inc Baichuan M2 32B achieves approximately 299.2 tokens per second decode speed with a time-to-first-token of 647ms using Q4_K_M quantization.
For coding workloads, baichuan inc Baichuan M2 32B on AMD Instinct MI350X 288GB receives a C grade with 299.2 tok/s and 1.0M context.
On AMD Instinct MI350X 288GB, baichuan inc Baichuan M2 32B can safely use up to 1.0M 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-instinct-mi350x-288gb" 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 |
| D36 |
Q4_K_M | 4 | 19.5 GB | Medium | D36 |
Q5_K_M | 5 | 23.0 GB | High | D36 |
Q6_K | 6 | 26.2 GB | High | D37 |
Q8_0 | 8 | 34.2 GB | Very High | D37 |
F16Best for your GPU | 16 | 65.6 GB | Maximum | D40 |