Baichuan M2 32B Q4 K M needs ~49.8 GB VRAM. AMD Instinct MI325X 256GB has 256.0 GB. With Q4_K_M quantization, expect ~224 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
224.4 tok/s
TTFT
863 ms
Safe context
896K
Memory
49.8 GB / 256.0 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 | 224.4 tok/s | 471 ms | 896K |
| Coding | C | Runs well | 224.4 tok/s | 863 ms | 896K |
| Agentic Coding | C | Runs well | 224.4 tok/s | 1255 ms | 896K |
| Reasoning | C | Runs well | 224.4 tok/s | 1020 ms | 896K |
| RAG | C | Runs well | 224.4 tok/s | 1569 ms | 896K |
How Baichuan M2 32B Q4 K M (32B params) fits at each quantization level on AMD Instinct MI325X 256GB (256.0 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 M2 32B Q4 K M on your machine.
Run
lms load hf-baichuan-inc--baichuan-m2-32b-q4-k-m-gguf && lms server startYes, AMD Instinct MI325X 256GB can run Baichuan M2 32B Q4 K M with a C grade (Runs well). Expected decode speed: 224.4 tok/s.
Baichuan M2 32B Q4 K M (32B parameters) requires approximately 49.8 GB of memory with Q4_K_M quantization.
The recommended quantization for Baichuan M2 32B Q4 K M is Q4_K_M, which balances quality and memory efficiency.
On AMD Instinct MI325X 256GB, Baichuan M2 32B Q4 K M achieves approximately 224.4 tokens per second decode speed with a time-to-first-token of 863ms using Q4_K_M quantization.
For coding workloads, Baichuan M2 32B Q4 K M on AMD Instinct MI325X 256GB receives a C grade with 224.4 tok/s and 896K context.
On AMD Instinct MI325X 256GB, Baichuan M2 32B Q4 K M can safely use up to 896K 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-baichuan-inc--baichuan-m2-32b-q4-k-m-gguf-on-instinct-mi325x-256gb" 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 | D37 |
Q6_K | 6 | 26.2 GB | High | D37 |
Q8_0 | 8 | 34.2 GB | Very High | D38 |
F16Best for your GPU | 16 | 65.6 GB | Maximum | C40 |