Baichuan M3 235B needs ~191.0 GB VRAM. AMD Instinct MI300X 192GB has 192.0 GB. With Q4_K_M quantization, expect ~29 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 with offload
Decode
28.8 tok/s
TTFT
6713 ms
Safe context
17K
Memory
191.0 GB / 192.0 GB
This setup is broadly balanced for this model.
Very little memory headroom
You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.
Buy headroom, not only minimum fit
A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Tight fit | 28.8 tok/s | 3662 ms | 17K |
| Coding | C | Runs with offload | 28.8 tok/s | 6713 ms | 17K |
| Agentic Coding | D | Very compromised (needs ~17.4 GB host RAM) | 16.5 tok/s | 17097 ms | 17K |
| Reasoning | C | Runs with offload | 28.8 tok/s | 7934 ms | 17K |
| RAG | D | Very compromised (needs ~17.4 GB host RAM) | 16.5 tok/s | 21371 ms | 17K |
How Baichuan M3 235B (235B params) fits at each quantization level on AMD Instinct MI300X 192GB (192.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 91.7 GB | Low | C47 |
Q3_K_S | 3 | 115.2 GB | Low | C47 |
NVFP4 | 4 | 131.6 GB | Medium | C47 |
Q4_K_MBest for your GPU | 4 | 143.4 GB | Medium | C47 |
Q5_K_M | 5 | 169.2 GB | High | F0 |
Q6_K | 6 | 192.7 GB | High | F0 |
Q8_0 | 8 | 251.5 GB | Very High | F0 |
F16 | 16 | 481.7 GB | Maximum | F0 |
Copy-paste commands to run Baichuan M3 235B on your machine.
Run
lms load hf-mradermacher--baichuan-m3-235b-gguf && lms server startUpgrade options
Raises estimated decode speed by about 41%.
Adds memory headroom for longer context windows and future model growth.
~$8,000 MSRP
Adds memory headroom for longer context windows and future model growth.
~$20,000 MSRP
Yes, AMD Instinct MI300X 192GB can run Baichuan M3 235B with a C grade (Runs with offload). Expected decode speed: 28.8 tok/s.
Baichuan M3 235B (235B parameters) requires approximately 191.0 GB of memory with Q4_K_M quantization.
The recommended quantization for Baichuan M3 235B is Q4_K_M, which balances quality and memory efficiency.
On AMD Instinct MI300X 192GB, Baichuan M3 235B achieves approximately 28.8 tokens per second decode speed with a time-to-first-token of 6713ms using Q4_K_M quantization.
For coding workloads, Baichuan M3 235B on AMD Instinct MI300X 192GB receives a C grade with 28.8 tok/s and 17K context.
On AMD Instinct MI300X 192GB, Baichuan M3 235B can safely use up to 17K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
Buy headroom, not only minimum fit. A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/hf-mradermacher--baichuan-m3-235b-gguf-on-instinct-mi300x-192gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: