MPT-30B-Instruct needs ~75.0 GB VRAM. AMD Instinct MI350X 288GB has 288.0 GB. With Q5_K_M quantization, expect ~276 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
275.8 tok/s
TTFT
702 ms
Safe context
8K
Memory
75.0 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 | B | Runs well | 275.8 tok/s | 383 ms | 8K |
| Coding | B | Runs well | 275.8 tok/s | 702 ms | 8K |
| Agentic Coding | B | Runs well | 275.8 tok/s | 1021 ms | 8K |
| Reasoning | B | Runs well | 275.8 tok/s | 830 ms | 8K |
| RAG | B | Runs well | 275.8 tok/s | 1276 ms | 8K |
How MPT-30B-Instruct (30B params) fits at each quantization level on AMD Instinct MI350X 288GB (288.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.7 GB | Low | B57 |
Q3_K_S | 3 | 14.7 GB | Low | B57 |
NVFP4 | 4 | 16.8 GB | Medium | B57 |
Q4_K_M | 4 | 18.3 GB | Medium | B57 |
Q5_K_M | 5 | 21.6 GB | High | B57 |
Q6_K | 6 | 24.6 GB | High | B58 |
Q8_0 | 8 | 32.1 GB | Very High | B58 |
F16Best for your GPU | 16 | 61.5 GB | Maximum | B60 |
Copy-paste commands to run MPT-30B-Instruct on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "mosaicml/mpt-30b-instruct" \
--hf-file "mpt-30b-instruct-Q5_K_M.gguf" \
-c 4096 -ngl 99Yes, AMD Instinct MI350X 288GB can run MPT-30B-Instruct with a B grade (Runs well). Expected decode speed: 275.8 tok/s.
MPT-30B-Instruct (30B parameters) requires approximately 75.0 GB of memory with Q5_K_M quantization.
The recommended quantization for MPT-30B-Instruct is Q5_K_M, which balances quality and memory efficiency.
On AMD Instinct MI350X 288GB, MPT-30B-Instruct achieves approximately 275.8 tokens per second decode speed with a time-to-first-token of 702ms using Q5_K_M quantization.
For coding workloads, MPT-30B-Instruct on AMD Instinct MI350X 288GB receives a B grade with 275.8 tok/s and 8K context.
On AMD Instinct MI350X 288GB, MPT-30B-Instruct can safely use up to 8K tokens of context. The model's official context limit is 8K, 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/mpt-30b-instruct-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: