Can MPT-30B-Instruct run on AMD Instinct MI250 128GB?
YES — Runs Great
MPT-30B-Instruct needs ~59.0 GB VRAM. AMD Instinct MI250 128GB has 128.0 GB. With Q5_K_M quantization, expect ~103 tok/s.
Operating mode
Choose the run profile you care about
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
102.8 tok/s
TTFT
1884 ms
Safe context
8K
Memory
59.0 GB / 128.0 GB
Memory breakdown
See how fast it feels
What limits this setup
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.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | A | Runs well | 102.8 tok/s | 1028 ms | 8K |
| Coding | A | Runs well | 102.8 tok/s | 1884 ms | 8K |
| Agentic Coding | A | Runs well | 102.8 tok/s | 2740 ms | 8K |
| Reasoning | A | Runs well | 102.8 tok/s | 2227 ms | 8K |
| RAG | A | Runs well | 102.8 tok/s | 3426 ms | 8K |
Quantization options
How MPT-30B-Instruct (30B params) fits at each quantization level on AMD Instinct MI250 128GB (128.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.7 GB | Low | B59 |
Q3_K_S | 3 | 14.7 GB | Low | B59 |
NVFP4 | 4 | 16.8 GB | Medium | B59 |
Q4_K_M | 4 | 18.3 GB | Medium | B60 |
Q5_K_M | 5 | 21.6 GB | High | B60 |
Q6_K | 6 | 24.6 GB | High | B60 |
Q8_0 | 8 | 32.1 GB | Very High | B61 |
F16Best for your GPU | 16 | 61.5 GB | Maximum | B66 |
Get started
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 99Your hardware
More models your AMD Instinct MI250 128GB can run
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 123B | S | 31.5 tok/s | ||
| 30.5B | S | 329 tok/s | ||
| 122B | S | 87.5 tok/s | ||
| 35B | S | 276.5 tok/s | ||
| 35B | S | 300.7 tok/s |
Frequently asked questions
Can AMD Instinct MI250 128GB run MPT-30B-Instruct?
Yes, AMD Instinct MI250 128GB can run MPT-30B-Instruct with a A grade (Runs well). Expected decode speed: 102.8 tok/s.
How much VRAM does MPT-30B-Instruct need?
MPT-30B-Instruct (30B parameters) requires approximately 59.0 GB of memory with Q5_K_M quantization.
What is the best quantization for MPT-30B-Instruct?
The recommended quantization for MPT-30B-Instruct is Q5_K_M, which balances quality and memory efficiency.
What speed will MPT-30B-Instruct run at on AMD Instinct MI250 128GB?
On AMD Instinct MI250 128GB, MPT-30B-Instruct achieves approximately 102.8 tokens per second decode speed with a time-to-first-token of 1884ms using Q5_K_M quantization.
Can AMD Instinct MI250 128GB run MPT-30B-Instruct for coding?
For coding workloads, MPT-30B-Instruct on AMD Instinct MI250 128GB receives a A grade with 102.8 tok/s and 8K context.
What context window can MPT-30B-Instruct use on AMD Instinct MI250 128GB?
On AMD Instinct MI250 128GB, 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.
Embed this result▼
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<iframe src="https://willitrunai.com/embed/mpt-30b-instruct-on-instinct-mi250-128gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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