MPT-30B-Instruct needs ~59.0 GB VRAM. AMD Instinct MI250X 128GB has 128.0 GB. With Q5_K_M quantization, expect ~118 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
117.9 tok/s
TTFT
1643 ms
Safe context
8K
Memory
59.0 GB / 128.0 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 | A | Runs well | 117.9 tok/s | 896 ms | 8K |
| Coding | A | Runs well | 117.9 tok/s | 1643 ms | 8K |
| Agentic Coding | A | Runs well | 117.9 tok/s | 2389 ms | 8K |
| Reasoning | A | Runs well | 117.9 tok/s | 1941 ms | 8K |
| RAG | A | Runs well | 117.9 tok/s | 2986 ms | 8K |
How MPT-30B-Instruct (30B params) fits at each quantization level on AMD Instinct MI250X 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 |
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
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Devstral 2 123B Instruct | 123B | S | 36.2 tok/s | |
 Qwen3-Coder 30B A3B Instruct | 30.5B | S | 377.4 tok/s | |
| Qwen 3.5 122B A10B | 122B | S | 100.3 tok/s | |
| Qwen 3.6 35B A3B | 35B | S | 317.2 tok/s | |
| Qwen 3.5 35B A3B | 35B | S | 344.9 tok/s |
Yes, AMD Instinct MI250X 128GB can run MPT-30B-Instruct with a A grade (Runs well). Expected decode speed: 117.9 tok/s.
MPT-30B-Instruct (30B parameters) requires approximately 59.0 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 MI250X 128GB, MPT-30B-Instruct achieves approximately 117.9 tokens per second decode speed with a time-to-first-token of 1643ms using Q5_K_M quantization.
For coding workloads, MPT-30B-Instruct on AMD Instinct MI250X 128GB receives a A grade with 117.9 tok/s and 8K context.
On AMD Instinct MI250X 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.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/mpt-30b-instruct-on-instinct-mi250x-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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