Can MPT-30B-Instruct run on AMD Instinct MI210 64GB?
YES — Tight Fit
MPT-30B-Instruct needs ~52.6 GB VRAM. AMD Instinct MI210 64GB has 64.0 GB. With Q5_K_M quantization, expect ~53 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
Tight fit
Decode
52.6 tok/s
TTFT
3681 ms
Safe context
8K
Memory
52.6 GB / 64.0 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 | 52.6 tok/s | 2008 ms | 8K |
| Coding | A | Tight fit | 52.6 tok/s | 3681 ms | 8K |
| Agentic Coding | C | Very compromised (needs ~3.4 GB host RAM) | 27.4 tok/s | 10271 ms | 8K |
| Reasoning | A | Tight fit | 52.6 tok/s | 4350 ms | 8K |
| RAG | C | Very compromised (needs ~3.4 GB host RAM) | 27.4 tok/s | 12839 ms | 8K |
Quantization options
How MPT-30B-Instruct (30B params) fits at each quantization level on AMD Instinct MI210 64GB (64.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.7 GB | Low | B62 |
Q3_K_S | 3 | 14.7 GB | Low | B63 |
NVFP4 | 4 | 16.8 GB | Medium | B63 |
Q4_K_M | 4 | 18.3 GB | Medium | B64 |
Q5_K_M | 5 | 21.6 GB | High | B64 |
Q6_K | 6 | 24.6 GB | High | B65 |
Q8_0Best for your GPU | 8 | 32.1 GB | Very High | B67 |
F16 | 16 | 61.5 GB | Maximum | F0 |
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 MI210 64GB can run
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | S | 168.4 tok/s | ||
| 35B | S | 141.5 tok/s | ||
| 35B | S | 153.9 tok/s | ||
| 32B | S | 62.1 tok/s | ||
| 30.5B | S | 168.4 tok/s |
Frequently asked questions
Can AMD Instinct MI210 64GB run MPT-30B-Instruct?
Yes, AMD Instinct MI210 64GB can run MPT-30B-Instruct with a A grade (Tight fit). Expected decode speed: 52.6 tok/s.
How much VRAM does MPT-30B-Instruct need?
MPT-30B-Instruct (30B parameters) requires approximately 52.6 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 MI210 64GB?
On AMD Instinct MI210 64GB, MPT-30B-Instruct achieves approximately 52.6 tokens per second decode speed with a time-to-first-token of 3681ms using Q5_K_M quantization.
Can AMD Instinct MI210 64GB run MPT-30B-Instruct for coding?
For coding workloads, MPT-30B-Instruct on AMD Instinct MI210 64GB receives a A grade with 52.6 tok/s and 8K context.
What context window can MPT-30B-Instruct use on AMD Instinct MI210 64GB?
On AMD Instinct MI210 64GB, 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-mi210-64gb" 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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