MPT-7B-Instruct needs ~15.7 GB VRAM. NVIDIA A30 24GB has 24.0 GB. With Q4_K_M quantization, expect ~98 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
98.0 tok/s
TTFT
1976 ms
Safe context
8K
Memory
15.7 GB / 24.0 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 | 98.0 tok/s | 1078 ms | 8K |
| Coding | A | Runs well | 98.0 tok/s | 1976 ms | 8K |
| Agentic Coding | A | Runs with offload | 98.0 tok/s | 2873 ms | 8K |
| Reasoning | A | Runs well | 98.0 tok/s | 2335 ms | 8K |
| RAG | A | Runs with offload | 98.0 tok/s | 3592 ms | 8K |
How MPT-7B-Instruct (7B params) fits at each quantization level on NVIDIA A30 24GB (24.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | B60 |
Q3_K_S | 3 | 3.4 GB | Low | B61 |
NVFP4 | 4 | 3.9 GB | Medium | B61 |
Q4_K_M | 4 | 4.3 GB | Medium | B61 |
Q5_K_M | 5 | 5.0 GB | High | B62 |
Q6_K | 6 | 5.7 GB | High | B62 |
Q8_0 | 8 | 7.5 GB | Very High | B63 |
F16Best for your GPU | 16 | 14.3 GB | Maximum | B66 |
Copy-paste commands to run MPT-7B-Instruct on your machine.
Run
lms load mpt-7b-instruct && lms server startYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 Qwen3-Coder 30B A3B Instruct | 30.5B | S | 110 tok/s | |
| Qwen 3.5 27B | 27B | S | 47.7 tok/s | |
| Qwen 3.6 27B | 27B | S | 47.9 tok/s | |
| Qwen3-VL 30B A3B Instruct | 30B | S | 113.8 tok/s | |
| Qwen 3.5 9B | 9B | S | 126 tok/s |
Yes, NVIDIA A30 24GB can run MPT-7B-Instruct with a A grade (Runs well). Expected decode speed: 98.0 tok/s.
MPT-7B-Instruct (7B parameters) requires approximately 15.7 GB of memory with Q4_K_M quantization.
The recommended quantization for MPT-7B-Instruct is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA A30 24GB, MPT-7B-Instruct achieves approximately 98.0 tokens per second decode speed with a time-to-first-token of 1976ms using Q4_K_M quantization.
For coding workloads, MPT-7B-Instruct on NVIDIA A30 24GB receives a A grade with 98.0 tok/s and 8K context.
On NVIDIA A30 24GB, MPT-7B-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-7b-instruct-on-a30-24gb" 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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