Raises estimated decode speed by about 31%.
~$2,499 MSRP
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VOOZH | about |
MPT-7B-Instruct needs ~16.2 GB VRAM. Radeon Pro W6800 32GB has 32.0 GB. With Q4_K_M quantization, expect ~67 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
67.1 tok/s
TTFT
2883 ms
Safe context
8K
Memory
16.2 GB / 32.0 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 | 67.1 tok/s | 1573 ms | 8K |
| Coding | B | Runs well | 67.1 tok/s | 2883 ms | 8K |
| Agentic Coding | A | Runs well | 67.1 tok/s | 4194 ms | 8K |
| Reasoning | B | Runs well | 67.1 tok/s | 3407 ms | 8K |
| RAG | A | Runs well | 67.1 tok/s | 5242 ms | 8K |
How MPT-7B-Instruct (7B params) fits at each quantization level on Radeon Pro W6800 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | B59 |
Q3_K_S | 3 | 3.4 GB | Low | B59 |
NVFP4 | 4 |
Copy-paste commands to run MPT-7B-Instruct on your machine.
Run
lms load mpt-7b-instruct && lms server startUpgrade options
| Medium |
| B59 |
Q4_K_M | 4 | 4.3 GB | Medium | B60 |
Q5_K_M | 5 | 5.0 GB | High | B60 |
Q6_K | 6 | 5.7 GB | High | B60 |
Q8_0 | 8 | 7.5 GB | Very High | B61 |
F16Best for your GPU | 16 | 14.3 GB | Maximum | B64 |