Raises estimated decode speed by about 49%.
Adds memory headroom for longer context windows and future model growth.
~$899 MSRP
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VOOZH | about |
MPT-7B-Instruct needs ~14.6 GB VRAM. RX 6800 16GB has 16.0 GB. With Q4_K_M quantization, expect ~66 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
Tight fit
Decode
65.9 tok/s
TTFT
2936 ms
Safe context
8K
Memory
14.6 GB / 16.0 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 | 65.9 tok/s | 1601 ms | 8K |
| Coding | B | Tight fit | 65.9 tok/s | 2936 ms | 8K |
| Agentic Coding | F | Too heavy | 24.4 tok/s | 11555 ms | 8K |
| Reasoning | B | Tight fit | 65.9 tok/s | 3469 ms | 8K |
| RAG | F | Too heavy | 24.4 tok/s | 14443 ms | 8K |
How MPT-7B-Instruct (7B params) fits at each quantization level on RX 6800 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | B63 |
Q3_K_S | 3 | 3.4 GB | Low | B63 |
NVFP4 | 4 | 3.9 GB | Medium | B64 |
Q4_K_M | 4 | 4.3 GB | Medium | B64 |
Q5_K_M | 5 | 5.0 GB | High | B65 |
Q6_K | 6 | 5.7 GB | High | B66 |
Q8_0Best for your GPU | 8 | 7.5 GB | Very High | B67 |
F16 | 16 | 14.3 GB | Maximum | F0 |
Copy-paste commands to run MPT-7B-Instruct on your machine.
Run
lms load mpt-7b-instruct && lms server startUpgrade options
Raises estimated decode speed by about 49%.
Adds memory headroom for longer context windows and future model growth.
~$899 MSRP
Raises estimated decode speed by about 49%.
Adds memory headroom for longer context windows and future model growth.
~$999 MSRP