Can Mistral 7B Instruct v0.3 run on RX 6750 XT 12GB?
YES — Runs Great
Mistral 7B Instruct v0.3 needs ~8.3 GB VRAM. RX 6750 XT 12GB has 12.0 GB. With Q4_K_M quantization, expect ~58 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
Runs well
Decode
57.6 tok/s
TTFT
3359 ms
Safe context
8K
Memory
8.3 GB / 12.0 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 | B | Runs well | 57.6 tok/s | 1832 ms | 8K |
| Coding | B | Runs well | 57.6 tok/s | 3359 ms | 8K |
| Agentic Coding | B | Tight fit | 57.6 tok/s | 4885 ms | 8K |
| Reasoning | B | Runs well | 53.6 tok/s | 4267 ms | 8K |
| RAG | B | Tight fit | 57.6 tok/s | 6107 ms | 8K |
Quantization options
How Mistral 7B Instruct v0.3 (7B params) fits at each quantization level on RX 6750 XT 12GB (12.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | B61 |
Q3_K_S | 3 | 3.4 GB | Low | B62 |
NVFP4 | 4 | 3.9 GB | Medium | B63 |
Q4_K_M | 4 | 4.3 GB | Medium | B63 |
Q5_K_M | 5 | 5.0 GB | High | B64 |
Q6_K | 6 | 5.7 GB | High | B65 |
Q8_0Best for your GPU | 8 | 7.5 GB | Very High | B64 |
F16 | 16 | 14.3 GB | Maximum | F0 |
Get started
Copy-paste commands to run Mistral 7B Instruct v0.3 on your machine.
Run
lms load Mistral-7B-Instruct-v0.3 && lms server startFrequently asked questions
Can RX 6750 XT 12GB run Mistral 7B Instruct v0.3?
Yes, RX 6750 XT 12GB can run Mistral 7B Instruct v0.3 with a B grade (Runs well). Expected decode speed: 57.6 tok/s.
How much VRAM does Mistral 7B Instruct v0.3 need?
Mistral 7B Instruct v0.3 (7B parameters) requires approximately 8.3 GB of memory with Q4_K_M quantization.
What is the best quantization for Mistral 7B Instruct v0.3?
The recommended quantization for Mistral 7B Instruct v0.3 is Q4_K_M, which balances quality and memory efficiency.
What speed will Mistral 7B Instruct v0.3 run at on RX 6750 XT 12GB?
On RX 6750 XT 12GB, Mistral 7B Instruct v0.3 achieves approximately 57.6 tokens per second decode speed with a time-to-first-token of 3359ms using Q4_K_M quantization.
Can RX 6750 XT 12GB run Mistral 7B Instruct v0.3 for coding?
For coding workloads, Mistral 7B Instruct v0.3 on RX 6750 XT 12GB receives a B grade with 57.6 tok/s and 8K context.
What context window can Mistral 7B Instruct v0.3 use on RX 6750 XT 12GB?
On RX 6750 XT 12GB, Mistral 7B Instruct v0.3 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/mistral-7b-instruct-v0.3-on-rx-6750-xt-12gb" 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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