Mistral 7B Instruct v0.3 needs ~7.9 GB VRAM. Radeon Pro W7500 8GB has 8.0 GB. With Q4_K_M quantization, expect ~33 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 with offload
Decode
33.3 tok/s
TTFT
5819 ms
Safe context
8K
Memory
7.9 GB / 8.0 GB
This setup is broadly balanced for this model.
Very little memory headroom
You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.
Buy headroom, not only minimum fit
A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Tight fit | 33.3 tok/s | 3174 ms | 8K |
| Coding | B | Runs with offload | 33.3 tok/s | 5819 ms | 8K |
| Agentic Coding | F | Too heavy | 16.0 tok/s | 17583 ms | 8K |
| Reasoning | B | Runs with offload | 33.3 tok/s | 6877 ms | 8K |
| RAG | F | Too heavy | 16.0 tok/s | 21979 ms | 8K |
How Mistral 7B Instruct v0.3 (7B params) fits at each quantization level on Radeon Pro W7500 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | B65 |
Q3_K_S | 3 | 3.4 GB | Low | B66 |
NVFP4 | 4 | 3.9 GB | Medium | B66 |
Q4_K_M | 4 | 4.3 GB | Medium | B65 |
Q5_K_MBest for your GPU | 5 | 5.0 GB | High | B65 |
Q6_K | 6 | 5.7 GB | High | F0 |
Q8_0 | 8 | 7.5 GB | Very High | F0 |
F16 | 16 | 14.3 GB | Maximum | F0 |
Copy-paste commands to run Mistral 7B Instruct v0.3 on your machine.
Run
lms load Mistral-7B-Instruct-v0.3 && lms server startUpgrade-Optionen
Raises estimated decode speed by about 26%.
Adds memory headroom for longer context windows and future model growth.
ca. $329 MSRP
Raises estimated decode speed by about 53%.
Adds memory headroom for longer context windows and future model growth.
ca. $349 MSRP
Raises estimated decode speed by about 96%.
Adds memory headroom for longer context windows and future model growth.
ca. $449 MSRP
Yes, Radeon Pro W7500 8GB can run Mistral 7B Instruct v0.3 with a B grade (Runs with offload). Expected decode speed: 33.3 tok/s.
Mistral 7B Instruct v0.3 (7B parameters) requires approximately 7.9 GB of memory with Q4_K_M quantization.
The recommended quantization for Mistral 7B Instruct v0.3 is Q4_K_M, which balances quality and memory efficiency.
On Radeon Pro W7500 8GB, Mistral 7B Instruct v0.3 achieves approximately 33.3 tokens per second decode speed with a time-to-first-token of 5819ms using Q4_K_M quantization.
For coding workloads, Mistral 7B Instruct v0.3 on Radeon Pro W7500 8GB receives a B grade with 33.3 tok/s and 8K context.
On Radeon Pro W7500 8GB, 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.
Buy headroom, not only minimum fit. A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/mistral-7b-instruct-v0.3-on-radeon-pro-w7500-8gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: