MacBook Pro M4 Max 48GBBudget pick
48 GB Unified (+16)
B
This setup is broadly balanced for this model.94.4 tok/s decode
~$2,499 MSRP
Mistral 7B Instruct v0.3 needs ~10.3 GB VRAM. Radeon Pro W7800 32GB has 32.0 GB. With Q4_K_M quantization, expect ~86 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
85.6 tok/s
TTFT
2263 ms
Safe context
8K
Memory
10.3 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 | 85.6 tok/s | 1234 ms | 8K |
| Coding | B | Runs well | 85.6 tok/s | 2263 ms | 8K |
| Agentic Coding | B | Runs well | 85.6 tok/s | 3291 ms | 8K |
| Reasoning | B | Runs well | 85.6 tok/s | 2674 ms | 8K |
| RAG | B | Runs well | 85.6 tok/s | 4114 ms | 8K |
How Mistral 7B Instruct v0.3 (7B params) fits at each quantization level on Radeon Pro W7800 32GB (32.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | B55 |
Q3_K_S | 3 | 3.4 GB | Low | B55 |
NVFP4 | 4 | 3.9 GB | Medium | B56 |
Q4_K_M | 4 | 4.3 GB | Medium | B56 |
Q5_K_M | 5 | 5.0 GB | High | B56 |
Q6_K | 6 | 5.7 GB | High | B56 |
Q8_0 | 8 | 7.5 GB | Very High | B57 |
F16Best for your GPU | 16 | 14.3 GB | Maximum | B60 |
Copy-paste commands to run Mistral 7B Instruct v0.3 on your machine.
Run
lms load Mistral-7B-Instruct-v0.3 && lms server startUpgrade options
Yes, Radeon Pro W7800 32GB can run Mistral 7B Instruct v0.3 with a B grade (Runs well). Expected decode speed: 85.6 tok/s.
Mistral 7B Instruct v0.3 (7B parameters) requires approximately 10.3 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 W7800 32GB, Mistral 7B Instruct v0.3 achieves approximately 85.6 tokens per second decode speed with a time-to-first-token of 2263ms using Q4_K_M quantization.
For coding workloads, Mistral 7B Instruct v0.3 on Radeon Pro W7800 32GB receives a B grade with 85.6 tok/s and 8K context.
On Radeon Pro W7800 32GB, 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.
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-w7800-32gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: