RX 7600 XT 16GBBudget pick
16 GB VRAM (+8)288 GB/s (+32)
B
Raises estimated decode speed by about 52%.42.1 tok/s decode
Raises estimated decode speed by about 52%.
Adds memory headroom for longer context windows and future model growth.
~$329 MSRP
Mistral 7B Instruct v0.3 needs ~7.9 GB VRAM. RX 590 8GB has 8.0 GB. With Q4_K_M quantization, expect ~28 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
27.7 tok/s
TTFT
6986 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.
Older PCIe generation
PCIe 3.0 is workable, but it compounds the penalty when you offload heavily or try to scale across multiple cards.
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 | 27.7 tok/s | 3810 ms | 8K |
| Coding | B | Runs with offload | 27.7 tok/s | 6986 ms | 8K |
| Agentic Coding | F | Too heavy | 12.7 tok/s | 22126 ms | 8K |
| Reasoning | B | Runs with offload | 27.7 tok/s | 8256 ms | 8K |
| RAG | F | Too heavy | 12.7 tok/s | 27658 ms | 8K |
How Mistral 7B Instruct v0.3 (7B params) fits at each quantization level on RX 590 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 |
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
Raises estimated decode speed by about 52%.
Adds memory headroom for longer context windows and future model growth.
~$329 MSRP
Raises estimated decode speed by about 83%.
Adds memory headroom for longer context windows and future model growth.
~$349 MSRP
Raises estimated decode speed by about 136%.
Adds memory headroom for longer context windows and future model growth.
~$449 MSRP
Yes, RX 590 8GB can run Mistral 7B Instruct v0.3 with a B grade (Runs with offload). Expected decode speed: 27.7 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 RX 590 8GB, Mistral 7B Instruct v0.3 achieves approximately 27.7 tokens per second decode speed with a time-to-first-token of 6986ms using Q4_K_M quantization.
For coding workloads, Mistral 7B Instruct v0.3 on RX 590 8GB receives a B grade with 27.7 tok/s and 8K context.
On RX 590 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.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/mistral-7b-instruct-v0.3-on-rx-590-8gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
| 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 |
Buy headroom, not only minimum fit. A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.