RX 7900 XT 20GBBest value
20 GB VRAM (+4)800 GB/s (+600)
B
Raises estimated decode speed by about 149%.98 tok/s decode
Raises estimated decode speed by about 149%.
Adds memory headroom for longer context windows and future model growth.
~$899 MSRP
Can Mistral 7B Instruct v0.3 run on NVIDIA A2 16GB?
YES — Runs Great
B63Good
○Estimated from fit model
Mistral 7B Instruct v0.3 needs ~9.0 GB VRAM. NVIDIA A2 16GB has 16.0 GB. With Q4_K_M quantization, expect ~37 tok/s.
Runtime: OllamaCapacity: RoomyBandwidth: Very lowStack: BasicBottleneck: Memory bandwidth
Share:
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
Q4_K_M (Medium quality) — 9.0 GB, 39.3 tok/s, Runs well
9.0 GB required16.0 GB available
56% VRAM used
Fit status
Runs well
Decode
39.3 tok/s
TTFT
4929 ms
Safe context
8K
Memory
9.0 GB / 16.0 GB
Memory breakdown
Weights4.3 GB
KV Cache2.0 GB
Runtime1.2 GB
Headroom1.6 GB
See how fast it feels
See how fast it feelsMistral 7B Instruct v0.3 on NVIDIA A2 16GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step.
Given information:
- Speed = 60 mph (miles per hour)
- Time = 2.5 hours
Formula: Distance = Speed x Time
Calculation:
Distance = 60 mph x 2.5 h
= 150 miles
The train travels 150 miles.
Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time.
Breakdown:
- First half: 1.25 hours at 60 mph = 75 miles
- Stop: 20 minutes (no distance)
- Second half: 1.25 hours at 60 mph = 75 miles
Total distance: 150 miles (same)
Total time: 2.5 h + 0.33 h = 2.83 hours
Average speed: 150 / 2.83 = 53 mph
The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 39.3 tok/s decode · 4.9s TTFT (warm) · 98 tok/s prefill
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 | 36.5 tok/s | 2890 ms | 8K |
| Coding | B | Runs well | 36.5 tok/s | 5299 ms | 8K |
| Agentic Coding | B | Runs well | 36.5 tok/s | 7708 ms | 8K |
| Reasoning | B | Runs well | 36.5 tok/s | 6263 ms | 8K |
| RAG | B | Runs well | 36.5 tok/s | 9635 ms | 8K |
Quantization options
How Mistral 7B Instruct v0.3 (7B params) fits at each quantization level on NVIDIA A2 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | B59 |
Q3_K_S | 3 | 3.4 GB | Low | B60 |
NVFP4 | 4 |
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 startUpgrade options
