MacBook Pro M4 Pro 24GBOpção econômica
24 GB Unified (+8)
B
This setup is broadly balanced for this model.48.7 tok/s decodificação
~$1,999 MSRP
Can Mistral 7B Instruct v0.3 run on RX 9060 XT 16GB?
YES — Runs Great
B64Good
Estimated from fit model
Mistral 7B Instruct v0.3 needs ~8.7 GB VRAM. RX 9060 XT 16GB has 16.0 GB. With Q4_K_M quantization, expect ~51 tok/s.
Runtime: llama.cppCapacity: RoomyBandwidth: LowStack: StandardBottleneck: Balanced
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) — 8.7 GB, 50.8 tok/s, Runs well
8.7 GB required16.0 GB available
54% VRAM used
Fit status
Runs well
Decode
50.8 tok/s
TTFT
3814 ms
Safe context
8K
Memory
8.7 GB / 16.0 GB
Memory breakdown
Weights4.3 GB
KV Cache2.0 GB
Runtime0.9 GB
Headroom1.6 GB
See how fast it feels
See how fast it feelsMistral 7B Instruct v0.3 on RX 9060 XT 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: 50.8 tok/s decode · 3.8s TTFT (warm) · 127 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 | 50.8 tok/s | 2081 ms | 8K |
| Coding | B | Runs well | 50.8 tok/s | 3814 ms | 8K |
| Agentic Coding | B | Runs well | 50.8 tok/s | 5548 ms | 8K |
| Reasoning | B | Runs well | 50.8 tok/s | 4508 ms | 8K |
| RAG | B | Runs well | 50.8 tok/s | 6935 ms | 8K |
Quantization options
How Mistral 7B Instruct v0.3 (7B params) fits at each quantization level on RX 9060 XT 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 | 3.9 GB | Medium | B60 |
Q4_K_M | 4 | 4.3 GB | Medium | B60 |
Q5_K_M | 5 | 5.0 GB | High | B61 |
Q6_K | 6 | 5.7 GB | High | B62 |
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 startOpções de upgrade
Hardware que roda bem Mistral 7B Instruct v0.3
Frequently asked questions
Can RX 9060 XT 16GB run Mistral 7B Instruct v0.3?
Yes, RX 9060 XT 16GB can run Mistral 7B Instruct v0.3 with a B grade (Runs well). Expected decode speed: 50.8 tok/s.
How much VRAM does Mistral 7B Instruct v0.3 need?
Mistral 7B Instruct v0.3 (7B parameters) requires approximately 8.7 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 9060 XT 16GB?
On RX 9060 XT 16GB, Mistral 7B Instruct v0.3 achieves approximately 50.8 tokens per second decode speed with a time-to-first-token of 3814ms using Q4_K_M quantization.
Can RX 9060 XT 16GB run Mistral 7B Instruct v0.3 for coding?
For coding workloads, Mistral 7B Instruct v0.3 on RX 9060 XT 16GB receives a B grade with 50.8 tok/s and 8K context.
What context window can Mistral 7B Instruct v0.3 use on RX 9060 XT 16GB?
On RX 9060 XT 16GB, 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.
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