RX 7900 XT 20GBBest value
20 GB VRAM (+4)800 GB/s (+512)
C
Raises estimated decode speed by about 83%.98 tok/s decode
Raises estimated decode speed by about 83%.
Adds memory headroom for longer context windows and future model growth.
~$899 MSRP
Can Qwen 2.5 Math 7B run on RTX 4060 Ti 16GB?
YES — Runs Great
C55Usable
○Estimated from fit model
Qwen 2.5 Math 7B needs ~7.9 GB VRAM. RTX 4060 Ti 16GB has 16.0 GB. With Q4_K_M quantization, expect ~54 tok/s.
Runtime: OllamaCapacity: RoomyBandwidth: LowStack: BasicBottleneck: Balanced
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) — 7.9 GB, 53.5 tok/s, Runs well
7.9 GB required16.0 GB available
49% VRAM used
Fit status
Runs well
Decode
53.5 tok/s
TTFT
3622 ms
Safe context
4K
Memory
7.9 GB / 16.0 GB
Memory breakdown
Weights4.3 GB
KV Cache0.9 GB
Runtime1.2 GB
Headroom1.6 GB
See how fast it feels
See how fast it feelsQwen 2.5 Math 7B on RTX 4060 Ti 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: 53.5 tok/s decode · 3.6s TTFT (warm) · 134 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 | C | Runs well | 53.5 tok/s | 1975 ms | 4K |
| Coding | C | Runs well | 53.5 tok/s | 3622 ms | 4K |
| Agentic Coding | B | Runs well | 53.5 tok/s | 5268 ms | 4K |
| Reasoning | C | Runs well | 53.5 tok/s | 4280 ms | 4K |
| RAG | B | Runs well | 53.5 tok/s | 6585 ms | 4K |
Quantization options
How Qwen 2.5 Math 7B (7B params) fits at each quantization level on RTX 4060 Ti 16GB (16.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | C51 |
Q3_K_S | 3 | 3.4 GB | Low | C52 |
NVFP4 | 4 | 3.9 GB | Medium | C52 |
Q4_K_M | 4 | 4.3 GB | Medium | C52 |
Q5_K_M | 5 | 5.0 GB | High | C53 |
Q6_K | 6 | 5.7 GB | High | C54 |
Q8_0Best for your GPU | 8 | 7.5 GB | Very High | B56 |
F16 | 16 | 14.3 GB | Maximum | F0 |
Get started
Copy-paste commands to run Qwen 2.5 Math 7B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "Qwen/Qwen2.5-Math-7B-Instruct" \
--hf-file "Qwen2.5-Math-7B-Instruct-Q4_K_M.gguf" \
-c 4096 -ngl 99Upgrade options
