RX 7700 XT 12GBBudget pick
12 GB VRAM (+4)432 GB/s (+144)
B
Raises estimated decode speed by about 53%.65.9 tok/s decode
Raises estimated decode speed by about 53%.
Adds memory headroom for longer context windows and future model growth.
~$449 MSRP
Qwen 2.5 Math 7B needs ~6.8 GB VRAM. Radeon RX 7700S 8GB has 8.0 GB. With Q4_K_M quantization, expect ~43 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
Tight fit
Decode
43.2 tok/s
TTFT
4481 ms
Safe context
4K
Memory
6.8 GB / 8.0 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 | 43.2 tok/s | 2444 ms | 4K |
| Coding | B | Tight fit | 43.2 tok/s | 4481 ms | 4K |
| Agentic Coding | B | Runs with offload | 43.2 tok/s | 6518 ms | 4K |
| Reasoning | B | Tight fit | 43.2 tok/s | 5296 ms | 4K |
| RAG | B | Runs with offload | 43.2 tok/s | 8147 ms | 4K |
How Qwen 2.5 Math 7B (7B params) fits at each quantization level on Radeon RX 7700S 8GB (8.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 2.7 GB | Low | B57 |
Q3_K_S | 3 | 3.4 GB | Low | B58 |
NVFP4 | 4 |
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
Raises estimated decode speed by about 53%.
Adds memory headroom for longer context windows and future model growth.
~$449 MSRP
Adds memory headroom for longer context windows and future model growth.
~$479 MSRP
Raises estimated decode speed by about 127%.
Adds memory headroom for longer context windows and future model growth.
~$479 MSRP
Yes, Radeon RX 7700S 8GB can run Qwen 2.5 Math 7B with a B grade (Tight fit). Expected decode speed: 43.2 tok/s.
Qwen 2.5 Math 7B (7B parameters) requires approximately 6.8 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen 2.5 Math 7B is Q4_K_M, which balances quality and memory efficiency.
On Radeon RX 7700S 8GB, Qwen 2.5 Math 7B achieves approximately 43.2 tokens per second decode speed with a time-to-first-token of 4481ms using Q4_K_M quantization.
For coding workloads, Qwen 2.5 Math 7B on Radeon RX 7700S 8GB receives a B grade with 43.2 tok/s and 4K context.
On Radeon RX 7700S 8GB, Qwen 2.5 Math 7B can safely use up to 4K tokens of context. The model's official context limit is 4K, 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/qwen-2.5-math-7b-on-rx-7700s-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 |
| B58 |
Q4_K_M | 4 | 4.3 GB | Medium | B57 |
Q5_K_MBest for your GPU | 5 | 5.0 GB | High | B57 |
Q6_K | 6 | 5.7 GB | High | F0 |
Q8_0 | 8 | 7.5 GB | Very High | F0 |
F16 | 16 | 14.3 GB | Maximum | F0 |