Models › Qwen3 4B Thinking 2507
Qwen3 4B Thinking 2507: VRAM needs and speed by GPU
At Q4_K_M, Qwen3 4B Thinking 2507 needs about 3.4 GB of VRAM. We have 1 measured speed results for it.
4.02B parameters · license: apache-2.0 · GGUF files on Hugging Face
Measured speeds
| Hardware | Generate tok/s | Prompt tok/s | Quant | Backend | Test | Source |
|---|---|---|---|---|---|---|
| NVIDIA GTX 1060 | 22.7 | 506 | Q4_K_M | llamafile | LocalScore avg | LocalScore details |
Memory needed per quantization
| Quant | File size | Needs (estimate) | Smallest card it fits |
|---|---|---|---|
| UD-IQ1_S | 1.1 GB | 2.0 GB | 8 GB cards |
| UD-IQ1_M | 1.1 GB | 2.0 GB | 8 GB cards |
| UD-IQ2_XXS | 1.3 GB | 2.2 GB | 8 GB cards |
| UD-IQ2_M | 1.5 GB | 2.4 GB | 8 GB cards |
| Q2_K | 1.7 GB | 2.6 GB | 8 GB cards |
| Q2_K_L | 1.7 GB | 2.6 GB | 8 GB cards |
| UD-IQ3_XXS | 1.7 GB | 2.6 GB | 8 GB cards |
| UD-Q2_K_XL | 1.7 GB | 2.6 GB | 8 GB cards |
| Q3_K_S | 1.9 GB | 2.8 GB | 8 GB cards |
| Q3_K_M | 2.1 GB | 3.0 GB | 8 GB cards |
| UD-Q3_K_XL | 2.1 GB | 3.0 GB | 8 GB cards |
| IQ4_XS | 2.3 GB | 3.2 GB | 8 GB cards |
| Q4_0 | 2.4 GB | 3.3 GB | 8 GB cards |
| IQ4_NL | 2.4 GB | 3.3 GB | 8 GB cards |
| Q4_K_S | 2.4 GB | 3.3 GB | 8 GB cards |
| Q4_K_M | 2.5 GB | 3.4 GB | 8 GB cards |
| UD-Q4_K_XL | 2.5 GB | 3.4 GB | 8 GB cards |
| Q4_1 | 2.6 GB | 3.5 GB | 8 GB cards |
| Q5_K_S | 2.8 GB | 3.7 GB | 8 GB cards |
| Q5_K_M | 2.9 GB | 3.8 GB | 8 GB cards |
| UD-Q5_K_XL | 2.9 GB | 3.8 GB | 8 GB cards |
| Q6_K | 3.3 GB | 4.2 GB | 8 GB cards |
| UD-Q6_K_XL | 3.7 GB | 4.6 GB | 8 GB cards |
| Q8_0 | 4.3 GB | 5.2 GB | 8 GB cards |
| UD-Q8_K_XL | 5.1 GB | 6.0 GB | 8 GB cards |
| F16 | 8.1 GB | 9.0 GB | 12 GB cards |
Expected speed on popular hardware
| Hardware | Best quant that fits | Expected tok/s |
|---|---|---|
| NVIDIA RTX 3060 | Q8_0 | 72.0 estimate |
| NVIDIA RTX 4060 Ti | Q8_0 | 57.2 estimate |
| NVIDIA RTX 3090 | Q8_0 | 153 estimate |
| NVIDIA RTX 4090 | Q8_0 | 170 estimate |
| NVIDIA RTX 5090 | Q8_0 | 268 estimate |
| AMD Radeon RX 7900 XTX | Q8_0 | 170 estimate |
| Apple M4 Pro (20-core GPU) (64 GB) | Q8_0 | 54.1 estimate |
| Apple M3 Max (40-core GPU) (64 GB) | Q8_0 | 79.0 estimate |
| AMD Ryzen AI Max+ 395 (Radeon 8060S) | Q8_0 | 48.6 estimate |
Too big for your card?
Run Qwen3 4B Thinking 2507 on a rented 24-80 GB GPU by the hour.
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