Models › AesCode-32B
AesCode-32B: VRAM needs and speed by GPU
At Q4_K_M, AesCode-32B needs about 22.1 GB of VRAM. No measured runs yet. Speeds below are estimates. Submit a run.
32.76B parameters · license: apache-2.0 · 262,144-token context · GGUF published Oct 11, 2026 · GGUF files on Hugging Face
Memory needed per quantization
| Quant | File size | Needs (estimate) | Smallest card it fits |
|---|---|---|---|
| IQ2_XXS | 10.6 GB | 12.3 GB | 16 GB cards |
| IQ2_XS | 11.4 GB | 13.0 GB | 16 GB cards |
| IQ2_S | 12.0 GB | 13.6 GB | 16 GB cards |
| IQ2_M | 12.7 GB | 14.3 GB | 16 GB cards |
| Q2_K | 13.0 GB | 14.6 GB | 16 GB cards |
| IQ3_XXS | 13.6 GB | 15.2 GB | 16 GB cards |
| IQ3_XS | 14.4 GB | 16.0 GB | 24 GB cards |
| Q3_K_S | 14.9 GB | 16.5 GB | 24 GB cards |
| IQ3_M | 15.5 GB | 17.1 GB | 24 GB cards |
| Q3_K_M | 16.5 GB | 18.1 GB | 24 GB cards |
| Q3_K_L | 17.5 GB | 19.1 GB | 24 GB cards |
| IQ4_XS | 18.1 GB | 19.7 GB | 24 GB cards |
| Q4_0 | 19.0 GB | 20.7 GB | 24 GB cards |
| IQ4_NL | 19.1 GB | 20.7 GB | 24 GB cards |
| Q4_K_S | 19.1 GB | 20.8 GB | 24 GB cards |
| Q4_K_M | 20.5 GB | 22.1 GB | 24 GB cards |
| Q4_1 | 20.9 GB | 22.5 GB | 24 GB cards |
| Q4_K_L | 21.1 GB | 22.7 GB | 24 GB cards |
| Q5_K_S | 22.8 GB | 24.4 GB | 32 GB cards |
| Q5_K_M | 23.8 GB | 25.4 GB | 32 GB cards |
| Q6_K | 28.0 GB | 29.6 GB | 32 GB cards |
| Q6_K_L | 28.4 GB | 30.0 GB | 32 GB cards |
| Q8_0 | 34.8 GB | 36.4 GB | 48 GB cards |
| BF16 | 65.5 GB | 67.2 GB | 96 GB cards |
Expected speed on popular hardware
| Hardware | Best quant that fits | Expected tok/s |
|---|---|---|
| NVIDIA RTX 3060 | Does not fit | |
| NVIDIA RTX 4060 Ti | Does not fit | |
| NVIDIA RTX 3090 | Q4_K_M | 32.0 estimate |
| NVIDIA RTX 4090 | Q4_K_M | 35.5 estimate |
| NVIDIA RTX 5090 | Q6_K | 41.0 estimate |
| AMD Radeon RX 7900 XTX | Q4_K_M | 35.6 estimate |
| Apple M4 Pro (20-core GPU) (64 GB) | Q8_0 | 6.6 estimate |
| Apple M3 Max (40-core GPU) (64 GB) | Q8_0 | 9.7 estimate |
| AMD Ryzen AI Max+ 395 (Radeon 8060S) | Q8_0 | 6.0 estimate |
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