Models › LFM2.5-24B-A2B
LFM2.5-24B-A2B: VRAM needs and speed by GPU
At UD-Q4_K_XL, LFM2.5-24B-A2B needs about 16.3 GB of VRAM. No measured runs yet. Speeds below are estimates. Submit a run.
23.97B parameters (mixture-of-experts, ~2.0B active) · license: other · 131,072-token context · GGUF published Oct 13, 2026 · GGUF files on Hugging Face
Memory needed per quantization
| Quant | File size | Needs (estimate) | Smallest card it fits |
|---|---|---|---|
| UD-IQ2_XXS | 7.5 GB | 8.9 GB | 12 GB cards |
| UD-IQ2_M | 7.5 GB | 8.9 GB | 12 GB cards |
| UD-Q2_K_XL | 8.0 GB | 9.4 GB | 12 GB cards |
| UD-IQ3_XXS | 9.0 GB | 10.4 GB | 12 GB cards |
| UD-Q3_K_XL | 10.9 GB | 12.3 GB | 16 GB cards |
| UD-Q4_K_XL | 14.9 GB | 16.3 GB | 24 GB cards |
| UD-Q5_K_XL | 17.9 GB | 19.3 GB | 24 GB cards |
| UD-Q6_K_XL | 21.9 GB | 23.3 GB | 24 GB cards |
| Q8_0 | 25.5 GB | 26.9 GB | 32 GB cards |
| BF16 | 48.0 GB | 49.4 GB | 96 GB cards |
Expected speed on popular hardware
| Hardware | Best quant that fits | Expected tok/s |
|---|---|---|
| NVIDIA RTX 3060 | UD-IQ3_XXS | 206 estimate |
| NVIDIA RTX 4060 Ti | Does not fit | |
| NVIDIA RTX 3090 | UD-IQ3_XXS | 439 estimate |
| NVIDIA RTX 4090 | UD-IQ3_XXS | 487 estimate |
| NVIDIA RTX 5090 | Q8_0 | 270 estimate |
| AMD Radeon RX 7900 XTX | UD-IQ3_XXS | 489 estimate |
| Apple M4 Pro (20-core GPU) (64 GB) | Q8_0 | 54.5 estimate |
| Apple M3 Max (40-core GPU) (64 GB) | Q8_0 | 79.6 estimate |
| AMD Ryzen AI Max+ 395 (Radeon 8060S) | Q8_0 | 48.9 estimate |
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