Loading…
Loading…
Models / F2LLM-v2
GPU memory needed (smallest version of each): F2LLM-v2 0.6B about 4.6 GB. The cheapest runs on GTX 1660 SUPER from $0.08/h right now.
1 model (0.6B) · ↓ 13.1K downloads a month · from $0.08/h on GTX 1660 SUPER right now. Each model's versions do the same job; quantized ones (AWQ, FP8, 4-bit) need less GPU memory and run on cheaper machines.
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| F2LLM v2 0.6Bcodefuse-ai/F2LLM-v2-0.6B | ONNX Runtime | 2.4 GB | 4.6 GB | $0.08/h GTX 1660 SUPER |
Model details come from Hugging Face and are refreshed daily; prices follow the live offers. GPU memory is GridPup's estimate: the weights, room for an 8,192-token conversation (chat models) and the runtime's own memory. Large models are split across the GPUs of one machine ("4x RTX 4090").