LiquidAI/LFM2.5-24B-A2B-Base
main boardmodel
LFM2.5 is a new family of hybrid models designed for on-device deployment. Mixture-of-experts, 24B total, 2B active (64 experts, 4 per token). Context: 128K tokens (config). License: lfm1.0.
- Org
- LiquidAI
- Released
- 2026-10-09
- Status
- main board
- License
- lfm1.0 (restricted)
- Parameters
- 24.0B total, 2.0B active
- Architecture
- MoE · 64 experts, 4/token · Lfm2MoeForCausalLM
- Context
- 131,072 tokens
- Task
- text-generation · text
- Signal
- 38 HF likes · 1516 downloads
Runs on
mixed: real files + estimate; need = weights + FP16 KV cache for 8K tokens + 1GB. A sizing calculation, not tested.
- Q4 ~16.1 GB (estimated size): 24GB GPU (3090 / 4090), 24GB GPU (7900 XTX), Mac 24GB, Mac 36GB, CPU only, 32GB RAM (slow)
- Q8 ~27.2 GB (estimated size): 32GB GPU (5090), 48GB GPU (RTX 6000 Ada / A6000), Arc B70 32GB, Mac 48GB, Mac 64GB (M1 Max)
- FP16 ~49.6 GB: 96GB GPU (RTX Pro 6000 Blackwell), 1× DGX Spark (128GB), 2× DGX Spark (256GB), Strix Halo 128GB unified (~96GB usable), Mac 96GB, Mac 128GB, Mac 192GB, Mac 256GB, Mac 512GB, CPU only, 64GB RAM (slow), CPU only, 128GB RAM (slow), CPU only, 256GB RAM (slow)
Links
First published here 2026-10-09 · updated 2026-10-09 · markdown · JSON