---
title: LiquidAI/LFM2.5-24B-A2B
url: https://recentmodel.com/models/LiquidAI/LFM2.5-24B-A2B/
status: main board
published: 2026-10-12T05:35:46Z
updated: 2026-10-12T05:35:46Z
source: https://huggingface.co/LiquidAI/LFM2.5-24B-A2B
---

# LiquidAI/LFM2.5-24B-A2B

LFM2.5-24B-A2B is a 24B-parameter reasoning model with only 2B active parameters, built for fast, private agents on-device. Mixture-of-experts, 24B total, 2B active (64 experts, 4 per token). Context: 128K tokens (config). License: lfm1.0.


- **Org:** LiquidAI
- **Released:** 2026-10-12
- **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:** 579 HF likes · 20480 downloads · 19 X likes · 3 X post(s)

## Runs on

real quant files; sizing calculation, not tested.

- Q4 ~16.2 GB: 24GB GPU (3090 / 4090), 24GB GPU (7900 XTX), Mac 24GB, Mac 36GB, CPU only, 32GB RAM (slow)
- Q8 ~27.2 GB: 32GB GPU (5090), 48GB GPU (RTX 6000 Ada / A6000), Arc B70 32GB, Mac 48GB, Mac 64GB (M1 Max)
- FP16 ~49.7 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

- [Hugging Face](https://huggingface.co/LiquidAI/LFM2.5-24B-A2B)
- [Ollama](https://ollama.com/library/lfm2.5)
- [quant: LiquidAI/LFM2.5-24B-A2B-FP8](https://huggingface.co/LiquidAI/LFM2.5-24B-A2B-FP8)
- [GGUF: LiquidAI/LFM2.5-24B-A2B-GGUF](https://huggingface.co/LiquidAI/LFM2.5-24B-A2B-GGUF)
- [MLX: LiquidAI/LFM2.5-24B-A2B-MLX-4bit](https://huggingface.co/LiquidAI/LFM2.5-24B-A2B-MLX-4bit)
- [MLX: LiquidAI/LFM2.5-24B-A2B-MLX-5bit](https://huggingface.co/LiquidAI/LFM2.5-24B-A2B-MLX-5bit)
- [MLX: LiquidAI/LFM2.5-24B-A2B-MLX-6bit](https://huggingface.co/LiquidAI/LFM2.5-24B-A2B-MLX-6bit)
- [MLX: LiquidAI/LFM2.5-24B-A2B-MLX-8bit](https://huggingface.co/LiquidAI/LFM2.5-24B-A2B-MLX-8bit)
- [MLX: LiquidAI/LFM2.5-24B-A2B-MLX-bf16](https://huggingface.co/LiquidAI/LFM2.5-24B-A2B-MLX-bf16)
- [quant: LiquidAI/LFM2.5-24B-A2B-ONNX](https://huggingface.co/LiquidAI/LFM2.5-24B-A2B-ONNX)
- [GGUF: bartowski/LFM2.5-24B-A2B-GGUF](https://huggingface.co/bartowski/LFM2.5-24B-A2B-GGUF)
- [GGUF: ggml-org/LFM2.5-24B-A2B-GGUF](https://huggingface.co/ggml-org/LFM2.5-24B-A2B-GGUF)
- [MLX: mlx-community/LFM2.5-24B-A2B-OptiQ-4bit](https://huggingface.co/mlx-community/LFM2.5-24B-A2B-OptiQ-4bit)
- [Unsloth: unsloth/LFM2.5-24B-A2B](https://huggingface.co/unsloth/LFM2.5-24B-A2B)