LFM3 Omni 2B
Parameters
2B
Context Length
128K
Modality
Text
Architecture
Dense
License
other
Release Date
21 Oct 2026
Knowledge Cutoff
-
API Pricing (per 1M)
Self-hosted only
System Requirements
VRAM requirements for different quantization methods and context sizes
1,024 tokens
Consumer
1x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
128,000 tokens
Consumer
1x RTX 4090
24GB VRAM
Datacenter
1x NVIDIA A100
80GB VRAM
Apple Silicon
1x Apple M3 Max
128GB VRAM
Architecture Diagram
Evaluation Benchmarks
No evaluation benchmarks for LFM3 Omni 2B available.
Rankings
Overall Rank
-
Coding Rank
-
About LFM3 Omni 2B
LFM3 Omni 2B is a multimodal foundation model from Liquid AI incorporating liquid neural network principles for real-time omni-modal processing. It handles concurrent text, vision, and audio reasoning on device-level hardware.
Technical Specifications
Attention
Attention Structure
Grouped-Query Attention
Attention Heads
16
Key-Value Heads
4
Attention Head Dimension
128
Position Embedding
ROPE
RoPE Theta
1,000,000
Sliding Window Attention
Yes
Sliding Window Size
256
Sliding Window Ratio
20.8%
Linear Attention
Yes
Linear Attention Ratio
54.2%
Normalization
RMS Normalization
Activation Function
SwigLU
Dimensions
Hidden Dimension Size
2,048
Number of Layers
24
FFN Intermediate Size (Dense)
7,680
Tokenizer
Vocabulary Size
128,000
Resources
About LFM3
The LFM3 model family developed by Liquid AI.