Liquid AI/Dense

Liquid AILFM2 2.6B

LFM2 is a new generation of hybrid models developed by Liquid AI, specifically designed for edge AI and on-device deployment. It sets a new standard in terms of quality, speed, and memory efficiency.

chattool_usemultilingual
2.6B
Parameters
125K
Context length
13
Benchmarks
6
Quantizations
0
Architecture
Dense
Released
2025-08-20
Layers
30
KV Heads
8
Head Dim
64
Family
lfm

Quantization Options

QuantBitsVRAMQuality
Q4_K_M4.892.1 GBgood
Q5_K_S5.572.3 GBgood
Q5_K_M5.72.3 GBgood
Q6_K6.562.6 GBexcellent
Q8_08.53.3 GBlossless
FP16165.7 GBlossless

Select your GPU above to see speed estimates and compatibility for each quantization.

READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN LFM2 2.6B NOW

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

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Benchmarks (13)

IFEval79.6
GPQA Diamond30.6
GPQA26.6
IFBench19.5
τ²-Bench13.5
AIME8.3
AA Math8.3
LiveCodeBench8.1
AA Intelligence8.0
HLE5.2
SciCode2.5
AA Coding1.4
Terminal-Bench0.8

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run lfm:3b-q4_K_M

Tag may need adjustment — check ollama.com/library/lfm for available tags.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA Tesla C2050
3 GB VRAM • 144 GB/s
NVIDIA
NVIDIA Tesla M2050
3 GB VRAM • 148 GB/s
NVIDIA
NVIDIA Tesla S2050
3 GB VRAM • 148 GB/s
NVIDIA

Find the best GPU for LFM2 2.6B

Build Hardware for LFM2 2.6B
▸ SPEC SHEET

LFM2 2.6B2.6B Dense.

▸ SPECIFICATIONS
PARAMETERS
2.6B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
125K tokens
CAPABILITIES
chat, tool_use, multilingual
RELEASE DATE
2025-08-20
PROVIDER
Liquid AI
FAMILY
lfm
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.892.1 GB94%
Q5_K_S5.572.3 GB96%
Q5_K_M5.72.3 GB96%
Q6_K6.562.6 GB97%
Q8_08.53.3 GB100%
FP16165.7 GB100%
§ 01BENCHMARK SCORES
IFEval79.6
GPQA26.6
GPQA Diamond30.6
LiveCodeBench8.1
AIME8.3
HLE5.2
AA Intelligence8.0
AA Coding1.4
AA Math8.3
aa_ifbench19.5
aa_terminal_bench0.8
aa_tau213.5
aa_scicode2.5