FitMyLLM
Liquid AI/Dense

Liquid AILFM2 700M

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_use
0.74B
Parameters
125K
Context length
2
Benchmarks
6
Quantizations
0
Architecture
Dense
Released
2025-07-10
Layers
16
KV Heads
8
Head Dim
64
Family
lfm

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
1.3 GB
0.9 + 0.4 KV
good
Q5_K_S5.57
1.4 GB
1.0 + 0.4 KV
good
Q5_K_M5.7
1.4 GB
1.0 + 0.4 KV
good
Q6_K6.56
1.5 GB
1.1 + 0.4 KV
excellent
Q8_08.5
1.6 GB
1.3 + 0.4 KV
lossless
FP1616
2.3 GB
2.0 + 0.4 KV
lossless

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

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Community Ratings

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Benchmarks (2)

IFEval72.2
GPQA28.5

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run lfm:0.74b-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.

Find the best GPU for LFM2 700M

Build Hardware for LFM2 700M
▸ SPEC SHEET

LFM2 700M0.74B Dense.

▸ SPECIFICATIONS
PARAMETERS
0.74B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
125K tokens
CAPABILITIES
chat, tool_use
RELEASE DATE
2025-07-10
PROVIDER
Liquid AI
FAMILY
lfm
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.890.9 GB94%
Q5_K_S5.571.0 GB96%
Q5_K_M5.71.0 GB96%
Q6_K6.561.1 GB97%
Q8_08.51.3 GB100%
FP16162.0 GB100%
§ 01BENCHMARK SCORES
IFEval72.2
GPQA28.5
§ 03COMPATIBLE GPUs
30 @ Q4_K_M