FitMyLLM
Liquid AI/Dense

Liquid AILFM3-VL 2B

LFM3-VL 2B — Liquid AI's LFM3 vision-language model, the first LFM vision model to take video as well as images, with a thinking mode for charts, maths and spatial questions. Built on LFM3 1.7B with a new in-house vision encoder.

chatvisionreasoningmultilingual
1.92B
Parameters
125K
Context length
3
Benchmarks
6
Quantizations
11K
HF downloads
Architecture
Dense
Released
2026-10-27
Layers
24
KV Heads
4
Head Dim
128
Family
lfm

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
1.8 GB
1.7 + 0.1 KV
good
Q5_K_S5.57
2.0 GB
1.8 + 0.1 KV
good
Q5_K_M5.7
2.0 GB
1.9 + 0.1 KV
good
Q6_K6.56
2.2 GB
2.1 + 0.1 KV
excellent
Q8_08.5
2.7 GB
2.5 + 0.1 KV
lossless
FP1616
4.5 GB
4.3 + 0.1 KV
lossless

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

Deploying for a team or in production? Size GPUs, cost & scaling in Enterprise →
▸ READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN LFM3-VL 2B NOW

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

Community Ratings

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Benchmarks (3)

MMBench86.1
MMMU55.7
MMMU Pro45.7

Run this model

▸Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run lfm3-vl:2b-q4_K_M

Downloads and runs automatically. Add --verbose for speed stats.

▸ 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 LFM3-VL 2B

Build Hardware for LFM3-VL 2B
▸ SPEC SHEET

LFM3-VL 2B — 1.92B Dense.

▸ SPECIFICATIONS
PARAMETERS
1.92B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
125K tokens
CAPABILITIES
chat, vision, reasoning, multilingual
RELEASE DATE
2026-10-27
PROVIDER
Liquid AI
FAMILY
lfm
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.891.7 GB94%
Q5_K_S5.571.8 GB96%
Q5_K_M5.71.9 GB96%
Q6_K6.562.1 GB97%
Q8_08.52.5 GB100%
FP16164.3 GB100%
§ 01BENCHMARK SCORES
MMMU55.7
MMBench86.1
mmmu_pro45.7
§ 02RUN COMMAND

Run LFM3-VL 2B locally with Ollama — needs 1.7 GB VRAM at Q4_K_M:

$ollama run lfm3-vl:2b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M