Liquid AI/Dense

Liquid AILFM2-VL 1.6B

LFM2‑VL is Liquid AI's first series of multimodal models, designed to process text and images with variable resolutions. Built on the LFM2 backbone, it is optimized for low-latency and edge AI applications.

chatvision
1.6B
Parameters
125K
Context length
1
Benchmarks
6
Quantizations
0
Architecture
Dense
Released
2026-03-01
Layers
16
KV Heads
8
Head Dim
64
Family
lfm

Quantization Options

QuantBitsVRAMQuality
Q4_K_M4.891.5 GBgood
Q5_K_S5.571.6 GBgood
Q5_K_M5.71.6 GBgood
Q6_K6.561.8 GBexcellent
Q8_08.52.2 GBlossless
FP16163.7 GBlossless

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

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Community Ratings

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Benchmarks (1)

MMMU39.7

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run lfm:2b-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 C870
2 GB VRAM • 76.8 GB/s
NVIDIA
NVIDIA Tesla D870
2 GB VRAM • 76.8 GB/s
NVIDIA
NVIDIA Tesla S870
2 GB VRAM • 76.8 GB/s
NVIDIA

Find the best GPU for LFM2-VL 1.6B

Build Hardware for LFM2-VL 1.6B
▸ SPEC SHEET

LFM2-VL 1.6B1.6B Dense.

▸ SPECIFICATIONS
PARAMETERS
1.6B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
125K tokens
CAPABILITIES
chat, vision
RELEASE DATE
2026-03-01
PROVIDER
Liquid AI
FAMILY
lfm
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.891.5 GB94%
Q5_K_S5.571.6 GB96%
Q5_K_M5.71.6 GB96%
Q6_K6.561.8 GB97%
Q8_08.52.2 GB100%
FP16163.7 GB100%
§ 01BENCHMARK SCORES
MMMU39.7