FitMyLLM
Liquid AI/Dense

Liquid AILFM2.5-VL 3B

LFM2.5-VL 3B — Liquid AI's on-device vision-language model: the LFM2.5-2.6B backbone with a SigLIP2 NaFlex encoder, strong at OCR, grounding and object detection. 32K context.

chatvisionmultilingualtool_use
3.12B
Parameters
32K
Context length
3
Benchmarks
6
Quantizations
31K
HF downloads
Architecture
Dense
Released
2026-08-12
Layers
30
KV Heads
8
Head Dim
64
Family
lfm

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
2.6 GB
2.4 + 0.2 KV
good
Q5_K_S5.57
2.8 GB
2.7 + 0.2 KV
good
Q5_K_M5.7
2.9 GB
2.7 + 0.2 KV
good
Q6_K6.56
3.2 GB
3.0 + 0.2 KV
excellent
Q8_08.5
4.0 GB
3.8 + 0.2 KV
lossless
FP1616
6.9 GB
6.7 + 0.2 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 (3)

MMBench81.0
MMMU48.4
MMMU Pro30.5

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 LFM2.5-VL 3B

Build Hardware for LFM2.5-VL 3B
▸ SPEC SHEET

LFM2.5-VL 3B — 3.12B Dense.

▸ SPECIFICATIONS
PARAMETERS
3.12B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
32K tokens
CAPABILITIES
chat, vision, multilingual, tool_use
RELEASE DATE
2026-08-12
PROVIDER
Liquid AI
FAMILY
lfm
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.892.4 GB94%
Q5_K_S5.572.7 GB96%
Q5_K_M5.72.7 GB96%
Q6_K6.563.0 GB97%
Q8_08.53.8 GB100%
FP16166.7 GB100%
§ 01BENCHMARK SCORES
MMMU48.4
MMBench81.0
mmmu_pro30.5
§ 03COMPATIBLE GPUs
30 @ Q4_K_M