Any-to-Any
Transformers
Safetensors
lfm3_omni
image-text-to-text
liquid
lfm3
lfm3-omni
omni
audio
vision
speech-to-speech
edge
conversational
custom_code
Eval Results
Instructions to use LiquidAI/LFM3-Omni-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LiquidAI/LFM3-Omni-2B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForImageTextToText model = AutoModelForImageTextToText.from_pretrained("LiquidAI/LFM3-Omni-2B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
fast model on oMLX
#10 opened about 17 hours ago
by
brainworkup
Single-file CMF build for local inference (Rust; Vulkan, Metal, CPU)
#9 opened 1 day ago
by
infosave
interleaved mode supports multilingual?
1
#8 opened 2 days ago
by
kun432
LFM3 in Apollo: When?
#7 opened 3 days ago
by
DedeProGames
Apollo Android app
#6 opened 3 days ago
by
KeyboardMasher
good toy,not a tool
#5 opened 3 days ago
by
iceair323
Video timeline is compressed: a 62 s clip is described as ending at ~29 s (llama.cpp and Transformers)
#4 opened 4 days ago
by
Troylink
Add evaluation results
#3 opened 4 days ago
by
SaylorTwift
Does it really only have 32K context or is the model card wrong?
#2 opened 5 days ago
by
slightlyoutofphase
Demo for this model on Spaces
#1 opened 5 days ago
by
multimodalart