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kshitijthakkar/lfm25-mobile-actions-cactus
lfm25-mobile-actions-cactus is a machine learning model from kshitijthakkar. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for cactus. The card lists the license as apache-2.0.
Pre-converted weights for LiquidAI/LFM2.5-1.2B-MobileActions in Cactus format for on-device inference.
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Updated Feb 23, 2026
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From the Hugging Face model README
Pre-converted weights for LiquidAI/LFM2.5-1.2B-MobileActions in Cactus format for on-device inference.
| Property | Value |
|---|---|
| Architecture | LFM2 (Liquid Foundation Model 2.5) |
| Parameters | ~1.2B |
| Hidden Dim | 2,048 |
| Layers | 16 (mixed conv + full attention) |
| Attention Heads | 32 (8 KV heads) |
| FFN Dim | 12,288 |
| Context Length | 128,000 tokens |
| Precision | FP16 |
| Vocab Size | 65,536 |
| Layer Types | Conv (0,1,3,4) + Full Attention (2,5,7,9,11,13,15) |
These weights are in Cactus binary format (.weights files + config.txt), converted from HuggingFace safetensors using the Cactus Python conversion pipeline.
This is not a standard HuggingFace Transformers model. It is designed to be loaded directly by the Cactus C++ inference engine for mobile and edge deployment (iOS, Android, macOS, Linux ARM64).
Download the entire repo and point Cactus to the directory:
# Clone weights
git clone https://huggingface.co/kshitijthakkar/lfm25-mobile-actions-cactus
# Use with Cactus engine
cactus run ./lfm25-mobile-actions-cactus
Converted using the Cactus Python converter from the original safetensors:
cactus convert LiquidAI/LFM2.5-1.2B-MobileActions ./output --precision FP16
See the original model card for license details.