mbzuai-oryx/MobiLlama

MobiLlama is a small language model designed for edge devices, according to its repository description.

github.com/mbzuai-oryx/MobiLlama
mbzuai-oryx/MobiLlama homepage screenshot

About mbzuai-oryx/MobiLlama

MobiLlama is an open-source small language model (SLM) developed by Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI) and Linköping University, accepted as a spotlight paper at the ICLR 2025 SLLM Workshop, designed for deployment on resource-constrained edge devices. It uses a parameter sharing scheme adapted from a LLaMA-7B-style architecture to lower pre-training and deployment costs while maintaining performance.

The model is available in 0.5B, 0.8B, and 1B parameter sizes, with dedicated chat variants for each size, and is released under the Apache 2.0 license. Pre-trained models, training code, evaluation scripts, and intermediate training checkpoints are publicly available via its GitHub repository and Hugging Face.

Key features

  • Built on LLaMA-7B architecture with parameter sharing for efficiency
  • Available in 0.5B, 0.8B, and 1B parameter sizes
  • Includes chat-specific versions for each model size
  • Released under the open-source Apache 2.0 license
  • Public pre-trained models and training code available
  • Supports loading intermediate training checkpoints
Best for: Researchers and developers building on-device AI for resource-constrained hardware, such as mobile or IoT devices, benefit most from MobiLlama.
Good for
  • Fully transparent open-source design with public code and model access
  • Optimized for low resource usage for edge device deployment
  • Multiple model sizes to fit varying edge hardware constraints
Watch out for
  • Full pre-training requires 20 A100 80GB GPU nodes
  • Preprocessed training dataset totals approximately 8TB
  • Currently only supports English language tasks

mbzuai-oryx/MobiLlama at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Yes · Source code
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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mbzuai-oryx/MobiLlama FAQ

What parameter sizes is MobiLlama available in?
MobiLlama is available in 0.5B, 0.8B, and 1B parameter sizes, with chat variants for each size.
What license governs MobiLlama use?
MobiLlama is released under the Apache 2.0 license.
What hardware is required to pre-train MobiLlama?
Full pre-training requires 20 nodes of A100 80GB GPUs, per the provided pre-training script.
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