This repository contains the DeepSeek-V3 language model project and related source files.
mbzuai-oryx/MobiLlama
MobiLlama is a small language model designed for edge devices, according to its repository description.

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
- 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
- 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
- Category
- AI & Machine Learning › Models & ML Research
- 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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