Instructions to use vikramlingam/Ensemble-MLX-Vault with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use vikramlingam/Ensemble-MLX-Vault with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Ensemble-MLX-Vault vikramlingam/Ensemble-MLX-Vault
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
metadata
license: other
base_model: mlx-community
tags:
- mlx
- mobile-optimized
- ensemble-ai
Ensemble MLX Vault
⚠️ Important Legal & Usage Notice
This repository is a Private Personal Storage Vault
Sourcing & Ownership
- Not an Original Creator: The models stored in this repository are NOT created, trained, or owned by the owner of this repository.
- Sourced from MLX-Community: All models are redistributed from the MLX-Community organization on Hugging Face.
- Purpose: This repository serves as a optimized, mobile-ready mirror of specific 4-bit quantized versions to ensure consistent and fast access.
Compliance & Licenses
The weights in this repository are subject to the original licenses provided by their respective authors (Meta, Google, Mistral, Microsoft, Sarvam AI, Alibaba/Qwen, etc.).
- Users must adhere to the individual model licenses (e.g., Llama 3.2 Community License, Apache 2.0, MIT) as defined by the original creators.
- This repository is provided "as is" without any warranties.
Repository Overview
This vault contains 30 model snapshots, each optimized for Apple Silicon via the MLX framework.
Selection Criteria:
- Size: Strictly under 4 Billion parameters.
- Quantization: 4-bit (Safetensors).
- Weight Limit: Every model folder is < 3.5GB.
Key Included Series:
- Qwen 3.5 / 2.5 (VL, Coder, and Base)
- Gemma 3 / 2 (Vision and Text)
- Llama 3.2 / DeepSeek R1 (Instruct and Reasoning)
- Sarvam AI (Indic and Translation)
- Phi 4 / 3.5 / 2
- SmolLM2 / Danube / Falcon 3
Sync Status
Last Synchronized: March 10, 2026. Contact: via Private Message on HF for access inquiries for the Ensemble AI team.