vikramlingam / Ensemble-MLX-Vault

huggingface.co
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Model's Last Updated: March 14 2026

Introduction of Ensemble-MLX-Vault

Model Details of Ensemble-MLX-Vault

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:
  1. Size : Strictly under 4 Billion parameters.
  2. Quantization : 4-bit (Safetensors).
  3. 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.

Runs of vikramlingam Ensemble-MLX-Vault on huggingface.co

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More Information About Ensemble-MLX-Vault huggingface.co Model

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Ensemble-MLX-Vault huggingface.co

Ensemble-MLX-Vault huggingface.co is an AI model on huggingface.co that provides Ensemble-MLX-Vault's model effect (), which can be used instantly with this vikramlingam Ensemble-MLX-Vault model. huggingface.co supports a free trial of the Ensemble-MLX-Vault model, and also provides paid use of the Ensemble-MLX-Vault. Support call Ensemble-MLX-Vault model through api, including Node.js, Python, http.

vikramlingam Ensemble-MLX-Vault online free

Ensemble-MLX-Vault huggingface.co is an online trial and call api platform, which integrates Ensemble-MLX-Vault's modeling effects, including api services, and provides a free online trial of Ensemble-MLX-Vault, you can try Ensemble-MLX-Vault online for free by clicking the link below.

vikramlingam Ensemble-MLX-Vault online free url in huggingface.co:

https://huggingface.co/vikramlingam/Ensemble-MLX-Vault

Ensemble-MLX-Vault install

Ensemble-MLX-Vault is an open source model from GitHub that offers a free installation service, and any user can find Ensemble-MLX-Vault on GitHub to install. At the same time, huggingface.co provides the effect of Ensemble-MLX-Vault install, users can directly use Ensemble-MLX-Vault installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Ensemble-MLX-Vault install url in huggingface.co:

https://huggingface.co/vikramlingam/Ensemble-MLX-Vault

Url of Ensemble-MLX-Vault

Ensemble-MLX-Vault huggingface.co Url

Provider of Ensemble-MLX-Vault huggingface.co

vikramlingam
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