Hugging Face AI Control Center

32GB Mac Optimized Environment | Master's AI Workflow

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1. Account & Security

Usage: Key management tokens and license tracking.

https://huggingface.co/login

Resource	Function	Link
Access Log In	Hugging Face – The AI community	huggingface.co/login
Access Tokens	API authentication for PySpark/Databricks.	Settings/Tokens
Gated Access	Meta, Stability, and Black Forest permission tracker.	Gated-Repos

2. Meta Llama Foundation Models

Usage: Primary reasoning engines for local agents and data pipelines.

Model Repo	Description	Direct Link	Status
Llama 3.2 3B Instruct	Lightweight, optimized for local Mac edge-inference.	meta-llama/Llama-3.2-3B-Instruct	ACCEPTED
Llama 3.0 8B Instruct	Standard baseline for RAG and complex tool calling.	meta-llama/Meta-Llama-3-8B-Instruct	ACCEPTED
Llama Guard 2 8B	Safety classifier for input/output monitoring.	meta-llama/Meta-Llama-Guard-2-8B	ACCEPTED

3. Image Generation (Gated)

Usage: High-fidelity diffusion for professional visual synthesis.

Model Family	Specific Model Repo	Status
Stable Diffusion 3.5	SD 3.5 Large | Turbo	ACCEPTED
FLUX.1	FLUX.1 [schnell]	ACCEPTED

4. Mac Optimization Stack

Usage: Performance frameworks for 32GB Unified Memory.

Framework	Benefit	Repo Link
Apple MLX-LM	Native Apple Silicon performance; bypasses PyTorch overhead.	MLX GitHub
TorchAO	Architecture optimization; enables INT4/FP8 on Mac GPU.	TorchAO GitHub

5. Sentence Transformers (NLP)

Usage: High-speed vectorization for RAG and PySpark pipelines.

Model	Strengths	Repo Link
all-MiniLM-L6-v2	The Speed King. Ultra-fast, low latency for RAG search.	MiniLM Hub
BGE-Large-en-v1.5	SOTA dense retrieval for large document databases.	BGE Hub