Training a small model with 3.21 million parameters from scratch: Understanding the training process of Transformer using MLX

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On September 7, 2026, Rare Earth Gold released a report explaining how to train a smaller model with 3.21 million parameters using the MLX framework from scratch. The report provided detailed explanations of the specific process and implementation details for training Transformer models using MLX, aiming to help readers understand the underlying mechanisms.

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2026-09-07 21:02The `GPT-6 Astra model was released, and OpenAI President Brockman confidently declared, “Welcome to the era of AGI.”
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2026-09-08 22:40① Nvidia CEO Jensen Huang posted that OpenAI’s GPT-6 Astra, released last week, was trained using approximately 100,000 NV Link 72 clusters, and he believes that General Artificial Intelligence (AGI) has officially arrived; ② GPT-6 Astra can directly operate computers and software to perform complex tasks such as programming, reaching the most advanced level in multiple fields. OpenAI has announced the beginning of the AGI era.

Key entitiesKEY ENTITIES

MLX

SignalsSIGNALS

Keyword heat

MLX1

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稀稀土掘金 zh 2026-09-07 22:13

The author used MLX to train a small model with 3.21 million parameters from scratch, aiming to answer questions regarding the specific manifestations of token input, 4-layer structure, 256 dimensions, and 4 attention heads in the Transformer architecture, as well as the weight modification mechanism and inference saving process. The article details these technical details through this practice, helping readers understand the principles of large model training.