Update README.md

[imthegoodboy]

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[sahiee-dev]

@imthegoodboy
Need Some Improvements

The updates significantly improve the structure of the Grok-1 documentation. Given the scale of this model (314B parameters), here are a few technical suggestions to improve clarity and prevent common user issues:

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1. Technical Specification Scannability

The current list contains some redundant formatting (double colons). Replacing the list with a table makes it much easier for researchers to reference at a glance:

Feature	Specification
Parameters	314B
Architecture	Mixture of Experts (MoE)
Active Experts	2/8 (2 experts used per token)
Context Length	8,192 tokens
Embedding Size	6,144
Tokenizer	SentencePiece (131,072 tokens)

2. Hardware Requirements Disclosure

While "ample VRAM" is mentioned, users may not realize the exact threshold for a model of this magnitude.

• Suggestion: Explicitly state that loading the model in FP16/BF16 requires approximately ~630GB of VRAM. This clarifies that the code requires a multi-GPU cluster (e.g., 8x A100 80GB or 8x H100) to run, which will help reduce "Out of Memory" issues being reported as bugs.

3. Expected Checkpoint Structure

To ensure the run.py script works out of the box for users, adding a directory tree visualization would be helpful:

checkpoints/
└── ckpt-0/
    ├── [weight_files].jax
    └── tokenizer.model

4. Documentation Polish

• Typo Fix: In the "Downloading the Weights" section, the header contains a typo: wWeights. It should be corrected to Weights.

• Environment Best Practices: In the "Quick Start," it might be worth suggesting the use of a virtual environment (python -m venv venv) before installing dependencies to avoid JAX/CUDA version conflicts.

• Storage Note: Mentioning that the total disk footprint (download + extraction) is over 300GB would be a helpful "Quality of Life" tip for users.

[imthegoodboy]

burhh fr