grok-1

GitHub describes it as Grok open release. The repository metadata lists Python as its primary language. The metadata lists the Apache-2.0 license. This article stays within the project description and details documented in the GitHub repository README.

GitHub describes it as Grok open release. The repository metadata lists Python as its primary language. The metadata lists the Apache-2.0 license. The README describes the project this way: This repository contains JAX example code for loading and running the Grok-1 open-weights model.

The README section "Grok-1" states: Make sure to download the checkpoint and place the ckpt-0 directory in checkpoints - see Downloading the weights

The README section "Grok-1" states: Due to the large size of the model (314B parameters), a machine with enough GPU memory is required to test the model with the example code. The implementation of the MoE layer in this repository is not efficient. The implementation was chosen to avoid the need for custom kernels to validate the correctness of the model.

The README section "Model Specifications" states: - Parameters: 314B - Architecture: Mixture of 8 Experts (MoE) - Experts Utilization: 2 experts used per token - Layers: 64 - Attention Heads: 48 for queries, 8 for keys/values - Embedding Size: 6,144 - Tokenization: SentencePiece tokenizer with 131,072 tokens - Additional Features: - Rotary embeddings (RoPE) - Supports activation sharding and 8-bit quantization - Maximum Sequence Length (context): 8,192 tokens

The repository README is the source for this review. It does not replace a local installation or an independent test.

• Source 1 · Project repository
• Source 2 · README