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README.md
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license: apache-2.0
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---
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# Grok-1
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Make sure to download the `int8` checkpoint to the `checkpoints` directory and run
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Due to the large size of the model (314B parameters), a multi-GPU machine is required to test the model with the example code.
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p.s. we're hiring: https://x.ai/
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license: apache-2.0
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---
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# Grok-1
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---
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_This repository contains the weights of the Grok-1 open-weights model._
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**To get started with using the model, follow the instructions at** `github.com/xai-org/grok.`
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![The cover image was generated using Midjourney based on the following prompt proposed by Grok: A 3D illustration of a neural network, with transparent nodes and glowing connections, showcasing the varying weights as different thicknesses and colors of the connecting lines.](./model_logo.png)
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<small>The cover image was generated using [Midjourney](midjourney.com) based on the following prompt proposed by Grok: A 3D illustration of a neural network, with transparent nodes and glowing connections, showcasing the varying weights as different thicknesses and colors of the connecting lines.</small>
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---
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ββββββββββββββββββββββββββββ
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β _______ β
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β /\ |_ _| β
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β __ __ / \ | | β
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β \ \/ / / /\ \ | | β
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β > < / ____ \ _| |_ β
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β /_/\_\/_/ \_\_____| β
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β β
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β Understand the Universe β
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β [https://x.ai] β
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ββββββββββββββββββββββββββββ
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βββββββββββββββββββββ
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β xAI Grok-1 (314B) β
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βββββββββββββββββββββ
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ββββββββββββββββββββββββββββββββββββββββββββββ
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β 314B parameter Mixture of Experts model β
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β - Base model (not finetuned) β
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β - 8 experts (2 active) β
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β - 86B active parameters β
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β - Apache 2.0 license β
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β - Code: https://github.com/xai-org/grok-1 β
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β - Happy coding! β
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ββββββββββββββββββββββββββββββββββββββββββββββ
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## Model Configuration Details
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**Vocabulary Size**: 131,072
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**Special Tokens**:
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- Pad Token: 0
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- End of Sequence Token: 2
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**Sequence Length**: 8192
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### **Model Architecture**: MoE
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- **Embedding Size**: 6,144
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- Rotary Embedding (RoPE)
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- **Layers**: 64
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- **Experts**: 8
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- **Selected Experts**: 2
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- **Widening Factor**: 8
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- **Key Size**: 128
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- **Query Heads**: 48
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- **Key Value Heads**: 8
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- **Activation Sharding**: Data-wise, Model-wise
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- **Tokenizer** : SentencePiece tokenizer
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### **Inference Configuration**:
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- Batch Size per Device: 0.125
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- Tokenizer: `./tokenizer.model`
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- Local Mesh: 1x8
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- Between Hosts: 1x1
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## Inference Details
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Make sure to download the `int8` checkpoint to the `checkpoints` directory and run
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Due to the large size of the model (314B parameters), a multi-GPU machine is required to test the model with the example code.
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**p.s. we're hiring: https://x.ai/careers**
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model_logo.png
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Git LFS Details
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