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.gitignore
vendored
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.gitignore
vendored
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# Logs
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logs
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*.log
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*.local
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# Editor directories and files
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.vscode/*
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!.vscode/extensions.json
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.idea
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.DS_Store
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checkpoints/*
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!checkpoints/README.md
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README.md
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README.md
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# Grok-1
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**英文文档** [中文文档](./README_CN.md)
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This repository contains JAX example code for loading and running the Grok-1 open-weights model.
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Make sure to download the checkpoint and place `ckpt-0` directory in `checkpoints`.
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Make sure to download the checkpoint and place the `ckpt-0` directory in `checkpoints` - see [Downloading the weights](#downloading-the-weights)
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Then, run
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```shell
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@ -19,15 +18,38 @@ The script loads the checkpoint and samples from the model on a test input.
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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.
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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.
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## Downloading the weights
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# Model Specifications
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Grok-1 is currently designed with the following specifications:
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- **Parameters:** 314B
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- **Architecture:** Mixture of 8 Experts (MoE)
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- **Experts Utilization:** 2 experts used per token
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- **Layers:** 64
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- **Attention Heads:** 48 for queries, 8 for keys/values
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- **Embedding Size:** 6,144
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- **Tokenization:** SentencePiece tokenizer with 131,072 tokens
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- **Additional Features:**
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- Rotary embeddings (RoPE)
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- Supports activation sharding and 8-bit quantization
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- **Maximum Sequence Length (context):** 8,192 tokens
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# Downloading the weights
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You can download the weights using a torrent client and this magnet link:
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```shell
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```
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magnet:?xt=urn:btih:5f96d43576e3d386c9ba65b883210a393b68210e&tr=https%3A%2F%2Facademictorrents.com%2Fannounce.php&tr=udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce
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```
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## License
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or directly using [HuggingFace 🤗 Hub](https://huggingface.co/xai-org/grok-1):
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```
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git clone https://github.com/xai-org/grok-1.git && cd grok-1
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pip install huggingface_hub[hf_transfer]
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huggingface-cli download xai-org/grok-1 --repo-type model --include ckpt-0/* --local-dir checkpoints --local-dir-use-symlinks False
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```
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# License
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The code and associated Grok-1 weights in this release are licensed under the
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Apache 2.0 license. The license only applies to the source files in this
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README_CN.md
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README_CN.md
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# grok-1
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[English Document](./README.md) **Chinese Document**
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该存储库包含用于加载和运行 `Grok-1` 开放权重模型的 `JAX` 示例代码。
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确保下载检查点并将 `ckpt-0` 目录放置在 `checkpoints` 中。
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然后,运行
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```shell
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pip install -r requirements.txt
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python run.py
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```
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测试代码。
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该脚本在测试输入上加载模型中的检查点和样本。
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由于模型规模较大(314B参数),需要有足够GPU内存的机器才能使用示例代码测试模型。
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该存储库中 `MoE 层` 的实现效率不高。选择该实现是为了避免需要自定义内核来验证模型的正确性。
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## 下载权重
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您可以使用 `torrent` 客户端和此磁力链接下载权重:
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```shell
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magnet:?xt=urn:btih:5f96d43576e3d386c9ba65b883210a393b68210e&tr=https%3A%2F%2Facademictorrents.com%2Fannounce.php&tr=udp%3A%2F%2Ftracker.coppersurfer.tk%3A6969&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce
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```
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## 执照
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此版本中的代码和相关 `Grok-1` 权重已获得许可 `Apache 2.0` 许可证。
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该许可证仅适用于本文件中的源文件 `Grok-1` 的存储库和模型权重。
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