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README.md

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----
-library_name: transformers
-tags:
-- tokenizers
-- sglang
-license: other
-license_name: grok-2
-license_link: https://huggingface.co/xai-org/grok-2/blob/main/LICENSE
----
-
-# Grok-2 Tokenizer
-
-A 🤗-compatible version of the **Grok-2 tokenizer** (adapted from [xai-org/grok-2](https://huggingface.co/xai-org/grok-2)).
-
-This means it can be used with Hugging Face libraries including [Transformers](https://github.com/huggingface/transformers),
-[Tokenizers](https://github.com/huggingface/tokenizers), and [Transformers.js](https://github.com/xenova/transformers.js).
-
-## Motivation
-
-As Grok 2.5 aka. [xai-org/grok-2](https://github.com/xai-org/grok-2) has been recently released on the 🤗 Hub with [SGLang](https://github.com/sgl-project/sglang)
-native support, but the checkpoints on the Hub won't come with a Hugging Face compatible tokenizer, but rather with a `tiktoken`-based
-JSON export, which is [internally read and patched in SGLang](https://github.com/sgl-project/sglang/blob/fd71b11b1d96d385b09cb79c91a36f1f01293639/python/sglang/srt/tokenizer/tiktoken_tokenizer.py#L29-L108).
-
-This repository then contains the Hugging Face compatible export so that users can easily interact and play around with the Grok-2 tokenizer,
-besides that allowing to use it via SGLang without having to pull the repository manually from the Hub and then using a mount, to prevent from directly having
-to point to the tokenizer path, so that Grok-2 can be deployed as:
-
-```bash
-python3 -m sglang.launch_server --model-path xai-org/grok-2 --tokenizer-path alvarobartt/grok-2-tokenizer --tp-size 8 --quantization fp8 --attention-backend triton
-```
-
-Rather than the former 2-step process:
-
-```bash
-hf download xai-org/grok-2 --local-dir /local/grok-2
-
-python3 -m sglang.launch_server --model-path /local/grok-2 --tokenizer-path /local/grok-2/tokenizer.tok.json --tp-size 8 --quantization fp8 --attention-backend triton
-```
-
-## Example
-
-```py
-from transformers import AutoTokenizer
-
-tokenizer = AutoTokenizer.from_pretrained("alvarobartt/grok-2-tokenizer")
-
-assert tokenizer.encode("Human: What is Deep Learning?<|separator|>\n\n") == [
-    35406,
-    186,
-    2171,
-    458,
-    17454,
-    14803,
-    191,
-    1,
-    417,
-]
-
-assert (
-    tokenizer.apply_chat_template(
-        [{"role": "user", "content": "What is the capital of France?"}], tokenize=False
-    )
-    == "Human: What is the capital of France?<|separator|>\n\n"
-)
-```
-
-> [!NOTE]
-> This repository has been inspired by earlier similar work by [Xenova](https://huggingface.co/Xenova) in [`Xenova/grok-1-tokenizer`](https://huggingface.co/Xenova/grok-1-tokenizer).