EngineX-Hygon/sglang
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improve docs

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Lianmin Zheng
2024-02-05 11:22:06 +00:00
parent 26f0bedc8f
commit 8ff870bf3e
2 changed files with 5 additions and 4 deletions
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README.md
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@@ -9,8 +9,9 @@ The core features of SGLang include:
- **A High-Performance Runtime with RadixAttention**: This feature significantly accelerates the execution of complex LLM programs by automatic KV cache reuse across multiple calls. It also supports other common techniques like continuous batching and tensor parallelism.
## News
- [2024/01] 🔥 SGLang powers the serving of the offical LLaVA v1.6 release demo ([blog](https://llava-vl.github.io/blog/2024-01-30-llava-1-6/)).
- [2024/01] SGLang provides up to 5x faster inference with RadixAttention ([blog](https://lmsys.org/blog/2024-01-17-sglang/)).
- [2024/02] 🔥 SGLang enables **3x faster JSON decoding** with compressed finite state machine ([blog](https://lmsys.org/blog/2024-02-05-compressed-fsm/)).
- [2024/01] 🔥 SGLang powers the serving of the offical **LLaVA v1.6** release demo ([usage](https://github.com/haotian-liu/LLaVA?tab=readme-ov-file#demo)).
- [2024/01] SGLang provides up to **5x faster inference** with RadixAttention ([blog](https://lmsys.org/blog/2024-01-17-sglang/)).
## Contents
- [Install](#install)
@@ -216,7 +217,7 @@ character_regex = (
@sgl.function
def character_gen(s, name):
s += name + " is a character in Harry Potter. Please fill in the following information about him/her.\n"
s += name + " is a character in Harry Potter. Please fill in the following information about this character.\n"
s += sgl.gen("json_output", max_tokens=256, regex=character_regex)
```