docs: update link (#2857)
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README.md
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README.md
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| [**Blog**](https://lmsys.org/blog/2024-07-25-sglang-llama3/)
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| [**Documentation**](https://sgl-project.github.io/)
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| [**Join Slack**](https://join.slack.com/t/sgl-fru7574/shared_invite/zt-2um0ad92q-LkU19KQTxCGzlCgRiOiQEw)
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| [**Join Bi-Weekly Development Meeting**](https://docs.google.com/document/d/1xEow4eIM152xNcRxqZz9VEcOiTQo8-CEuuQ5qTmkt-E/edit?usp=sharing)
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| [**Documentation**](https://docs.sglang.ai/)
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| [**Join Slack**](https://slack.sglang.ai/)
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| [**Join Bi-Weekly Development Meeting**](https://meeting.sglang.ai/)
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| [**Slides**](https://github.com/sgl-project/sgl-learning-materials?tab=readme-ov-file#slides) |
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## News
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@@ -45,11 +45,11 @@ The core features include:
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- **Active Community**: SGLang is open-source and backed by an active community with industry adoption.
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## Getting Started
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- [Install SGLang](https://sgl-project.github.io/start/install.html)
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- [Quick Start](https://sgl-project.github.io/start/send_request.html)
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- [Backend Tutorial](https://sgl-project.github.io/backend/openai_api_completions.html)
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- [Frontend Tutorial](https://sgl-project.github.io/frontend/frontend.html)
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- [Contribution Guide](https://sgl-project.github.io/references/contribution_guide.html)
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- [Install SGLang](https://docs.sglang.ai/start/install.html)
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- [Quick Start](https://docs.sglang.ai/start/send_request.html)
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- [Backend Tutorial](https://docs.sglang.ai/backend/openai_api_completions.html)
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- [Frontend Tutorial](https://docs.sglang.ai/frontend/frontend.html)
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- [Contribution Guide](https://docs.sglang.ai/references/contribution_guide.html)
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## Benchmark and Performance
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Learn more in the release blogs: [v0.2 blog](https://lmsys.org/blog/2024-07-25-sglang-llama3/), [v0.3 blog](https://lmsys.org/blog/2024-09-04-sglang-v0-3/), [v0.4 blog](https://lmsys.org/blog/2024-12-04-sglang-v0-4/)
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@@ -4,7 +4,7 @@ The SGLang and DeepSeek teams collaborated to get DeepSeek V3 FP8 running on NVI
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Special thanks to Meituan's Search & Recommend Platform Team and Baseten's Model Performance Team for implementing the model, and DataCrunch for providing GPU resources.
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For optimizations made on the DeepSeek series models regarding SGLang, please refer to [DeepSeek Model Optimizations in SGLang](https://sgl-project.github.io/references/deepseek.html).
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For optimizations made on the DeepSeek series models regarding SGLang, please refer to [DeepSeek Model Optimizations in SGLang](https://docs.sglang.ai/references/deepseek.html).
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## Hardware Recommendation
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- 8 x NVIDIA H200 GPUs
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@@ -14,7 +14,7 @@ git clone https://github.com/<your_user_name>/sglang.git
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### Install Dependencies & Build
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Refer to [Install SGLang from Source](https://sgl-project.github.io/start/install.html#method-2-from-source) documentation for more details on setting up the necessary dependencies.
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Refer to [Install SGLang from Source](https://docs.sglang.ai/start/install.html#method-2-from-source) documentation for more details on setting up the necessary dependencies.
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## Code Formatting with Pre-Commit
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@@ -23,7 +23,7 @@ class SamplingParams:
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The sampling parameters.
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See docs/references/sampling_params.md or
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https://sgl-project.github.io/references/sampling_params.html
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https://docs.sglang.ai/references/sampling_params.html
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for the documentation.
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"""
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@@ -4,7 +4,7 @@ SGLang router is a standalone module implemented in Rust to achieve data paralle
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## User docs
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Please check https://sgl-project.github.io/router/router.html
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Please check https://docs.sglang.ai/router/router.html
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## Developer docs
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@@ -54,7 +54,7 @@ Note:
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## Closing remarks:
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1. Please read the full usage at https://sgl-project.github.io/router/router.html
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1. Please read the full usage at https://docs.sglang.ai/router/router.html
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2. The feature is still under active improvement, so please don't hesitate to raise issues or submit PRs if you have any suggestions or feedback.
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