chore: bump v0.5.0rc2 (#9203)
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6
Makefile
6
Makefile
@@ -19,8 +19,10 @@ format: check-deps ## Format modified Python files using isort and black
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FILES_TO_UPDATE = docker/Dockerfile.rocm \
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python/pyproject.toml \
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python/sglang/version.py \
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docs/references/setup_github_runner.md \
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docs/start/install.md \
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docs/developer_guide/setup_github_runner.md \
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docs/get_started/install.md \
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docs/platforms/amd_gpu.md \
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docs/platforms/ascend_npu.md \
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benchmark/deepseek_v3/README.md
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update: ## Update version numbers across project files. Usage: make update <new_version>
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@@ -33,7 +33,7 @@ Add [performance optimization options](#performance-optimization-options) as nee
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```bash
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# Installation
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pip install "sglang[all]>=0.5.0rc1"
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pip install "sglang[all]>=0.5.0rc2"
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# Launch
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python3 -m sglang.launch_server --model deepseek-ai/DeepSeek-V3 --tp 8 --trust-remote-code
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@@ -11,9 +11,9 @@ docker pull nvidia/cuda:12.1.1-devel-ubuntu22.04
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# Nvidia
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docker run --shm-size 128g -it -v /tmp/huggingface:/hf_home --gpus all nvidia/cuda:12.1.1-devel-ubuntu22.04 /bin/bash
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# AMD
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docker run --rm --device=/dev/kfd --device=/dev/dri --group-add video --shm-size 128g -it -v /tmp/huggingface:/hf_home lmsysorg/sglang:v0.5.0rc0-rocm630 /bin/bash
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docker run --rm --device=/dev/kfd --device=/dev/dri --group-add video --shm-size 128g -it -v /tmp/huggingface:/hf_home lmsysorg/sglang:v0.5.0rc1-rocm630 /bin/bash
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# AMD just the last 2 GPUs
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docker run --rm --device=/dev/kfd --device=/dev/dri/renderD176 --device=/dev/dri/renderD184 --group-add video --shm-size 128g -it -v /tmp/huggingface:/hf_home lmsysorg/sglang:v0.5.0rc0-rocm630 /bin/bash
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docker run --rm --device=/dev/kfd --device=/dev/dri/renderD176 --device=/dev/dri/renderD184 --group-add video --shm-size 128g -it -v /tmp/huggingface:/hf_home lmsysorg/sglang:v0.5.0rc1-rocm630 /bin/bash
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```
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### Step 2: Configure the runner by `config.sh`
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@@ -12,7 +12,7 @@ It is recommended to use uv for faster installation:
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```bash
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pip install --upgrade pip
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pip install uv
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uv pip install "sglang[all]>=0.5.0rc0"
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uv pip install "sglang[all]>=0.5.0rc2"
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```
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**Quick fixes to common problems**
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@@ -25,7 +25,7 @@ uv pip install "sglang[all]>=0.5.0rc0"
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```bash
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# Use the last release branch
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git clone -b v0.5.0rc0 https://github.com/sgl-project/sglang.git
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git clone -b v0.5.0rc2 https://github.com/sgl-project/sglang.git
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cd sglang
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# Install the python packages
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@@ -44,7 +44,7 @@ You can install SGLang using one of the methods below.
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```bash
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# Use the last release branch
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git clone -b v0.5.0rc0 https://github.com/sgl-project/sglang.git
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git clone -b v0.5.0rc2 https://github.com/sgl-project/sglang.git
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cd sglang
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# Compile sgl-kernel
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@@ -99,7 +99,7 @@ We are also providing a DeepEP-compatible Library as a drop-in replacement of de
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```shell
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# Use the last release branch
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git clone -b v0.5.0rc0 https://github.com/sgl-project/sglang.git
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git clone -b v0.5.0rc2 https://github.com/sgl-project/sglang.git
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cd sglang
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pip install --upgrade pip
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@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
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[project]
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name = "sglang"
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version = "0.5.0rc1"
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version = "0.5.0rc2"
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description = "SGLang is yet another fast serving framework for large language models and vision language models."
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readme = "README.md"
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requires-python = ">=3.10"
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@@ -1 +1 @@
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__version__ = "0.5.0rc1"
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__version__ = "0.5.0rc2"
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