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chore: bump SGLang version to 0.5.6 (#14316)

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Co-authored-by: sglang-bot <sglang-bot@users.noreply.github.com>
This commit is contained in:
sglang-bot
2025-12-02 17:17:13 -08:00
committed by GitHub
parent c4e20caded
commit 7ae368efde
12 changed files with 14 additions and 13 deletions
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2
benchmark/deepseek_v3/README.md
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@@ -33,7 +33,7 @@ Add [performance optimization options](#performance-optimization-options) as nee
```bash
# Installation
pip install "sglang[all]>=0.5.5.post3"
pip install "sglang[all]>=0.5.6"
# Launch
python3 -m sglang.launch_server --model deepseek-ai/DeepSeek-V3 --tp 8 --trust-remote-code

2
docker/Dockerfile
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@@ -10,7 +10,7 @@ ARG GRACE_BLACKWELL_DEEPEP_BRANCH=gb200_blog_part_2
ARG DEEPEP_COMMIT=9af0e0d0e74f3577af1979c9b9e1ac2cad0104ee
ARG BUILD_AND_DOWNLOAD_PARALLEL=8
ARG SGL_KERNEL_VERSION=0.3.18.post2
ARG SGL_VERSION=0.5.5.post3
ARG SGL_VERSION=0.5.6
ARG USE_LATEST_SGLANG=0
ARG GDRCOPY_VERSION=2.5.1
ARG PIP_DEFAULT_INDEX

6
docker/rocm.Dockerfile
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@@ -1,7 +1,7 @@
# Usage (to build SGLang ROCm docker image):
# docker build --build-arg SGL_BRANCH=v0.5.5.post3 --build-arg GPU_ARCH=gfx942 -t v0.5.5.post3-rocm630-mi30x -f rocm.Dockerfile .
# docker build --build-arg SGL_BRANCH=v0.5.5.post3 --build-arg GPU_ARCH=gfx942-rocm700 -t v0.5.5.post3-rocm700-mi30x -f rocm.Dockerfile .
# docker build --build-arg SGL_BRANCH=v0.5.5.post3 --build-arg GPU_ARCH=gfx950 -t v0.5.5.post3-rocm700-mi35x -f rocm.Dockerfile .
# docker build --build-arg SGL_BRANCH=v0.5.6 --build-arg GPU_ARCH=gfx942 -t v0.5.6-rocm630-mi30x -f rocm.Dockerfile .
# docker build --build-arg SGL_BRANCH=v0.5.6 --build-arg GPU_ARCH=gfx942-rocm700 -t v0.5.6-rocm700-mi30x -f rocm.Dockerfile .
# docker build --build-arg SGL_BRANCH=v0.5.6 --build-arg GPU_ARCH=gfx950 -t v0.5.6-rocm700-mi35x -f rocm.Dockerfile .
# Default base images

2
docs/get_started/install.md
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@@ -25,7 +25,7 @@ uv pip install "sglang" --prerelease=allow
```bash
# Use the last release branch
git clone -b v0.5.5.post3 https://github.com/sgl-project/sglang.git
git clone -b v0.5.6 https://github.com/sgl-project/sglang.git
cd sglang
# Install the python packages

2
docs/platforms/amd_gpu.md
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@@ -44,7 +44,7 @@ You can install SGLang using one of the methods below.
```bash
# Use the last release branch
git clone -b v0.5.5.post3 https://github.com/sgl-project/sglang.git
git clone -b v0.5.6 https://github.com/sgl-project/sglang.git
cd sglang
# Compile sgl-kernel

2
docs/platforms/ascend_npu.md
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@@ -81,7 +81,7 @@ We are also providing a DeepEP-compatible Library as a drop-in replacement of de
```shell
# Use the last release branch
git clone -b v0.5.5.post3 https://github.com/sgl-project/sglang.git
git clone -b v0.5.6 https://github.com/sgl-project/sglang.git
cd sglang
pip install --upgrade pip

2
python/pyproject.toml
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@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
[project]
name = "sglang"
version = "0.5.5.post3"
version = "0.5.6"
description = "SGLang is a fast serving framework for large language models and vision language models."
readme = "README.md"
requires-python = ">=3.10"

2
python/pyproject_cpu.toml
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@@ -5,7 +5,7 @@ build-backend = "setuptools.build_meta"
[project]
name = "sglang"
version = "0.5.5.post3"
version = "0.5.6"
description = "SGLang is a fast serving framework for large language models and vision language models."
readme = "README.md"
requires-python = ">=3.10"

2
python/pyproject_other.toml
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@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
[project]
name = "sglang"
version = "0.5.5.post3"
version = "0.5.6"
description = "SGLang is a fast serving framework for large language models and vision language models."
readme = "README.md"
requires-python = ">=3.10"

2
python/pyproject_xpu.toml
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@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
[project]
name = "sglang"
version = "0.5.5.post3"
version = "0.5.6"
description = "SGLang is a fast serving framework for large language models and vision language models."
readme = "README.md"
requires-python = ">=3.10"

2
python/sglang/version.py
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@@ -1 +1 @@
__version__ = "0.5.5.post3"
__version__ = "0.5.6"

1
test/nightly/test_deepseek_v32_nsabackend.py
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@@ -197,6 +197,7 @@ class TestDeepseekV32NasBackend_fp8kvcache(CustomTestCase):
self.assertGreater(metrics["accuracy"], 0.935)
@unittest.skip("Temporary skip pure TP test")
class TestDeepseekV32NasBackend_pure_tp(CustomTestCase):
"""Test DeepSeek V3.2 with pure TP mode (no DP attention)."""