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f3c9b8e420 | ||
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@@ -17,7 +17,7 @@ Therefore, it is recommended to install vLLM and vLLM-Omni with a **fresh new**
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# --8<-- [start:pre-built-wheels]
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#### Installation of vLLM
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Note: Pre-built wheels are currently only available for vLLM-Omni 0.11.0rc1, 0.12.0rc1, 0.14.0rc1. For the latest version, please [build from source](https://docs.vllm.ai/projects/vllm-omni/en/latest/getting_started/installation/gpu/#build-wheel-from-source).
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Note: Pre-built wheels are currently only available for vLLM-Omni 0.11.0rc1, 0.12.0rc1, 0.14.0rc1, 0.14.0. For the latest version, please [build from source](https://docs.vllm.ai/projects/vllm-omni/en/latest/getting_started/installation/gpu/#build-wheel-from-source).
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vLLM-Omni is built based on vLLM. Please install it with command below.
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@@ -93,7 +93,7 @@ docker run --runtime nvidia --gpus 2 \
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--env "HF_TOKEN=$HF_TOKEN" \
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-p 8091:8091 \
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--ipc=host \
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vllm/vllm-omni:v0.14.0rc1 \
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vllm/vllm-omni:v0.14.0 \
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--model Qwen/Qwen3-Omni-30B-A3B-Instruct --port 8091
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```
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@@ -80,7 +80,7 @@ docker run --rm \
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-v ~/.cache/huggingface:/root/.cache/huggingface \
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--env "HF_TOKEN=$HF_TOKEN" \
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-p 8091:8091 \
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vllm/vllm-omni-rocm:v0.14.0rc1 \
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vllm/vllm-omni-rocm:v0.14.0 \
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--model Qwen/Qwen3-Omni-30B-A3B-Instruct --omni --port 8091
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```
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@@ -99,7 +99,7 @@ docker run --rm -it \
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-v ~/.cache/huggingface:/root/.cache/huggingface \
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--env "HF_TOKEN=$HF_TOKEN" \
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--entrypoint bash \
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vllm/vllm-omni-rocm:v0.14.0rc1
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vllm/vllm-omni-rocm:v0.14.0
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```
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# --8<-- [end:pre-built-images]
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+1
-1
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
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[project]
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name = "vllm-omni"
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version = "0.14.0rc1"
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version = "0.14.0"
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description = "A framework for efficient model inference with omni-modality models"
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readme = "README.md"
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requires-python = ">=3.10,<3.14"
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@@ -1,3 +1,3 @@
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__version__ = "0.14.0rc1"
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__version_tuple__ = (0, 14, "0rc1")
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__version__ = "0.14.0"
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__version_tuple__ = (0, 14, 0)
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# TODO: add auto version generation
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