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Copy file name to clipboardExpand all lines: docs/source/user_guide/feature_guide/lora.md
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You can also refer to [this](https://docs.vllm.ai/en/latest/models/supported_models.html#list-of-text-only-language-models) to find which models support LoRA in vLLM.
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## Tips
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If you fail to run vllm-ascend with LoRA, you may follow [this instruction](https://vllm-ascend.readthedocs.io/en/latest/user_guide/graph_mode.html#fallback-to-eager-mode) to disable graph mode and try again.
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If you fail to run vllm-ascend with LoRA, you may follow [this instruction](https://vllm-ascend.readthedocs.io/en/latest/user_guide/feature_guide/graph_mode.html#fallback-to-eager-mode) to disable graph mode and try again.
Copy file name to clipboardExpand all lines: docs/source/user_guide/release_notes.md
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### Highlights
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- DeepSeek works with graph mode now. Follow the [official doc](https://vllm-ascend.readthedocs.io/en/latest/user_guide/graph_mode.html) to take a try. [#789](https://github.com/vllm-project/vllm-ascend/pull/789)
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- DeepSeek works with graph mode now. Follow the [official doc](https://vllm-ascend.readthedocs.io/en/latest/user_guide/feature_guide/graph_mode.html) to take a try. [#789](https://github.com/vllm-project/vllm-ascend/pull/789)
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- Qwen series models works with graph mode now. It works by default with V1 Engine. Please note that in this release, only Qwen series models are well tested with graph mode. We'll make it stable and generalize in the next release. If you hit any issues, please feel free to open an issue on GitHub and fallback to eager mode temporarily by set `enforce_eager=True` when initializing the model.
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### Core
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## v0.8.5rc1 - 2025.05.06
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This is the 1st release candidate of v0.8.5 for vllm-ascend. Please follow the [official doc](https://vllm-ascend.readthedocs.io/en/) to start the journey. Now you can enable V1 egnine by setting the environment variable `VLLM_USE_V1=1`, see the feature support status of vLLM Ascend in [here](https://vllm-ascend.readthedocs.io/en/latest/user_guide/suppoted_features.html).
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This is the 1st release candidate of v0.8.5 for vllm-ascend. Please follow the [official doc](https://vllm-ascend.readthedocs.io/en/) to start the journey. Now you can enable V1 egnine by setting the environment variable `VLLM_USE_V1=1`, see the feature support status of vLLM Ascend in [here](https://vllm-ascend.readthedocs.io/en/latest/user_guide/support_matrix/supported_features.html).
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### Highlights
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- Upgrade CANN version to 8.1.RC1 to support chunked prefill and automatic prefix caching (`--enable_prefix_caching`) when V1 is enabled [#747](https://github.com/vllm-project/vllm-ascend/pull/747)
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## v0.8.4rc1 - 2025.04.18
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This is the first release candidate of v0.8.4 for vllm-ascend. Please follow the [official doc](https://vllm-ascend.readthedocs.io/en/) to start the journey. From this version, vllm-ascend will follow the newest version of vllm and release every two weeks. For example, if vllm releases v0.8.5 in the next two weeks, vllm-ascend will release v0.8.5rc1 instead of v0.8.4rc2. Please find the detail from the [official documentation](https://vllm-ascend.readthedocs.io/en/latest/developer_guide/versioning_policy.html#release-window).
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This is the first release candidate of v0.8.4 for vllm-ascend. Please follow the [official doc](https://vllm-ascend.readthedocs.io/en/) to start the journey. From this version, vllm-ascend will follow the newest version of vllm and release every two weeks. For example, if vllm releases v0.8.5 in the next two weeks, vllm-ascend will release v0.8.5rc1 instead of v0.8.4rc2. Please find the detail from the [official documentation](https://vllm-ascend.readthedocs.io/en/latest/community/versioning_policy.html#release-window).
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