[Doc] Update Qwen documentation (#9869)

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Jee Jee Li 2024-10-31 16:54:18 +08:00 committed by GitHub
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2 changed files with 6 additions and 3 deletions

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@ -277,7 +277,7 @@ Text Generation
* - :code:`QWenLMHeadModel` * - :code:`QWenLMHeadModel`
- Qwen - Qwen
- :code:`Qwen/Qwen-7B`, :code:`Qwen/Qwen-7B-Chat`, etc. - :code:`Qwen/Qwen-7B`, :code:`Qwen/Qwen-7B-Chat`, etc.
- - ✅︎
- ✅︎ - ✅︎
* - :code:`Qwen2ForCausalLM` * - :code:`Qwen2ForCausalLM`
- Qwen2 - Qwen2
@ -516,7 +516,7 @@ Text Generation
- Qwen-VL - Qwen-VL
- T + I\ :sup:`E+` - T + I\ :sup:`E+`
- :code:`Qwen/Qwen-VL`, :code:`Qwen/Qwen-VL-Chat`, etc. - :code:`Qwen/Qwen-VL`, :code:`Qwen/Qwen-VL-Chat`, etc.
- - ✅︎
- ✅︎ - ✅︎
* - :code:`Qwen2AudioForConditionalGeneration` * - :code:`Qwen2AudioForConditionalGeneration`
- Qwen2-Audio - Qwen2-Audio
@ -540,6 +540,9 @@ Text Generation
| :sup:`E` Pre-computed embeddings can be inputted for this modality. | :sup:`E` Pre-computed embeddings can be inputted for this modality.
| :sup:`+` Multiple items can be inputted per text prompt for this modality. | :sup:`+` Multiple items can be inputted per text prompt for this modality.
.. note::
vLLM currently only supports adding LoRA to the language backbone of multimodal models.
.. note:: .. note::
For :code:`openbmb/MiniCPM-V-2`, the official repo doesn't work yet, so we need to use a fork (:code:`HwwwH/MiniCPM-V-2`) for now. For :code:`openbmb/MiniCPM-V-2`, the official repo doesn't work yet, so we need to use a fork (:code:`HwwwH/MiniCPM-V-2`) for now.
For more details, please see: https://github.com/vllm-project/vllm/pull/4087#issuecomment-2250397630 For more details, please see: https://github.com/vllm-project/vllm/pull/4087#issuecomment-2250397630

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@ -1048,7 +1048,7 @@ class QWenVL(QWenBaseModel):
@MULTIMODAL_REGISTRY.register_max_image_tokens(MAX_QWEN_IMG_TOKENS) @MULTIMODAL_REGISTRY.register_max_image_tokens(MAX_QWEN_IMG_TOKENS)
@INPUT_REGISTRY.register_dummy_data(dummy_data_for_qwen) @INPUT_REGISTRY.register_dummy_data(dummy_data_for_qwen)
@INPUT_REGISTRY.register_input_processor(input_processor_for_qwen) @INPUT_REGISTRY.register_input_processor(input_processor_for_qwen)
class QWenLMHeadModel(QWenBaseModel): class QWenLMHeadModel(QWenBaseModel, SupportsLoRA):
""" """
QWenLMHeadModel is not only applicable to LLM but also to VL, which is not QWenLMHeadModel is not only applicable to LLM but also to VL, which is not
conducive to the current integration logic of LoRA in vLLM. Therefore, it conducive to the current integration logic of LoRA in vLLM. Therefore, it