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[Doc] Improve GitHub links (#11491)

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Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
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Cyrus Leung
2024-12-26 06:49:26 +08:00
committed by GitHub
parent b689ada91e
commit 6ad909fdda
31 changed files with 147 additions and 136 deletions
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docs/source/models/enabling_multimodal_inputs.md
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@@ -78,8 +78,8 @@ and register it via {meth}`INPUT_REGISTRY.register_dummy_data <vllm.inputs.regis
Here are some examples:
- Image inputs (static feature size): [LLaVA-1.5 Model](https://github.com/vllm-project/vllm/blob/main/vllm/model_executor/models/llava.py)
- Image inputs (dynamic feature size): [LLaVA-NeXT Model](https://github.com/vllm-project/vllm/blob/main/vllm/model_executor/models/llava_next.py)
- Image inputs (static feature size): [LLaVA-1.5 Model](gh-file:vllm/model_executor/models/llava.py)
- Image inputs (dynamic feature size): [LLaVA-NeXT Model](gh-file:vllm/model_executor/models/llava_next.py)
```{seealso}
[Input Processing Pipeline](#input-processing-pipeline)
@@ -107,8 +107,8 @@ The dummy data should have the maximum possible number of multi-modal tokens, as
Here are some examples:
- Image inputs (static feature size): [LLaVA-1.5 Model](https://github.com/vllm-project/vllm/blob/main/vllm/model_executor/models/llava.py)
- Image inputs (dynamic feature size): [LLaVA-NeXT Model](https://github.com/vllm-project/vllm/blob/main/vllm/model_executor/models/llava_next.py)
- Image inputs (static feature size): [LLaVA-1.5 Model](gh-file:vllm/model_executor/models/llava.py)
- Image inputs (dynamic feature size): [LLaVA-NeXT Model](gh-file:vllm/model_executor/models/llava_next.py)
```{seealso}
[Input Processing Pipeline](#input-processing-pipeline)
@@ -135,8 +135,8 @@ You can register input processors via {meth}`INPUT_REGISTRY.register_input_proce
A common use case of input processors is inserting placeholder tokens to leverage the vLLM framework for attention mask generation.
Here are some examples:
- Insert static number of image tokens: [LLaVA-1.5 Model](https://github.com/vllm-project/vllm/blob/main/vllm/model_executor/models/llava.py)
- Insert dynamic number of image tokens: [LLaVA-NeXT Model](https://github.com/vllm-project/vllm/blob/main/vllm/model_executor/models/llava_next.py)
- Insert static number of image tokens: [LLaVA-1.5 Model](gh-file:vllm/model_executor/models/llava.py)
- Insert dynamic number of image tokens: [LLaVA-NeXT Model](gh-file:vllm/model_executor/models/llava_next.py)
```{seealso}
[Input Processing Pipeline](#input-processing-pipeline)