feat: internvl llm support qwen3moe

[SangChengC]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @SangChengC, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces support for the InternVL model utilizing the Qwen3 MOE architecture within the lightllm framework. It registers the new model type and configures it by loading the relevant configurations from the model weights directory.

Highlights

• Model Support: Adds support for the InternVL model with Qwen3 MOE (Mixture of Experts) architecture.
• Model Registry: Registers InternVLQwen3MOETpPartModel in the model registry, associating it with the internvl_chat model type when the underlying LLM is qwen3_moe.
• Configuration: Initializes the model configuration by loading llm_config from the config.json file within the weight directory and repairs potentially inconsistent key names.

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[gemini-code-assist]

Code Review

This pull request adds support for the qwen3_moe model to the internvl_chat model family. The implementation follows the existing pattern for other models. A suggestion was made to improve file handling robustness by specifying the encoding when reading the configuration file.

[gemini-code-assist]

It's a good practice to explicitly specify the file encoding when opening text files to avoid potential UnicodeDecodeError on some platforms. Please add encoding="utf-8" to the open() call to ensure consistent behavior across different environments.

with open(os.path.join(self.weight_dir_, "config.json"), "r", encoding="utf-8") as json_file:
    self.config = json.load(json_file)["llm_config"]