[helm] Sync all models between values.yaml and config/models

[slin1237]

• Add 40 missing models to values.yaml from config/models
• Remove obsolete gpt-oss-120b-bf16 and gpt-oss-20b-bf16 configs
• Total: 196 models now in sync

What this PR does

Why we need it

Fixes #

How to test

Checklist

• Tests added/updated (if applicable)
• Docs updated (if applicable)
• make test passes locally

[gemini-code-assist]

Summary of Changes

Hello @slin1237, 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 aims to maintain consistency and accuracy within the model definitions for the ome-serving Helm chart. It updates the values.yaml file by incorporating 40 new model configurations that were previously missing, while simultaneously removing two obsolete model definitions to streamline the configuration and ensure only relevant models are present. This ensures the Helm chart accurately reflects the available and supported models.

Highlights

• Model Synchronization: Added 40 new model configurations to values.yaml to ensure it is in sync with the config/models directory.
• Obsolete Model Removal: Removed two outdated model configurations, gpt-oss-120b-bf16 and gpt-oss-20b-bf16, from the config/models directory.
• Total Models Synchronized: These changes result in a total of 196 models now being consistently defined across the relevant configuration files.

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[gemini-code-assist]

Code Review

This pull request synchronizes model configurations by adding 40 new models to values.yaml and removing two obsolete configurations. The changes appear correct and fulfill the PR's objective. My review includes a couple of suggestions to improve vendor name consistency for better maintainability.

[gemini-code-assist]

There's an inconsistency in the vendor field for DeepSeek models. This model uses deepseek, while deepseek-r1 uses deepseek-ai. To maintain consistency and accurately reflect the Hugging Face organization (deepseek-ai), it's recommended to use deepseek-ai as the vendor here. This suggestion also applies to deepseek-v2 and deepseek-v2-5 in this file.

    vendor: deepseek-ai

[gemini-code-assist]

The vendor huggingface is too generic. Since the model is from the HuggingFaceTB organization on Hugging Face, consider using a more specific vendor like huggingfacetb for better clarity and to avoid potential naming conflicts. This also applies to smollm-360m.

    vendor: huggingfacetb