Add support for providing optional logits processors to HuggingFace MLLM models for output control

[HJJ256]

Description

Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change.

Fixes # (issue)

New Package?

Did I fill in the tool.llamahub section in the pyproject.toml and provide a detailed README.md for my new integration or package?

• Yes
• No

Version Bump?

Did I bump the version in the pyproject.toml file of the package I am updating? (Except for the llama-index-core package)

• Yes
• No

Type of Change

Please delete options that are not relevant.

• New feature (non-breaking change which adds functionality)
• This change requires a documentation update

How Has This Been Tested?

Tested locally on my server. I was able to add a SynCode JSON logits processor to the updated models and make them generate a strict JSON output. Previously all models (I tested with the small models) were only generating markdowns for me. Even json was generated as a markdown like this

```json
{
"key": "value"
}
```

Especially in case of small models: The models misbehave a lot and try to output extra or differently formatted information. Enforcing a grammar using logits processors helps in controlling the output of the model in a more deterministic way.

Your pull-request will likely not be merged unless it is covered by some form of impactful unit testing.

• I added new unit tests to cover this change
• I believe this change is already covered by existing unit tests

Suggested Checklist:

• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• I have added Google Colab support for the newly added notebooks.
• My changes generate no new warnings
• I have added tests that prove my fix is effective or that my feature works
• New and existing unit tests pass locally with my changes
• I ran make format; make lint to appease the lint gods