Small fix for Mixtral as judge eval pipeline
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# What does this PR do ?

This PR is a fix for https://github.com/NVIDIA/NeMo/pull/8634.

**Collection**: 
No collection would be affected.
We can run the script independently. And nemo dependency is not needed.

# Changelog 
- Fix small bugs
- Add doc

# Usage

For internal usage and evaluate the neva result, you can run the below command. Please check the doc to generate your NGC API for fundation model.
```python
 API_TOKEN=nvapi-xxx  python3 mixtral_eval.py --model-name-list gpt vneva --media-type image  --question-file llava-bench-in-the-wild/questions.jsonl --responses-list responses/gpt4v.jsonl responses/vneva.jsonl  --answers-dir ./   --context-file llava-bench-in-the-wild/context.jsonl --output ./output.json
```
You can also check the document for how to do benchmark on `llava-bench-in-the-wild`.
Please contact @PannuMuthu for the response files. 

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**Pre checks**:
- [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md)
- [ ] Did you write any new necessary tests?
- [x] Did you add or update any necessary documentation?
- [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
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**PR Type**:
- [ ] New Feature
- [ ] Bugfix
- [ ] Documentation

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# Additional Information
* Related to # (issue)
