Difficulty configuring multiple instances of the same model with distinct parameters

I am currently self-deploying an application that requires setting up multiple instances of the same model, each configured with different parameters. For example:

```
MODELS=`[{
"name": "gpt-4-0125-preview",
"displayName": "GPT 4",
"endpoints" : [{
"type": "openai"
}]
},
{
"name": "gpt-4-0125-preview",
"displayName": "GPT 4 temp 0",
"parameters": {
"temperature": 0.0
},
"endpoints" : [{
"type": "openai"
}]
}
]`
```

This results in a state which looks like that both models are active simultaneously.

However, in practice, I cannot activate the second model ("GPT 4 temp 0"); only "GPT 4" is utilized during chat operations. It appears as if the system defaults to the first model instance and ignores subsequent ones with the same model name.

I tried to distinguish between the models by modifying the `name` field and introducing an `id` field, using the appropriate model identifier. However, this approach resulted in a loss of model reference, indicating that these fields cannot be arbitrarily configured on the client side.

Is there a recommended approach to deploying two instances of the same model with varying parameters? Any guidance or suggestions on how to achieve this would be greatly appreciated.