### What problem does this PR solve?
```
fixed:
RAGFlow(api/default)> use model 'minimax-m2.5@test@minimax'
SUCCESS
RAGFlow(api/default)> chat message 'who r u'
Answer: Hey! I'm MiniMax-M2.5, an AI assistant here to help you with questions, tasks, or whatever you need. What can I do for you?
Time: 1.727263
```
### Type of change
- [x] Bug Fix (non-breaking change which fixes an issue)
### What problem does this PR solve?
This PR enhances the CLI parser to support dimension configurations for
custom embedding models. Users can now specify the maximum dimension and
other supported dimensions directly after the embedding keyword.
```
add model 'x1 x2 x3 x4 x5' to provider 'vllm' instance 'test' with
tokens 1024 chat think vision,
token 2048 chat,
token 1024 think vision,
token 0 embedding 2048 64 1024 2048,
token 0 embedding 2048;
```
- The first integer following embedding represents the max_dimension.
- Any subsequent integers represent specific alternative dimensions.
- If no subsequent integers are provided, dimensions defaults to empty,
indicating all sizes under max_dimension are supported.
