Implementation:Open compass VLMEvalKit Monkey
Appearance
| Field | Value |
|---|---|
| source | VLMEvalKit |
| domain | Vision, Model_Architecture |
Overview
VLM adapter for the Monkey model enabling benchmark evaluation in VLMEvalKit.
Description
Monkey inherits from BaseModel and wraps the Monkey model for use within the VLMEvalKit evaluation framework. It initializes the model and tokenizer/processor from a HuggingFace model path (default: echo840/Monkey) and provides the generate_inner method for inference.
Usage
Register in vlmeval/config.py via supported_VLM and invoke through the standard evaluation pipeline.
Code Reference
- Source:
vlmeval/vlm/monkey.py, Lines: L1-165 - Import:
from vlmeval.vlm.monkey import Monkey
Signature:
class Monkey(BaseModel):
INSTALL_REQ = False
INTERLEAVE = False
def __init__(self, model_path='echo840/Monkey', **kwargs): ...
def generate_inner(self, message, dataset=None): ...
I/O Contract
| Direction | Description |
|---|---|
| Inputs | message — list of dicts with type (text/image) and value; dataset — optional dataset name for custom prompting |
| Outputs | generate_inner() returns str (model response text) |
Usage Examples
from vlmeval.vlm.monkey import Monkey
model = Monkey(model_path='path/to/model')
response = model.generate_inner(message)
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Principle
Implementation
Heuristic
Environment