Implementation:Open compass VLMEvalKit Moondream1

Field	Value
source	VLMEvalKit
domain	Vision, Model_Architecture

Overview

VLM adapter for the Moondream model enabling benchmark evaluation in VLMEvalKit.

Description

Moondream1 inherits from BaseModel and wraps the Moondream model for use within the VLMEvalKit evaluation framework. It initializes the model and tokenizer/processor from a HuggingFace model path (default: vikhyatk/moondream1) and provides the generate_inner method for inference. Also includes Moondream2 adapter class for the moondream2 model.

Usage

Register in vlmeval/config.py via supported_VLM and invoke through the standard evaluation pipeline.

Code Reference

Source: vlmeval/vlm/moondream.py, Lines: L1-218
Import: from vlmeval.vlm.moondream import Moondream1

Signature:

class Moondream1(BaseModel):
    INSTALL_REQ = False
    INTERLEAVE = False
    def __init__(self, model_path='vikhyatk/moondream1', **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.moondream import Moondream1
model = Moondream1(model_path='path/to/model')
response = model.generate_inner(message)

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Principle

Implementation

Heuristic

Environment