Implementation:Open compass VLMEvalKit Oryx

Field	Value
source	VLMEvalKit
domain	Vision, Model_Architecture

Overview

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

Description

Oryx inherits from BaseModel and wraps the Oryx model for use within the VLMEvalKit evaluation framework. It initializes the model and tokenizer/processor from a HuggingFace model path (default: liuhaotian/llava_v1.5_7b) and provides the generate_inner method for inference. Uses dynamic compressor for multi-modal resampling with configurable resolution.

Usage

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

Code Reference

Source: vlmeval/vlm/oryx.py, Lines: L1-237
Import: from vlmeval.vlm.oryx import Oryx

Signature:

class Oryx(BaseModel):
    INSTALL_REQ = True
    INTERLEAVE = True
    def __init__(self, model_path='liuhaotian/llava_v1.5_7b', **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.oryx import Oryx
model = Oryx(model_path='path/to/model')
response = model.generate_inner(message)

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Principle

Implementation

Heuristic

Environment