Model: MLAdaptiveIntelligence/LLaVAction-7B
Author: MLAdaptiveIntelligence
Pipeline: video-text-to-text
Library: transformers
Tags: transformers, safetensors, qwen2, text-generation, Action, Video, MQA, multimodal, VLM, LLaVAction, MLLMs, video-text-to-text, en, dataset:lmms-lab/LLaVA-Video-178K, arxiv:2503.18712, base_model:lmms-lab/LLaVA-Video-7B-Qwen2, base_model:finetune:lmms-lab/LLaVA-Video-7B-Qwen2, license:cc-by-nc-sa-4.0, model-index, text-generation-inference, endpoints_compatible, region:us
Base models (finetune): id: lmms-lab/LLaVA-Video-7B-Qwen2
Card metadata: license: cc-by-nc-sa-4.0
datasets: lmms-lab/LLaVA-Video-178K
language: en
metrics: accuracy
base_model: lmms-lab/LLaVA-Video-7B-Qwen2
pipeline_tag: video-text-to-text
library_name: transformers
tags: Action, Video, MQA, multimodal, VLM, LLaVAction, MLLMs
model-index: name: LLaVAction-7B
results: task: type: multimodal
dataset: name: EgoSchema
type: egoschema
metrics: type: accuracy
value: 59
name: accuracy
verified: no, task: type: multimodal
dataset: name: MVBench
type: mvbench
metrics: type: accuracy
value: 61.1
name: accuracy
verified: no, task: type: multimodal
dataset: name: NextQA
type: nextqa
metrics: type: accuracy
value: 82.8
name: accuracy
verified: no, task: type: multimodal
dataset: name: PercepTest
type: percepTest
metrics: type: accuracy
value: 70.2
name: accuracy
verified: no, task: type: multimodal
dataset: name: LongVideoBench
type: longvideobench
metrics: type: accuracy
value: 58.6
name: accuracy
verified: no, task: type: multimodal
dataset: name: VideoMME
type: videomme
metrics: type: accuracy
value: 63.9
name: accuracy
verified: no, task: type: multimodal
dataset: name: VideoMME (w-subs)
type: videomme
metrics: type: accuracy
value: 71.4
name: accuracy
verified: no
Likes: 1 | All-time downloads: 1056
Created: 2025-03-24 14:09:46