Model: BBBBCHAN/LLaVA-Scissor-baseline-7B
Author: BBBBCHAN
Pipeline: video-text-to-text
Library: transformers
Tags: transformers, safetensors, qwen2, text-generation, llava, llava-scissor, llava-onevision, llava-ov, token-compression, video-understanding, multimodal, video-text-to-text, en, zh, dataset:THUdyh/Oryx-SFT-Data, arxiv:2506.21862, base_model:Qwen/Qwen2.5-7B-Instruct, base_model:finetune:Qwen/Qwen2.5-7B-Instruct, license:cc-by-nc-4.0, model-index, text-generation-inference, endpoints_compatible, region:us
Base models (finetune): id: Qwen/Qwen2.5-7B-Instruct
Card metadata: base_model: google/siglip-so400m-patch14-384, Qwen/Qwen2.5-7B-Instruct
datasets: THUdyh/Oryx-SFT-Data
language: en, zh
library_name: transformers
license: cc-by-nc-4.0
metrics: accuracy
pipeline_tag: video-text-to-text
tags: llava, llava-scissor, llava-onevision, llava-ov, token-compression, video-understanding, multimodal
model-index: name: llava-onevision-qwen-7b-ov
results: task: type: multimodal
dataset: name: MVBench
type: mvbench
metrics: type: accuracy
value: 62.425
name: accuracy
verified: no, task: type: multimodal
dataset: name: NextQA
type: nextqa
metrics: type: accuracy
value: 81.33
name: accuracy
verified: no, task: type: multimodal
dataset: name: EgoSchema
type: egoschema
metrics: type: accuracy
value: 58.08
name: accuracy
verified: no, task: type: multimodal
dataset: name: VideoMME
type: videomme
metrics: type: accuracy
value: 57.96
name: accuracy
verified: no, task: type: multimodal
dataset: name: MLVU
type: mlvu
metrics: type: accuracy
value: 62.48
name: accuracy
verified: no, task: type: multimodal
dataset: name: VideoMMMU
type: videommmu
metrics: type: accuracy
value: 40.55
name: accuracy
verified: no
Likes: 3 | All-time downloads: 517
Created: 2025-05-26 05:47:19