Model: nyu-visionx/Cambrian-S-7B
Author: nyu-visionx
Pipeline: image-to-text
Library: transformers
Tags: transformers, safetensors, cambrian_qwen, text-generation, multimodal, video-understanding, spatial-reasoning, vision-language, image-to-text, en, dataset:nyu-visionx/VSI-590K, arxiv:2511.04670, base_model:Qwen/Qwen2.5-7B-Instruct, base_model:finetune:Qwen/Qwen2.5-7B-Instruct, license:apache-2.0, model-index, autotrain_compatible, endpoints_compatible, region:us
Base models (finetune): id: Qwen/Qwen2.5-7B-Instruct
Card metadata: license: apache-2.0
base_model: Qwen/Qwen2.5-7B-Instruct
library_name: transformers
pipeline_tag: image-to-text
tags: multimodal, video-understanding, spatial-reasoning, vision-language
datasets: nyu-visionx/VSI-590K
model-index: name: Cambrian-S-7B
results: task: type: visual-question-answering
name: VSI-Bench
dataset: type: vsi-bench
name: VSI-Bench
metrics: type: accuracy
name: accuracy
value: 67.5
verified: no, task: type: visual-question-answering
name: Tomato
dataset: type: Tomato
name: Tomato
metrics: type: accuracy
name: accuracy
value: 27
verified: no, task: type: visual-question-answering
name: HourVideo
dataset: type: hourvideo
name: HourVideo
metrics: type: accuracy
name: accuracy
value: 36.5
verified: no, task: type: visual-question-answering
name: EgoSchema
dataset: type: egoschema
name: EgoSchema
metrics: type: accuracy
name: accuracy
value: 76.8
verified: no, task: type: visual-question-answering
name: Perception Test
dataset: type: perception-test
name: Perception Test
metrics: type: accuracy
name: accuracy
value: 69.9
verified: no, task: type: visual-question-answering
name: VideoMME
dataset: type: videomme
name: VideoMME
metrics: type: accuracy
name: accuracy
value: 63.4
verified: no, task: type: visual-question-answering
name: MVBench
dataset: type: mvbench
name: MVBench
metrics: type: accuracy
name: accuracy
value: 64.5
verified: no, task: type: visual-question-answering
name: LongVideoBench
dataset: type: longvideobench
name: LongVideoBench
metrics: type: accuracy
name: accuracy
value: 59.4
verified: no, task: type: visual-question-answering
name: VideoMMMU
dataset: type: videommmu
name: VideoMMMU
metrics: type: accuracy
name: accuracy
value: 38.6
verified: no, task: type: visual-question-answering
name: MMVP
dataset: type: mmvp
name: MMVP
metrics: type: accuracy
name: accuracy
value: 60
verified: no, task: type: visual-question-answering
name: 3DSR
dataset: type: 3dsr
name: 3DSR
metrics: type: accuracy
name: accuracy
value: 54.8
verified: no, task: type: visual-question-answering
name: CV-Bench
dataset: type: cv-bench
name: CV-Bench
metrics: type: accuracy
name: accuracy
value: 76.9
verified: no
language: en
Likes: 5 | All-time downloads: 5906
Created: 2025-11-04 02:53:17