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Vision-CAIR
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LongVU_Qwen2_7B

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cambrian_qwen
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@@ -4,49 +4,50 @@ datasets:
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  - shenxq/VideoChat2
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  base_model:
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  - Qwen/Qwen2-7B-Instruct
 
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  model-index:
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- - name: llava-onevision-qwen-7b-ov
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- results:
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- - task:
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- type: multimodal
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- dataset:
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- name: EgoSchema
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- type: egoschema
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- metrics:
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- - type: accuracy
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- value: 67.6
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- name: accuracy
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- verified: true
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- - task:
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- type: multimodal
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- dataset:
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- name: MLVU
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- type: mlvu
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- metrics:
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- - type: accuracy
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- value: 65.4
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- name: accuracy
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- verified: true
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- - task:
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- type: multimodal
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- dataset:
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- name: MVBench
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- type: mvbench
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- metrics:
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- - type: accuracy
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- value: 66.9
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- name: accuracy
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- verified: true
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- - task:
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- type: multimodal
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- dataset:
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- name: VideoMME
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- type: videomme
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- metrics:
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- - type: accuracy
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- value: 60.6
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- name: accuracy
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- verified: true
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  ---
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  # LongVU
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  - shenxq/VideoChat2
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  base_model:
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  - Qwen/Qwen2-7B-Instruct
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+ - Vision-CAIR/LongVU_Qwen2_7B_img
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  model-index:
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+ - name: llava-onevision-qwen-7b-ov
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+ results:
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+ - task:
12
+ type: multimodal
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+ dataset:
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+ name: EgoSchema
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+ type: egoschema
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+ metrics:
17
+ - type: accuracy
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+ value: 67.6
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+ name: accuracy
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+ verified: true
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+ - task:
22
+ type: multimodal
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+ dataset:
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+ name: MLVU
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+ type: mlvu
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+ metrics:
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+ - type: accuracy
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+ value: 65.4
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+ name: accuracy
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+ verified: true
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+ - task:
32
+ type: multimodal
33
+ dataset:
34
+ name: MVBench
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+ type: mvbench
36
+ metrics:
37
+ - type: accuracy
38
+ value: 66.9
39
+ name: accuracy
40
+ verified: true
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+ - task:
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+ type: multimodal
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+ dataset:
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+ name: VideoMME
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+ type: videomme
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+ metrics:
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+ - type: accuracy
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+ value: 60.6
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+ name: accuracy
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+ verified: true
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  ---
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  # LongVU
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