Model: Emova-ollm/emova-qwen-2-5-72b
Author: Emova-ollm
Pipeline: text-generation
Library: transformers
Tags: transformers, safetensors, emova_qwen2, text-generation, Omni-modal-LLM, Multi-modal-LLM, Emotional-spoken-dialogue, conversational, en, zh, dataset:Emova-ollm/emova-alignment-7m, dataset:Emova-ollm/emova-sft-4m, dataset:Emova-ollm/emova-sft-speech-231k, arxiv:2409.18042, base_model:Emova-ollm/qwen2vit600m, base_model:finetune:Emova-ollm/qwen2vit600m, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: Emova-ollm/qwen2vit600m
Card metadata: license: apache-2.0
datasets: Emova-ollm/emova-alignment-7m, Emova-ollm/emova-sft-4m, Emova-ollm/emova-sft-speech-231k
language: en, zh
base_model: Emova-ollm/qwen2vit600m, Emova-ollm/Qwen2.5-72B-Instruct_add_speech_token_4096_nostrip
new_version: Emova-ollm/emova-qwen-2-5-72b-hf
library_name: transformers
tags: Omni-modal-LLM, Multi-modal-LLM, Emotional-spoken-dialogue
model-index: name: emova-qwen-2-5-72b
results: task: type: multimodal
dataset: name: AI2D
type: ai2d
metrics: type: accuracy
value: 85.8
name: accuracy
verified: no, task: type: multimodal
dataset: name: ChartQA
type: chartqa
metrics: type: accuracy
value: 88.7
name: accuracy
verified: no, task: type: multimodal
dataset: name: DocVQA
type: docvqa
metrics: type: accuracy
value: 95.9
name: accuracy
verified: no, task: type: multimodal
dataset: name: InfoVQA
type: infovqa
metrics: type: accuracy
value: 83.2
name: accuracy
verified: no, task: type: multimodal
dataset: name: MathVerse
type: mathverse
metrics: type: accuracy
value: 50
name: accuracy
verified: no, task: type: multimodal
dataset: name: MathVista
type: mathvista
metrics: type: accuracy
value: 69.9
name: accuracy
verified: no, task: type: multimodal
dataset: name: MMBench
type: mmbench
metrics: type: accuracy
value: 86.4
name: accuracy
verified: no, task: type: multimodal
dataset: name: MME
type: mme
metrics: type: score
value: 2402
name: score
verified: no, task: type: multimodal
dataset: name: MMVet
type: mmvet
metrics: type: accuracy
value: 64.8
name: accuracy
verified: no, task: type: multimodal
dataset: name: OCRBench
type: ocrbench
metrics: type: accuracy
value: 843
name: accuracy
verified: no, task: type: multimodal
dataset: name: RealWorldQA
type: realworldqa
metrics: type: accuracy
value: 71
name: accuracy
verified: no, task: type: multimodal
dataset: name: Seed-Bench-Image
type: seed-bench-image
metrics: type: accuracy
value: 76.6
name: accuracy
verified: no, task: type: multimodal
dataset: name: Science-QA
type: science-qa
metrics: type: accuracy
value: 98.2
name: accuracy
verified: no, task: type: multimodal
dataset: name: TextVQA
type: textvqa
metrics: type: accuracy
value: 81.4
name: accuracy
verified: no, task: name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset: name: LibriSpeech (clean)
type: librispeech_asr
config: clean
split: test
args: language: en
metrics: name: Test WER
type: wer
value: 2.9
verified: no
Likes: 1 | All-time downloads: 10
Created: 2025-03-12 17:33:21