EVE 7B Pretrain V1.0 by BAAI

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  Arxiv:2406.11832   Autotrain compatible   Endpoints compatible   Eve   Pytorch   Region:us   Sharded

EVE 7B Pretrain V1.0 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EVE 7B Pretrain V1.0 (BAAI/EVE-7B-Pretrain-v1.0)

EVE 7B Pretrain V1.0 Parameters and Internals

Model Type 
vision-language, decoder-only
Additional Notes 
EVE is an encoder-free VLM aiming for flexibility and efficiency.
Training Details 
Data Sources:
publicly accessible data
Data Volume:
35M
Methodology:
Encoder-free training with unified decoder and extra supervision
Model Architecture:
Decoder-only vision-language
LLM NameEVE 7B Pretrain V1.0
Repository ๐Ÿค—https://huggingface.co/BAAI/EVE-7B-Pretrain-v1.0 
Model Size7b
Required VRAM14.2 GB
Updated2025-02-05
MaintainerBAAI
Model Typeeve
Model Files  10.0 GB: 1-of-2   4.2 GB: 2-of-2   0.0 GB
Model ArchitectureEVELlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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EVE 7B HD V1.04K / 14.2 GB166
Note: green Score (e.g. "73.2") means that the model is better than BAAI/EVE-7B-Pretrain-v1.0.

Rank the EVE 7B Pretrain V1.0 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227