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Evalalign V1.0 13B by Fudan-FUXI

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  Autotrain compatible   Endpoints compatible   Llava llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Fudan-FUXI/evalalign-v1.0-13b 

Evalalign V1.0 13B Benchmarks

LLME Score: 0.17667
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Evalalign V1.0 13B Parameters and Internals

Model Type 
metric
Additional Notes 
EVALALIGN is a metric for evaluating text-to-image generative models, characterized by its accuracy, stability, and fine granularity. It leverages the capabilities of Multimodal Large Language Models pre-trained on extensive datasets and is designed to evaluate image faithfulness and text-image alignment.
LLM NameEvalalign V1.0 13B
Repository 🤗https://huggingface.co/Fudan-FUXI/evalalign-v1.0-13b 
Model Size13b
Required VRAM26.7 GB
Updated2025-06-09
MaintainerFudan-FUXI
Model Typellava_llama
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   1.9 GB: 6-of-6
Model ArchitectureLlavaLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Evalalign V1.0 13B (Fudan-FUXI/evalalign-v1.0-13b)

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Note: green Score (e.g. "73.2") means that the model is better than Fudan-FUXI/evalalign-v1.0-13b.

Rank the Evalalign V1.0 13B 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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