TIGERScore 13B by TIGER-Lab

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  Arxiv:2310.00752   Autotrain compatible   Cs Dataset:tiger-lab/metricinstru...   En   Endpoints compatible   Llama   Llm metric   Metric   Model-index   Region:us   Ru   Safetensors   Sharded   Tensorflow   Text evaluation   Tigerscore   Zh

TIGERScore 13B Benchmarks

TIGERScore 13B (TIGER-Lab/TIGERScore-13B)
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TIGERScore 13B Parameters and Internals

Model Type 
text generation
Additional Notes 
Designed as a reference-free metric, driven by natural language instruction for detailed error analysis.
Supported Languages 
en (fluent), zh (moderate), ru (basic), cs (basic)
Training Details 
Data Sources:
https://huggingface.co/datasets/TIGER-Lab/MetricInstruct
Methodology:
Special training methods include instruction-tuning using the MetricInstruct dataset.
Model Architecture:
Based on LLaMA-2, fine-tuned with MetricInstruct dataset
LLM NameTIGERScore 13B
Repository ๐Ÿค—https://huggingface.co/TIGER-Lab/TIGERScore-13B 
Model Size13b
Required VRAM26 GB
Updated2025-09-23
MaintainerTIGER-Lab
Model Typellama
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   1.2 GB: 6-of-6   0.0 GB
Supported Languagesen zh ru cs
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.35.1
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32001
Torch Data Typebfloat16

Quantized Models of the TIGERScore 13B

Model
Likes
Downloads
VRAM
TIGERScore 13B GGUF31174 GB

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Rank the TIGERScore 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124