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TIGERScore 13B by TIGER-Lab

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TIGERScore 13B is an open-source language model by TIGER-Lab. Features: 13b LLM, VRAM: 26GB, Context: 4K, License: mit, HF Score: 56.8, LLM Explorer Score: 0.15, Arc: 59, HellaSwag: 82.8, MMLU: 55.1, TruthfulQA: 40.4, WinoGrande: 74.7, GSM8K: 28.7.

  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
Model Card on HF 🤗: https://huggingface.co/TIGER-Lab/TIGERScore-13B 

TIGERScore 13B Benchmarks

ARC: 59.04 vs 96.7 (so35)-38.9%
HellaSwag: 82.79 vs 95.3 (gpt4)-13.1%
MMLU: 55.07 vs 88.3 (so35)-37.6%
TruthfulQA: 40.38 vs 59 (gpt4)-31.6%
WinoGrande: 74.74 vs 87.5 (gpt4)-14.6%
GSM8K: 28.73 vs 96.4 (so35)-70.2%
LLME Score: 0.14741
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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 🤗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 GGUF3194 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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