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Text2table by gretelai

 »  All LLMs  »  gretelai  »  Text2table   URL Share it on

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  Autotrain compatible   Endpoints compatible   Gpt neox   Instruct   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/gretelai/text2table 

Text2table Benchmarks

LLME Score: 0.1109
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Text2table (gretelai/text2table)

Text2table Parameters and Internals

Model Type 
text-to-table
Training Details 
Data Sources:
OpenAI
Data Volume:
~2k training samples
Methodology:
Fine-tuning
Training Time:
100 epochs
Hardware Used:
8 A100 80GB GPUs
Input Output 
Input Format:
PROMPT_FOR_GENERATION_FORMAT with instruction and response keys
Accepted Modalities:
text
Output Format:
Generated table
LLM NameText2table
Repository 🤗https://huggingface.co/gretelai/text2table 
Model Size3b
Required VRAM5.7 GB
Updated2025-02-05
Maintainergretelai
Model Typegpt_neox
Instruction-BasedYes
Model Files  5.7 GB
Model ArchitectureGPTNeoXForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.29.0.dev0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50432
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than gretelai/text2table.

Rank the Text2table Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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
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