Bloom 560M Finetuned Totto Table To Text by Narrativaai

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Bloom 560M Finetuned Totto Table To Text is an open-source language model by Narrativaai. Features: 560m LLM, VRAM: 2.2GB, Fine-Tuned, LLM Explorer Score: 0.03.

  Bloom   Dataset:totto   Deploy:azure   En   Endpoints compatible   Finetuned   Narratable   Pytorch   Region:us   Safetensors   Table-to-text   Tabular

Bloom 560M Finetuned Totto Table To Text Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bloom 560M Finetuned Totto Table To Text (Narrativaai/bloom-560m-finetuned-totto-table-to-text)
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Bloom 560M Finetuned Totto Table To Text Parameters and Internals

Model Type 
text generation
Additional Notes 
This model is a fine-tuned version of bigscience/bloom-560m on the ToTTo dataset, which is an open-domain English table-to-text dataset.
Training Details 
Data Sources:
ToTTo dataset
Methodology:
Fine-tuning
LLM NameBloom 560M Finetuned Totto Table To Text
Repository ๐Ÿค—https://huggingface.co/Narrativaai/bloom-560m-finetuned-totto-table-to-text 
Model Size560m
Required VRAM2.2 GB
Updated2026-03-29
MaintainerNarrativaai
Model Typebloom
Model Files  2.2 GB   2.2 GB
Supported Languagesen
Model ArchitectureBloomForCausalLM
Transformers Version4.21.3
Tokenizer ClassBloomTokenizer
Padding Token<pad>
Vocabulary Size250880
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than Narrativaai/bloom-560m-finetuned-totto-table-to-text.

Rank the Bloom 560M Finetuned Totto Table To Text 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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Release v20260328a