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BOLETIN by bertin-project

 »  All LLMs  »  bertin-project  »  BOLETIN   URL Share it on

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  Autotrain compatible Base model:bertin-project/bert... Base model:finetune:bertin-pro...   Endpoints compatible   Es   Gptj   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/bertin-project/BOLETIN 

BOLETIN Benchmarks

LLME Score: 0.13056
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BOLETIN (bertin-project/BOLETIN)

BOLETIN Parameters and Internals

LLM NameBOLETIN
Repository 🤗https://huggingface.co/bertin-project/BOLETIN 
Base Model(s)  Bertin GPT J 6B   bertin-project/bertin-gpt-j-6B
Model Size6b
Required VRAM24.2 GB
Updated2025-03-23
Maintainerbertin-project
Model Typegptj
Model Files  5.0 GB: 1-of-5   5.0 GB: 2-of-5   4.8 GB: 3-of-5   4.8 GB: 4-of-5   4.6 GB: 5-of-5
Supported Languageses
Model ArchitectureGPTJForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.34.0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size50400
Torch Data Typefloat32
Activation Functiongelu_new
Errorsreplace

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Best Alternatives
Context / RAM
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Test GPT J 6B0K / 2.5 GB4460
Gptj Allenai Toxicity Blackbox0K / 12.2 GB50
...j Allenai Toxicity Explainable0K / 12.2 GB50
Pygmalion 6B0K / 16.3 GB4359744
GPT J 6B0K / 24.2 GB2802581488
Pygmalion 6B Roleplay0K / 12.1 GB18092
Explainable GPT J 6B0K / 24.2 GB50
Gpt4all J0K / 12.2 GB2430297
Note: green Score (e.g. "73.2") means that the model is better than bertin-project/BOLETIN.

Rank the BOLETIN 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 v20241227
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