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GPT Neo 1.3B Emailgen by postbot

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  Autotrain compatible Base model:eleutherai/gpt-neo-... Base model:finetune:eleutherai...   Dataset:aeslc Dataset:postbot/multi-emails-1...   Email   Email generation   Endpoints compatible   Generated from trainer   Gpt neo   Model-index   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/postbot/gpt-neo-1.3B-emailgen 

GPT Neo 1.3B Emailgen Benchmarks

ARC: 29.95 vs 96.7 (so35)-69%
HellaSwag: 47.95 vs 95.3 (gpt4)-49.7%
MMLU: 24.11 vs 88.3 (so35)-72.7%
TruthfulQA: 42.55 vs 59 (gpt4)-27.9%
WinoGrande: 56.27 vs 87.5 (gpt4)-35.7%
LLME Score: 0.08425
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GPT Neo 1.3B Emailgen (postbot/gpt-neo-1.3B-emailgen)
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GPT Neo 1.3B Emailgen Parameters and Internals

Model Type 
text-generation
Training Details 
Data Sources:
postbot/multi-emails-100k
LLM NameGPT Neo 1.3B Emailgen
Repository 🤗https://huggingface.co/postbot/gpt-neo-1.3B-emailgen 
Base Model(s)  EleutherAI/gpt-neo-1.3B   EleutherAI/gpt-neo-1.3B
Model Size1.3b
Required VRAM5.4 GB
Updated2025-09-23
Maintainerpostbot
Model Typegpt_neo
Model Files  5.4 GB   5.4 GB   0.0 GB
Model ArchitectureGPTNeoForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.22.2
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size50257
Torch Data Typefloat32
Activation Functiongelu_new
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than postbot/gpt-neo-1.3B-emailgen.

Rank the GPT Neo 1.3B Emailgen 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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