GPT Peter 2.7B by pszemraj

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GPT Peter 2.7B is an open-source language model by pszemraj. Features: 2.7b LLM, VRAM: 11.1GB, Context: 2K, LLM Explorer Score: 0.01.

Base model:eleutherai/gpt-neo-... Base model:finetune:eleutherai...   Chatbot   Gpt-neo   Gpt-peter   Gpt neo   Pytorch   Region:us   Safetensors
Model Card on HF ๐Ÿค—: https://huggingface.co/pszemraj/gpt-peter-2.7B 

GPT Peter 2.7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GPT Peter 2.7B (pszemraj/gpt-peter-2.7B)
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GPT Peter 2.7B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Applications:
chatbot
Limitations:
The model is too large to use the inference API
Training Details 
Data Sources:
WhatsApp texts, iMessage texts
Data Volume:
80k
Methodology:
fine-tuning
Hardware Used:
multi-GPU
Input Output 
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Adding generation parameters such as `no_repeat_ngram_size` are recommended to get better generations
LLM NameGPT Peter 2.7B
Repository ๐Ÿค—https://huggingface.co/pszemraj/gpt-peter-2.7B 
Base Model(s)  EleutherAI/gpt-neo-2.7B   EleutherAI/gpt-neo-2.7B
Model Size2.7b
Required VRAM11.1 GB
Updated2025-12-15
Maintainerpszemraj
Model Typegpt_neo
Model Files  11.1 GB   11.1 GB   0.0 GB
Model ArchitectureGPTNeoForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.18.0
Tokenizer ClassGPT2Tokenizer
Beginning of Sentence Token<|endoftext|>
End of Sentence Token<|endoftext|>
Unk Token<|endoftext|>
Vocabulary Size50257
Torch Data Typebfloat16
Activation Functiongelu_new
Errorsreplace

Best Alternatives to GPT Peter 2.7B

Best Alternatives
Context / RAM
Downloads
Likes
ChildModel 022K / 5.3 GB50
GPT Neo 2.7B Lama2K / 10.6 GB50
PRIME2 Openai2K / 6.6 GB11
EleutherAI GPT Neo 2.7B 4bits2K / 1.7 GB60
GPT Neo 2.7B2K / 10.7 GB28633492
Pygmalion 2.7B2K / 5.4 GB239559
... Style Transfer Using Examples2K / 5.4 GB41
Pygmalion 2.7B2K / 0 GB31
GPT Neo 2.7B Horni2K / 6.6 GB70
GPT Neo 2.7B Shinen2K / 6.6 GB50
Note: green Score (e.g. "73.2") means that the model is better than pszemraj/gpt-peter-2.7B.

Rank the GPT Peter 2.7B Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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.
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Release v20260328a