LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

GPT Peter 2.7B by pszemraj

 »  All LLMs  »  pszemraj  »  GPT Peter 2.7B   URL Share it on

  23   
  Autotrain compatible Base model:eleutherai/gpt-neo-... Base model:finetune:eleutherai...   Chatbot   Gpt-neo   Gpt-peter   Gpt neo   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/pszemraj/gpt-peter-2.7B 

GPT Peter 2.7B Benchmarks

LLME Score: 0.00774
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)

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 🤗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
Updated2025-03-24
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 GB60
GPT Neo 2.7B Lama2K / 10.6 GB80
PRIME2 Openai2K / 6.6 GB61
EleutherAI GPT Neo 2.7B 4bits2K / 1.7 GB140
GPT Neo 2.7B2K / 10.7 GB83041478
Pygmalion 2.7B2K / 5.4 GB281154
... Style Transfer Using Examples2K / 5.4 GB191
Pygmalion 2.7B2K / 0 GB151
GPT Neo 2.7B Horni2K / 6.6 GB820
GPT Neo 2.7B Shinen2K / 6.6 GB730
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

🆘 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  

What open-source LLMs or SLMs are you in search of? 45494 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
  Support LLM Explorer