Openchatgpt Neox 125M by mrsteyk

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  Autotrain compatible   Casual-lm   En   Endpoints compatible   Generated from trainer   Gpt neox   Pytorch   Region:us   Safetensors

Openchatgpt Neox 125M Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Openchatgpt Neox 125M (mrsteyk/openchatgpt-neox-125m)

Openchatgpt Neox 125M Parameters and Internals

Model Type 
text generation, casual-lm
Additional Notes 
The model is a fine-tuned version and was trained using a dataset with safe texts. An NSFW dataset is not planned at the moment. Training involved overcoming hardware limitations using gradient techniques and 8BitAdam optimizer.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
openchatgpt safe-r1 dataset
Data Volume:
just shy off 3k input-output pairs
Model Architecture:
Based on GPT-NeoX (Pythia).
LLM NameOpenchatgpt Neox 125M
Repository ๐Ÿค—https://huggingface.co/mrsteyk/openchatgpt-neox-125m 
Model Size125m
Required VRAM0.7 GB
Updated2025-02-22
Maintainermrsteyk
Model Typegpt_neox
Model Files  0.7 GB   0.7 GB
Supported Languagesen
Model ArchitectureGPTNeoXForCausalLM
Licensecreativeml-openrail-m
Context Length2048
Model Max Length2048
Transformers Version4.25.1
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50278
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than mrsteyk/openchatgpt-neox-125m.

Rank the Openchatgpt Neox 125M 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227