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Openchatgpt Neox 125M by mrsteyk

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Openchatgpt Neox 125M is an open-source language model by mrsteyk. Features: 125m LLM, VRAM: 0.7GB, Context: 2K, License: creativeml-openrail-m, LLM Explorer Score: 0.05.

  Casual-lm   En   Endpoints compatible   Generated from trainer   Gpt neox   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mrsteyk/openchatgpt-neox-125m 

Openchatgpt Neox 125M Benchmarks

LLME Score: 0.05003
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)
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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 🤗https://huggingface.co/mrsteyk/openchatgpt-neox-125m 
Model Size125m
Required VRAM0.7 GB
Updated2026-02-01
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

Best Alternatives to Openchatgpt Neox 125M

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Context / RAM
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Pythia 125M Storywriter2K / 0.6 GB60
Korean GPT Neox 125M2K / 0.4 GB161
... 125M Response Full Static Sft2K / 0.7 GB71
Pythia 125M Static Sft2K / 0.7 GB41
Taco2K / 0.7 GB31
Note: green Score (e.g. "73.2") means that the model is better than mrsteyk/openchatgpt-neox-125m.

Rank the Openchatgpt Neox 125M 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  

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