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Neox Musenet Untrained by breadlicker45

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Neox Musenet Untrained is an open-source language model by breadlicker45. Features: LLM, VRAM: 7.3GB, Context: 4K, LLM Explorer Score: 0.08.

  Autotrain compatible   Endpoints compatible   Gpt neox   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/breadlicker45/neox-musenet-untrained 

Neox Musenet Untrained Benchmarks

LLME Score: 0.08079
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Neox Musenet Untrained (breadlicker45/neox-musenet-untrained)
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Neox Musenet Untrained Parameters and Internals

Use Cases 
Limitations:
The model is untrained, meaning it cannot perform any tasks until it undergoes a training process.
Additional Notes 
The model is in an untrained state and requires training to be functional.
LLM NameNeox Musenet Untrained
Repository 🤗https://huggingface.co/breadlicker45/neox-musenet-untrained 
Required VRAM7.3 GB
Updated2025-09-23
Maintainerbreadlicker45
Model Typegpt_neox
Model Files  7.3 GB
Model ArchitectureGPTNeoXForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.30.2
Vocabulary Size50304
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than breadlicker45/neox-musenet-untrained.

Rank the Neox Musenet Untrained 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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