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Aeonium V1 Base 1B by aeonium

 »  All LLMs  »  aeonium  »  Aeonium V1 Base 1B   URL Share it on

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Aeonium V1 Base 1B is an open-source language model by aeonium. Features: 1b LLM, VRAM: 6.6GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.13.

  Aeonium   Endpoints compatible   Llama   Region:us   Ru   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/aeonium/Aeonium-v1-Base-1B 

Aeonium V1 Base 1B Benchmarks

LLME Score: 0.13348
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Aeonium V1 Base 1B (aeonium/Aeonium-v1-Base-1B)
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Aeonium V1 Base 1B Parameters and Internals

Model Type 
text generation
Supported Languages 
Russian (Advanced)
Training Details 
Data Sources:
public data, most of which are web pages in Russian
Hardware Used:
TPU v4-256 node
Safety Evaluation 
Risk Categories:
biases, offensive language
Ethical Considerations:
Users should exercise caution and apply careful filtering when using Aeonium's generated text, especially for sensitive or high-stakes applications.
Responsible Ai Considerations 
Transparency:
The model may generate text that contains biases or offensive language.
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Do sample text with a temperature set for diversity.
LLM NameAeonium V1 Base 1B
Repository 🤗https://huggingface.co/aeonium/Aeonium-v1-Base-1B 
Model Size1b
Required VRAM6.6 GB
Updated2026-05-25
Maintaineraeonium
Model Typellama
Model Files  5.0 GB: 1-of-2   1.6 GB: 2-of-2
Supported Languagesru
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.39.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than aeonium/Aeonium-v1-Base-1B.

Rank the Aeonium V1 Base 1B 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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