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APT3 1B Base by Azurro

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  Allamo   Autotrain compatible Dataset:chrisociepa/wikipedia-...   Llama   Pl   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Azurro/APT3-1B-Base 

APT3 1B Base Benchmarks

LLME Score: 0.14335
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
APT3 1B Base (Azurro/APT3-1B-Base)

APT3 1B Base Parameters and Internals

Model Type 
causal decoder-only
Use Cases 
Areas:
research, scientific purposes
Limitations:
Not intended for deployment without fine-tuning, May produce factually incorrect or offensive content
Supported Languages 
Polish (fluent)
Training Details 
Data Sources:
Speakleash, Polish Wikipedia, Publicly available and crawled web data
Data Volume:
285GB of text corpus
Context Length:
2048
Hardware Used:
Nvidia RTX 4090 24GB VRAM
Model Architecture:
autoregressive, transformer-based
Input Output 
Performance Tips:
Use Hugging Face Pipelines and smaller precision (bfloat16) to reduce memory usage.
LLM NameAPT3 1B Base
Repository 🤗https://huggingface.co/Azurro/APT3-1B-Base 
Model Size1b
Required VRAM4.2 GB
Updated2025-06-01
MaintainerAzurro
Model Typellama
Model Files  0.0 GB   4.2 GB   8.3 GB   4.2 GB
Supported Languagespl
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length2048
Model Max Length2048
Transformers Version4.35.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size31980
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than Azurro/APT3-1B-Base.

Rank the APT3 1B Base 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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Release v20241227
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