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Qra 13B by OPI-PG

 »  All LLMs  »  OPI-PG  »  Qra 13B   URL Share it on

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  Autotrain compatible   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/OPI-PG/Qra-13b 

Qra 13B Benchmarks

LLME Score: 0.19951
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qra 13B (OPI-PG/Qra-13b)

Qra 13B Parameters and Internals

Model Type 
Language Model, Causal Language Modeling
Use Cases 
Areas:
Research, Language Processing
Primary Use Cases:
Language modeling in Polish
Limitations:
Not intended for conversational or instruction-following purposes
Additional Notes 
The model achieved notable improvements in perplexity for Polish texts.
Supported Languages 
Polish (Proficient)
Training Details 
Data Sources:
CommonCrawl, MADLAD-400 corpus
Data Volume:
90 billion tokens
Methodology:
Adaptation from Llama 2 using a cleaned, filtered, deduplicated Polish corpus
Context Length:
4096
Training Time:
35 days
Hardware Used:
21 Nvidia A100 cards
Model Architecture:
LLama 2 architecture with adaptations for Polish language
Input Output 
Input Format:
4096 token sequences
Accepted Modalities:
Text
Output Format:
Perplexity scores for Polish language texts
Performance Tips:
Using gradient checkpointing and other optimizations for training efficiency.
LLM NameQra 13B
Repository 🤗https://huggingface.co/OPI-PG/Qra-13b 
Model Size13b
Required VRAM26 GB
Updated2025-02-05
MaintainerOPI-PG
Model Typellama
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   1.2 GB: 6-of-6
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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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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