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Parrot 1 6B by maxim-saplin

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  Autotrain compatible   Conversational   En   Endpoints compatible   Region:us   Ru   Safetensors   Sharded   Stablelm   Tensorflow
Model Card on HF 🤗: https://huggingface.co/maxim-saplin/parrot-1_6B 

Parrot 1 6B Benchmarks

LLME Score: 0.18608
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Parrot 1 6B (maxim-saplin/parrot-1_6B)

Parrot 1 6B Parameters and Internals

Model Type 
causal-lm
Use Cases 
Areas:
research, experimental projects
Applications:
chatbots, text processing
Primary Use Cases:
repeating user messages in ALL CAPS
Limitations:
language limitations depend on the training data, no explicit Russian training samples were included
Additional Notes 
Trained to repeat user messages in all caps with chat structure learning.
Supported Languages 
en (high proficiency), ru (high proficiency)
Training Details 
Data Sources:
4k messages in each epoch
Data Volume:
8k messages total
Methodology:
LORA fine-tuning with str.upper() behavior
Training Time:
11 minutes
Hardware Used:
RTX 4060 8GB
LLM NameParrot 1 6B
Repository 🤗https://huggingface.co/maxim-saplin/parrot-1_6B 
Model Size6b
Required VRAM3.3 GB
Updated2025-02-05
Maintainermaxim-saplin
Model Typestablelm
Model Files  2.0 GB: 1-of-2   1.3 GB: 2-of-2
Supported Languagesen ru
Model ArchitectureStableLmForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.39.3
Tokenizer ClassGPT2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size100289
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than maxim-saplin/parrot-1_6B.

Rank the Parrot 1 6B 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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