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Bawialniagpt by DuckyBlender

 »  All LLMs  »  DuckyBlender  »  Bawialniagpt   URL Share it on

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  Autotrain compatible   Conversational   Custom code Dataset:duckyblender/bawialnia...   Endpoints compatible   Instruct   Low quality   Phi3   Pl   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/DuckyBlender/bawialniagpt 

Bawialniagpt Benchmarks

LLME Score: 0.19208
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bawialniagpt (DuckyBlender/bawialniagpt)

Bawialniagpt Parameters and Internals

Model Type 
text generation, joke
Use Cases 
Limitations:
The model is not suitable for any practical applications., The model may generate nonsensical or offensive responses., The model may not respond at all, or respond with complete gibberish.
Additional Notes 
This model is a joke and is intended only for entertainment purposes. It's overtrained and generates random polish-ish garbage.
Supported Languages 
polish (low quality)
Training Details 
Data Sources:
Bawialnia Telegram Group Dataset
Methodology:
QLora fine-tuning
Training Time:
~8 hours (3 epochs)
Hardware Used:
RTX 4060
Model Architecture:
PHI-3
LLM NameBawialniagpt
Repository 🤗https://huggingface.co/DuckyBlender/bawialniagpt 
Model Size3.8b
Required VRAM7.6 GB
Updated2025-01-20
MaintainerDuckyBlender
Model Typephi3
Instruction-BasedYes
Model Files  7.6 GB
Supported Languagespl
Model ArchitecturePhi3ForCausalLM
Licensegpl-3.0
Context Length4096
Model Max Length4096
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16

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Context / RAM
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Likes
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Glider128K / 15.4 GB114430
Phi 3.5 Mini TitanFusion 0.1128K / 7.7 GB210
Phi 3.5 Multi Ability Chatbot128K / 7.7 GB662
ECE EIFFEL 3Bv2128K / 7.7 GB130
Phi3.5 Comets 3.8B128K / 7.7 GB1410
Samantha2.0 Phi 3.5 Mini ITA128K / 7.7 GB40340
Note: green Score (e.g. "73.2") means that the model is better than DuckyBlender/bawialniagpt.

Rank the Bawialniagpt 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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Release v20241227
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