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Qlora Dialogue Summary by Andyrasika

 »  All LLMs  »  Andyrasika  »  Qlora Dialogue Summary   URL Share it on

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  Dataset:knkarthick/dialogsum   En   Endpoints compatible   Lora   Peft   Prompts   Qlora   Region:us
Model Card on HF 🤗: https://huggingface.co/Andyrasika/qlora-dialogue-summary 

Qlora Dialogue Summary Benchmarks

LLME Score: 0.10547
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qlora Dialogue Summary (Andyrasika/qlora-dialogue-summary)
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Qlora Dialogue Summary Parameters and Internals

Model Type 
text generation, quantized model
Use Cases 
Areas:
Research, Commercial applications
Applications:
Dialogue summarization, Text generation tasks
Primary Use Cases:
Generating dialogue summaries, Enhanced natural language processing tasks
Limitations:
May not handle very domain-specific jargon well
Considerations:
It is important to ensure that the model is used responsibly and its outputs are verified in critical applications.
Additional Notes 
The model was adapted using QLoRA, allowing for the addition of Low-Rank Adaptation layers.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
knkarthick/dialogsum
Methodology:
The model utilizes bitsandbytes quantization with specific configurations for optimizing inference performance.
Input Output 
Input Format:
Text inputs tokenized by a compatible tokenizer
Accepted Modalities:
text
Output Format:
Generated text
Performance Tips:
Adjusting the quantization parameters can optimize performance for specific use cases.
LLM NameQlora Dialogue Summary
Repository 🤗https://huggingface.co/Andyrasika/qlora-dialogue-summary 
Required VRAM0 GB
Updated2025-09-30
MaintainerAndyrasika
Model Files  0.0 GB
Supported Languagesen
Model ArchitectureAutoModel
Licensecreativeml-openrail-m
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha16
LoRA Dropout0.05
R Param8

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Note: green Score (e.g. "73.2") means that the model is better than Andyrasika/qlora-dialogue-summary.

Rank the Qlora Dialogue Summary 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 v20241124
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