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https://paragekbote.github.io/
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https://paragekbote.github.io/
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ParagEkbote/README.md

Typing SVG

Machine Learning Engineer working on transformer-based models, systems and ML infra.

I actively contribute to open-source machine learning projects: contributions.md

Focus areas:

  • Large Language Models and the Hugging Face ecosystem.
  • Parameter-efficient fine-tuning (LoRA / PEFT).
  • LLM inference benchmarking and optimization.
  • Reproducible ML experimentation and open-source tooling.

Profiles

Portfolio

To know more about my work and projects: 🌠 https://paragekbote.github.io/

Pinned Loading

  1. quantized-containerized-models quantized-containerized-models Public

    Deploy AI models with an API through quantization and containerization.

    Python 1

  2. FineWiki Multilingual Tokenizer Anal... FineWiki Multilingual Tokenizer Analysis based on the Smol Training Playbook: https://huggingface.co/spaces/HuggingFaceTB/smol-training-playbook#the-tokenizer
    1 
    #!/usr/bin/env python3
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    """
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    Tokenizer Performance Comparison Script
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    5 
    A comprehensive tool for evaluating tokenizer efficiency across multiple languages.
  3. hf-model-inspector hf-model-inspector Public

    A package and gh-action to generate quality reports on Hugging Face model stats and usage, addressing ambiguity in open model releases.

    Python 1

  4. Pruna Smash Setup for SmollM Collect... Pruna Smash Setup for SmollM Collection: https://huggingface.co/collections/AINovice2005/smollm-smashed-tiny-giants-optimized-for-speed-68e16113d90eab12bae42a34
    1 
    import torch
    2 
    from transformers import AutoModelForCausalLM, AutoTokenizer
    3 
    from pruna import smash, SmashConfig
    4 
    
              
    
              
    
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    # Define per-model Smash + torch.compile configs
    
              
    
          
    
    
    
  
    

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          ParagEkbote.github.io  ParagEkbote.github.io          Public
        
    
      
    


      
    
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