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QuietStar Project by LeroyDyer

By LeroyDyer · 16 downloads

QuietStar Project is an open-source language model by LeroyDyer. Features: LLM, License: mit, LLM Explorer Score: 0.13.

  Biology   Ca   Chemistry   Climate   Code   Custom code   En   Es   Ha   Ig   Legal   Medical   Mistral   Mistral quiet   Mistral star   Mixtral   Pt   Question-answer   Region:us   Sequence-classification   Spydazweb-ai   Sw   Token-classification   Zu

QuietStar Project Parameters and Internals

Model Type 
Question-Answer, Token-Classification, Sequence-Classification, Text Generation Inference
Use Cases 
Areas:
research, commercial applications
Applications:
role play, medical resources, technological development, historical document storage
Primary Use Cases:
Constructing shelters, Developing technology, Medical diagnosis and reporting, Historical data retrieval
Additional Notes 
The model is trained for multi-task operations, utilizing Chain of Thoughts, Agent generation, Mark Down with mermaid, and internal preprocessing with RAG systems for tasks.
Supported Languages 
en (full), sw (full), ig (full), zu (full), ca (full), es (full), pt (full), ha (full)
Training Details 
Data Sources:
Hugging Face hub, Kaggle
Methodology:
Chain of thoughts, graph of thoughts, tree of thoughts, dual agent response generation, agent ranking, function calling, self-guiding methods.
Context Length:
32000
Release Notes 
Version:
v0.1
Notes:
32k context window, Rope-theta = 1e6, No Sliding-Window Attention.
LLM NameQuietStar Project
Repository πŸ€—https://huggingface.co/LeroyDyer/QuietStar_Project 
Updated2026-07-29
MaintainerLeroyDyer
Supported Languagesen sw ig zu ca es pt ha
Model ArchitectureAutoModelForCausalLM
Licensemit
Model Max Length32768
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32768

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