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- Tiny Llama Project Guide
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- This repository provides a comprehensive guide for students and researchers to experiment with the TinyLlama-1.1B-Chat-v1.0 model, an open-source language model developed by the TinyLlama organization. The goal is to enable accessible AI experimentation without any fees or personal information requirements.
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- Model Details
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-
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- Model: TinyLlama-1.1B-Chat-v1.0
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- Source: Hugging Face - TinyLlama/TinyLlama-1.1B-Chat-v1.0
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- Organization: TinyLlama
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- Description: A lightweight, efficient 1.1B parameter model optimized for chat and text generation tasks, suitable for low-resource environments like laptops with 16GB RAM.
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- License: Refer to the model's official Hugging Face page for licensing details (typically Apache 2.0).
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-
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- Resources
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-
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- Code: Includes scripts for downloading the model, fine-tuning, and running a Flask-based chat UI.
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- Dataset: A small JSON dataset for fine-tuning tests.
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- Loss Plot: Training loss plot from fine-tuning (loss_plot.png).
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-
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-
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- Usage
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- This repository provides:
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-
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- A Flask app for local inference with a user-friendly chat interface.
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- Fine-tuning scripts using LoRA for efficient training.
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- Detailed setup instructions in document.txt.
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-
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- Note: Model weights are not included in this repository. Users must download them from the official Hugging Face repository using their access token.
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- Attribution
 
 
 
 
 
 
 
 
 
 
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  This project uses the TinyLlama-1.1B-Chat-v1.0 model by the TinyLlama organization. All credits for the model go to the original authors. For more details, visit the TinyLlama Hugging Face page.
 
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+ ---
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+ license: apache-2.0
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+ language:
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+ - en
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+ base_model:
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+ - TinyLlama/TinyLlama-1.1B-Chat-v1.0
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+ library_name: transformers
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+ tags:
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+ - text-generation-inference
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+ ---
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+ Tiny Llama Project Guide
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+ This repository provides a comprehensive guide for students and researchers to experiment with the TinyLlama-1.1B-Chat-v1.0 model, an open-source language model developed by the TinyLlama organization. The goal is to enable accessible AI experimentation without any fees or personal information requirements.
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+ Model Details
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+
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+ Model: TinyLlama-1.1B-Chat-v1.0
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+ Source: Hugging Face - TinyLlama/TinyLlama-1.1B-Chat-v1.0
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+ Organization: TinyLlama
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+ Description: A lightweight, efficient 1.1B parameter model optimized for chat and text generation tasks, suitable for low-resource environments like laptops with 16GB RAM.
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+ License: Refer to the model's official Hugging Face page for licensing details (typically Apache 2.0).
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+
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+ Resources
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+
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+ Code: Includes scripts for downloading the model, fine-tuning, and running a Flask-based chat UI.
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+ Dataset: A small JSON dataset for fine-tuning tests.
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+ Loss Plot: Training loss plot from fine-tuning (loss_plot.png).
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+
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+
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+ Usage
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+ This repository provides:
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+
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+ A Flask app for local inference with a user-friendly chat interface.
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+ Fine-tuning scripts using LoRA for efficient training.
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+ Detailed setup instructions in document.txt.
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+
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+ Note: Model weights are not included in this repository. Users must download them from the official Hugging Face repository using their access token.
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+ Attribution
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  This project uses the TinyLlama-1.1B-Chat-v1.0 model by the TinyLlama organization. All credits for the model go to the original authors. For more details, visit the TinyLlama Hugging Face page.