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#QLoRA

Showing: 24 courses
Stanford University

Aligning Open Language Models - Stanford CS25 Lecture

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Explore the evolution of open language models, covering key techniques, datasets, and models like Alpaca and QLoRA. Gain insights into the future of aligning these models for easier use.
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1 Lesons
1 hour 16 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Llama2 7B QLora Fine Tuning for Chain-of-Thought in Spanish

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Aprende a personalizar el modelo Llama2 7B utilizando QLora para tareas de razonamiento en cadena (CoT) en español. Explora técnicas avanzadas de aprendizaje automático y ciencia de datos.
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1 Lesons
23 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Llama3 8B QLora Fine Tuning for Chain-of-Thought in Spanish

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Aprende a personalizar el modelo Llama3 8B con QLora para tareas de razonamiento en cadena (CoT) en español. Domina técnicas avanzadas de ajuste fino en aprendizaje automático.
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1 Lesons
28 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps MLflow: Fine-Tuning Mistral 7B con PEFT y QLora - Español

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Aprende a ajustar Mistral 7B utilizando técnicas avanzadas como PEFT y QLora, integrando MLflow para un seguimiento eficiente del proceso de fine-tuning.
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1 Lesons
47 minutes
On-Demand
Free-Video
Discover AI

LLM Quantization Tutorial: QLoRA, GPTQ, and LLama.cpp Implementation for LLama 2

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Master LLM quantization techniques and implement efficient model compression using QLoRA, GPTQ, and Llamacpp, with practical guidance for running optimized LLMs locally across different platforms.
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1 Lesons
27 minutes
On-Demand
Free-Video
Discover AI

Understanding 4-bit Quantization and QLoRA - Memory Efficient Fine-tuning of LLMs

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Dive into memory-efficient fine-tuning of large language models through 4-bit quantization and QLoRA, combining theoretical foundations with practical implementation in Colab.
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1 Lesons
42 minutes
On-Demand
Free-Video
AI Bites

QLoRA: Efficient Training of Large Language Models Using Quantization and Low-Rank Adaptation

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Discover how QLoRA enables efficient training of large language models on a single GPU through innovative techniques like NormalFloat, Double Quantization, and Paged Optimizers.
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10 Lesons
12 minutes
On-Demand
Free-Video
Discover AI

LoftQ: Understanding LoRA-Fine-Tuning-aware Quantization for LLMs

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Dive into LoftQ, a groundbreaking LLM quantization method that combines with LoRA to achieve superior performance and efficiency in large language models.
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8 Lesons
14 minutes
On-Demand
Free-Video
Discover AI

Generative AI and LLM Technologies - A Comprehensive Tutorial

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Explore essential concepts and technologies behind generative AI systems, from pre-training and fine-tuning to prompt engineering and advanced data structures for LLMs.
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6 Lesons
19 minutes
On-Demand
Free-Video
Venelin Valkov

Fine-Tuning LLM with QLoRA on Single GPU - Training Falcon-7b on ChatBot Support FAQ Dataset

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Learn to fine-tune Falcon-7b LLM on a custom dataset using QLoRA. Covers model loading, LoRA adapter implementation, fine-tuning, progress monitoring, and performance evaluation on chatbot support FAQs.
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13 Lesons
30 minutes
On-Demand
Free-Video
Venelin Valkov

Deploy LLM to Production on Single GPU - REST API for Falcon 7B with QLoRA on Inference Endpoints

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Learn to deploy a fine-tuned Falcon 7B model with QLoRA to production using HuggingFace Inference Endpoints, creating a REST API for efficient and scalable inference on a single GPU.
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10 Lesons
22 minutes
On-Demand
Free-Video
sentdex

Building an LLM Fine-Tuning Dataset - From Reddit Comments to QLoRA Training

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Learn to build a QLoRA fine-tuning dataset for language models using Reddit data. Covers data acquisition, processing, structuring, and training sample creation, culminating in QLoRA training and results analysis.
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9 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Krish Naik

Generative AI: Fine-Tuning LLM Models Crash Course

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Comprehensive guide to fine-tuning LLMs using advanced techniques like QLORA and quantization, covering theoretical concepts and practical implementations with popular models like LLama2 and Google Gemma.
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8 Lesons
2 hours 37 minutes
On-Demand
Free-Video
LLMOps Space

Fine-tuning LLMs with Hugging Face SFT and QLoRA - LLMOps Techniques

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Explore advanced LLM fine-tuning techniques, from specialized tuning to instruction enhancement. Learn dataset preparation, model optimization, and leverage powerful libraries for efficient fine-tuning and deployment.
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1 Lesons
54 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Llama2 7B QLora Fine Tuning with Chain-of-Thought Dataset

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Fine-tune Llama2 7B model using QLora with chain-of-thought dataset. Learn step-by-step process, access provided notebooks, and explore CodeLlama implementation for enhanced machine learning capabilities.
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1 Lesons
25 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Llama3 8B QLora Fine-Tuning with Chain-of-Thought Dataset

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Fine-tune Llama3 8B model using QLora with chain-of-thought dataset. Learn step-by-step process and access provided notebooks for Llama3, Llama2, and Mistral models.
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1 Lesons
28 minutes
On-Demand
Free-Video
Shaw Talebi

Local LLM Fine-tuning on Mac (M1 16GB) Using QLoRA and MLX

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Fine-tune a local LLM on M1 Mac using MLX and QLoRA. Adapt Mistral 7b to respond like you to YouTube comments, with step-by-step guidance and code examples.
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12 Lesons
24 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps: Fine-tuning Mistral 7B with PEFT, QLora, and MLFlow

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Fine-tune Mistral 7B using PEFT, QLora, and MLFlow techniques. Master advanced LLM optimization for improved performance and efficiency.
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1 Lesons
28 minutes
On-Demand
Free-Video
Trelis Research

Top Ten Tips for Fine-tuning Large Language Models

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Discover ten essential tips for effective fine-tuning of language models, from starting small to advanced techniques like LoRA and preference tuning. Gain practical insights for optimal results.
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23 Lesons
25 minutes
On-Demand
Free-Video
Linux Foundation

Unlocking Local LLMs with Quantization

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Discover how quantization optimizes LLMs for local deployment, from pre-training techniques to fine-tuning methods and inference optimization using cutting-edge approaches and community tools.
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1 Lesons
40 minutes
On-Demand
Free-Video
UofU Data Science

Parameter-Efficient Finetuning - QLoRA and LoRA Methods

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Explore parameter-efficient fine-tuning techniques with LoRA and QLoRA, learning how to optimize large language models while maintaining performance and reducing computational costs.
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1 Lesons
48 minutes
On-Demand
Free-Video
Shaw Talebi

QLoRA - How to Fine-tune an LLM on a Single GPU with Python Code

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Learn to fine-tune large language models on a single GPU using QLoRA. Explore quantization techniques, LoRA, and practical implementation with Python code for custom YouTube comment responses.
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12 Lesons
37 minutes
On-Demand
Free-Video
Trelis Research

Full Fine-Tuning vs LoRA and QLoRA - Comparison and Best Practices

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Explore full fine-tuning vs (Q)LoRA techniques, comparing VRAM usage, training time, and quality. Learn parameter selection, tips for QLoRA, and step-by-step guidance for TinyLlama and Mistral 7B fine-tuning.
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14 Lesons
53 minutes
On-Demand
Free-Video
Trelis Research

Fine-tuning Language Models for Structured Responses with QLoRa - Lecture

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Master fine-tuning language models for structured responses using QLoRa. Learn quantization, data setup, training, inference, and advanced techniques to enhance model performance and efficiency.
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8 Lesons
1 hour 5 minutes
On-Demand
Free-Video