List: FineTuning_Models_QLORA | Curated by Plaban Nayak

Feb 11, 2025
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FineTuning_Models_QLORA
Ertuğrul Demir
Reasoning Models at HomeHow to Train Your Own Specialized Reasoning Model at Home
Feb 8
1
Feb 8
1
In
TDS Archive
by
Benjamin Marie
Multi-GPU Fine-tuning for Llama 3.1 70B with FSDP and QLoRAWhat you can do with only 2x24 GB GPUs and a lot of CPU RAM
Aug 8, 2024
2
Aug 8, 2024
2
Abonia Sojasingarayar
Running Ollama in Google Colab (Free Tier)A Step-by-Step Tutorial
Sep 16, 2024
6
Sep 16, 2024
6
Cobus Greyling
Emergence of Large Action Models (LAMs) and Their Impact on AI AgentsWhile LLMs are great for understanding and producing unstructured content, LAMs are designed to bridge the gap by turning language into…
Sep 13, 2024
2
Sep 13, 2024
2
In
Towards AI
by
Karan Kaul | カラン
Fine-Tune Llama3.1 8b in 2 Mins with only 12 training samples!Teach Llama3.1 your output format by creating a small dataset, then fine-tuning using Unsloth & Google Colab.
Sep 8, 2024
13
Sep 8, 2024
13
In
TDS Archive
by
Shaw Talebi
Compressing Large Language Models (LLMs)Make LLMs 10X smaller without sacrificing performance
Aug 30, 2024
5
Aug 30, 2024
5
In
TDS Archive
by
Marco Peixeiro
Time-LLM: Reprogram an LLM for Time Series ForecastingDiscover the architecture of Time-LLM and apply it in a forecasting project with Python
Mar 5, 2024
3
Mar 5, 2024
3
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Benjamin Marie
RAG and Long-context LLMs, Which One to Choose?SummHay: A New Benchmark
Jul 10, 2024
Jul 10, 2024
In
Data Science at Microsoft
by
Jane Huang
Evaluating LLM systems: Metrics, challenges, and best practicesA detailed consideration of approaches to evaluation and selection
Mar 5, 2024
21
Mar 5, 2024
21
In
TDS Archive
by
Marius Steger
Fine-Tune the Audio Spectrogram Transformer With 🤗 TransformersLearn how to fine-tune the Audio Spectrogram Transformer model for audio classification of your own data using the Hugging Face Ecosystem.
Aug 21, 2024
2
Aug 21, 2024
2
Mastering LLM (Large Language Model)
How Much GPU Memory is Needed to Serve a Large Language Model (LLM)?In nearly all LLM interviews, there’s one question that consistently comes up: “How much GPU memory is needed to serve a Large Language…
Aug 17, 2024
20
Aug 17, 2024
20
In
TDS Archive
by
Mengliu Zhao
A Practical Guide to Contrastive LearningHow to build your very first SimSiam model with FashionMNIST
Jul 30, 2024
Jul 30, 2024
In
Mad Chatter Tea Party
by
Nicola Procopio
Matryoshka Embedding Model for Ordinary PeopleA few months ago, after years of inaction, Open AI released its new embedding models text-embedding-3-*. Among the new features of these…
May 9, 2024
May 9, 2024
In
TDS Archive
by
Stefan Krawczyk
How to Build a Streaming Agent with Burr, FastAPI, and ReactAn overview of how to leverage streaming using open source tools applied to building a simple agentic chat bot
Jul 25, 2024
Jul 25, 2024
In
TDS Archive
by
Maxime Labonne
Fine-Tune Llama 3.1 Ultra-Efficiently with UnslothA beginner’s guide to state-of-the-art supervised fine-tuning
Jul 29, 2024
5
Jul 29, 2024
5
Thiyagarajan Palaniyappan
Comprehensive Evaluation Metrics for Retrieval-Augmented Generation (RAG)Basic Performance Metrics
Jul 9, 2024
Jul 9, 2024
In
TDS Archive
by
Maarten Grootendorst
A Visual Guide to QuantizationDemystifying the compression of large language models
Jul 24, 2024
3
Jul 24, 2024
3
In
AI Advances
by
Ankush k Singal
LangGraph and MapReduce: A Dynamic Duo for Parallel ProcessingAnkush k Singal
Jul 23, 2024
Jul 23, 2024
Venkat Ram Rao
Training a Mini(114M Parameter) Llama 3 like Model from Scratchaka “How to Train you LLM”
Jul 21, 2024
2
Jul 21, 2024
2