Tag: Llama

Fine-Tune Your Own Llama 2 Model in a Colab Notebook

With the release of LLaMA v1, we saw a Cambrian explosion of fine-tuned models, including Alpaca, Vicuna, and WizardLM, among others. This trend encouraged different businesses to launch their own base models with licenses suitable for commercial use, such as OpenLLaMA, Falc...

Try Code Llama AI Tool for Coding

Code Llama is an exciting new AI tool for coding that has recently been introduced by Meta. This state-of-the-art large language model (LLM) is designed to assist programmers in writing more robust and well-documented software. With its potential as a productivity and educational tool, Code Llama ai...

Fine-Tune Your Own Llama 2 Model in a Colab Notebook

With the release of LLaMA v1, we saw a Cambrian explosion of fine-tuned models, including Alpaca, Vicuna, and WizardLM, among others. This trend encouraged different businesses to launch their own base models with licenses suitable for commercial use, such as OpenLLaMA, Falc...

How to Run Llama 2 on Mac M1 and Train with Your Own Data

Llama 2 is the next generation of large language model (LLM) developed and released by Meta, a leading AI research company. It is pretrained on 2 trillion tokens of public data and is designed to enable developers and organizations to build generative AI-powered tools and experiences. Llam...

Fine-Tune Your Own Llama 2 Model in a Colab Notebook

With the release of LLaMA v1, we saw a Cambrian explosion of fine-tuned models, including Alpaca, Vicuna, and WizardLM, among others. This trend encouraged different businesses to launch their own base models with licenses suitable for commercial use, such as OpenLLaMA, Falc...

Increase Llama 2's Latency and Throughput Performance by Up to 4X

Introduction In the realm of large language models (LLMs), integrating these advanced systems into real-world enterprise applications is a pressing need. However, the pace at which generative AI is evolving is so quick that most can’t keep up with the advancements. One solution is to use...

GPTQ or bitsandbytes: Which Quantization Method to Use for LLMs — Examples with Llama 2

As large language models (LLM) got bigger with more and more parameters, new techniques to reduce their memory usage have also been proposed. One of the most effective methods to reduce the model size in memory is quantization. You can see quantization as a compression technique for LLMs. In...

Fine-Tune Your Own Llama 2 Model in a Colab Notebook

Llama 2, the latest innovation from Meta AI, a renowned AI research company, marks a new era in large language models (LLMs). Designed to excel across a wide range of natural language tasks, Llama 2 comprises a suite of pre-trained and fine-tuned models, spanning the spectrum from 7 billion to 70 bi...

Meta’s New LLaMa AI Model is a Gift to the World

In the biggest news of recent months, Meta has launched the second version of its world-famous LLM, LLaMa, and in the process has also released its first chatbot, LLaMa-2-Chat, the first real threat Meta has launched against the king, ChatGPT. But this isn’t your ordinary “look h...

This Is Why You Can’t Use Llama-2

Open-Source Foundation Models We have seen an explosion of open-source foundation models with the likes of Llama-2, Falcon, and Bloom, to name a few. However, the largest of these models are pretty much impossible to use for a person of modest means. Large language models have a...

Increase Llama 2's Latency and Throughput Performance by Up to 4X

In the realm of large language models (LLMs), integrating these advanced systems into real-world enterprise applications is a pressing need. However, the pace at which generative AI is evolving is so quick that most can’t keep up with the advancements. One solution is to use managed service...

Topic Modeling with Llama 2

With the advent of Llama 2, running strong LLMs locally has become more and more a reality. Its accuracy approaches OpenAI’s GPT-3.5, which serves well for many use cases. In this article, we will explore how we can use Llama2 for Topic Modeling without the need to pass every single do...

Fine-Tuning a Llama-2 7B Model for Python Code Generation

About 2 weeks ago, the world of generative AI was shocked by the company Meta's release of the new Llama-2 AI model. Its predecessor, Llama-1, was a breaking point in the LLM industry, as with the release of its weights along with new finetuning techniques, there was a massive creation of open-s...

Fine-Tune Your Own Llama 2 Model in a Colab Notebook

With the release of LLaMA v1, we saw a Cambrian explosion of fine-tuned models, including Alpaca, Vicuna, and WizardLM, among others. This trend encouraged different businesses to launch their own base models with licenses suitable for commercial use, such as OpenLLaMA, Falc...

LangChain + Streamlit+ Llama : Bringing Conversational AI to Your Local Machine

In the past few months, Large Language Models (LLMs) have gained significant attention, capturing the interest of developers across the planet. These models have created exciting prospects, especially for developers working on chatbots, personal assistants, and content creation. The possib...

Everything You Need To Know About Meta’s Code-Llama!

Code-LLama is a family of LLMs based LLama2 dedicated for coding tasks. It already comes with a set of improvement and differences from previous Coding LLMs. Coding Llama picture generated by Replicate Introducing The Family Members Code Llama Specialization Pipeline Co...

This Is Why You Can’t Use Llama-2

Open-Source Foundation Models We have seen an explosion of open-source foundation models with the likes of Llama-2, Falcon, and Bloom, to name a few. However, the largest of these models are pretty much impossible to use for a person of modest means. Large language models have a...

LangChain + Streamlit+ Llama : Bringing Conversational AI to Your Local Machine

In the past few months, Large Language Models (LLMs) have gained significant attention, capturing the interest of developers across the planet. These models have created exciting prospects, especially for developers working on chatbots, personal assistants, and content creation. The possib...

Fine-Tuning a Llama-2 7B Model for Python Code Generation

About 2 weeks ago, the world of generative AI was shocked by the company Meta's release of the new Llama-2 AI model. Its predecessor, Llama-1, was a breaking point in the LLM industry, as with the release of its weights along with new finetuning techniques, there was a massive creation of open-s...

Quantize Llama models with GGML and llama.cpp

Due to the massive size of Large Language Models (LLMs), quantization has become an essential technique to run them efficiently. By reducing the precision of their weights, you can save memory and speed up inference while preserving most of the model’s performance. Recently, 8-bit and 4-bit qu...

Topic Modeling with Llama 2

With the advent of Llama 2, running strong LLMs locally has become more and more a reality. Its accuracy approaches OpenAI’s GPT-3.5, which serves well for many use cases. In this article, we will explore how we can use Llama2 for Topic Modeling without the need to pass every single do...

Fine-Tuning a Llama-2 7B Model for Python Code Generation

About 2 weeks ago, the world of generative AI was shocked by the company Meta's release of the new Llama-2 AI model. Its predecessor, Llama-1, was a breaking point in the LLM industry, as with the release of its weights along with new finetuning techniques, there was a massive creation of open-s...

Using LLaMA 2.0, FAISS and LangChain for Question-Answering on Your Own Data

Over the past few weeks, I have been playing around with several large language models (LLMs) and exploring their potential with all sorts of methods available on the internet, but now it’s time for me to share what I have learned so far! I was super excited to know that Meta released the n...

Fine-tuning Llama 2 for news category prediction: A step-by-step comprehensive guide to fine-tuning any LLM (Part 1)

In this blog, I will guide you through the process of fine-tuning Meta’s Llama 2 7B model for news article categorization across 18 different categories. I will utilize a news classification instruction dataset that I previously created using GPT 3.5. If you’re interested ...

Running Llama 2 on CPU Inference Locally for Document Q&A

Third-party commercial large language model (LLM) providers like OpenAI’s GPT4 have democratized LLM use via simple API calls. However, teams may still require self-managed or private deployment for model inference within enterprise perimeters due to various reasons around data privacy and com...

Fine-tuning Llama 2 for news category prediction: A step-by-step comprehensive guide to…

In this blog, I will guide you through the process of fine-tuning Meta’s Llama 2 7B model for news article categorization across 18 different categories. I will utilize a news classification instruction dataset that I previously created using GPT 3.5. If you’re interested ...

Fine-tune Llama 2 on Your Computer with QLoRa and TRL

Llama 2 is a state-of-the-art large language model (LLM) released by Meta. In the paper presenting the model, Llama 2 demonstrates impressive capabilities on public benchmarks for various natural language generation and coding tasks. Meta also released Chat versions of Llama 2. These chat mode...

Run Llama 2 on Your CPU with Rust

A new one-file Rust implementation of Llama 2 is now available thanks to Sasha Rush. It’s a Rust port of Karpathy’s llama2.c. It already supports the following features: Support for 4-bit GPT-Q Quantization SIMD support for fast CPU inference Support for Grouped ...

Guide for Running Llama 2 Using LLAMA.CPP on AWS Fargate

Llama 2 is a new family of open-source large language models released by Meta (more on that here https://ai.meta.com/llama/) and which became a standard in the industry for using in cases with self-hosted LLM. LLAMA.CPP is an open-source framework that is focused on running Llama models on C...