Quantization — Topic Summaries
AI-powered summaries of 8 videos about Quantization.
8 summaries
Something Strange Happens When You Trust Quantum Mechanics
Quantum particles don’t follow a single, definite route between two points. Instead, they effectively “try” every possible path at once, and the...
Ollama - Local Models on your machine
Ollama is a user-friendly way to run large language models locally on a Mac or Linux machine by downloading them and serving them through a local...
Generative AI Fine Tuning LLM Models Crash Course
Fine-tuning large language models becomes practical on limited hardware when three ideas work together: quantization to shrink model weights,...
QLoRA is all you need (Fast and lightweight model fine-tuning)
QLoRA (quantized low-rank adapters) is positioned as a practical, lightweight way to fine-tune large language models without the months-long,...
EmbeddingGemma - Micro Embeddings for Mobile Devices
EmbeddingGemma is a family of tiny, text-only embedding models designed to run on-device, enabling retrieval, semantic search, clustering, and “micro...
Run any LLMs locally: Ollama | LM Studio | GPT4All | WebUI | HuggingFace Transformers
Running large language models locally boils down to one trade-off: keeping data on-device and gaining control over models and prompts, while paying...
Deploying Local LLM but It Is Slow? Here's How to Fix It (Hopefully) | LLMOps with vLLM
Deploying a local LLM can feel painfully slow when using the default Hugging Face Transformers inference pipeline, but switching to vLLM can cut...
Hardware/Mobile (7) - Testing & Deployment - Full Stack Deep Learning
Deploying deep learning models on mobile and embedded hardware is less about model design in the abstract and more about surviving the constraints of...