IEEE

An Information-Theoretic Framework for Receiver Quantization in Communication

Abstract: We investigate information-theoretic limits and design of communication under receiver quantization. Unlike most existing studies that focus on low-resolution quantization, this work is more ...
IEEE

Quantization via Distillation and Contrastive Learning

Abstract: Quantization is a critical technique employed across various research fields for compressing deep neural networks (DNNs) to facilitate deployment within resource-limited environments. This ...
Forbes

How To Learn Python For Free: 10 Online Resources

Send a note to Doug Wintemute, Kara Coleman Fields and our other editors. We read every email. By submitting this form, you agree to allow us to collect, store, and potentially publish your provided ...
Microsoft

Advances to low-bit quantization enable LLMs on edge devices

Large language models (LLMs) are increasingly being deployed on edge devices—hardware that processes data locally near the data source, such as smartphones, laptops, and robots. Running LLMs on these ...
marktechpost

Mistral.rs: A Fast LLM Inference Platform Supporting Inference on a Variety of Devices, Quantization, and Easy-to-Use Application with an Open-AI API Compatible HTTP Server and ...

A significant bottleneck in large language models (LLMs) that hampers their deployment in real-world applications is the slow inference speeds. LLMs, while powerful, require substantial computational ...
InfoWorld

Python scores its highest rating in Tiobe index

Python is the first programming language to climb to an 18% rating since Java, which rated 18% nearly eight years ago. Python has scored its highest rating ever, 18.04%, in Tiobe’s index of ...
InfoWorld

What is model quantization? Smaller, faster LLMs

Reducing the precision of model weights can make deep neural networks run faster in less GPU memory, while preserving model accuracy. If ever there were a salient example of a counter-intuitive ...
GitHub

KV cache quantization fails with GGML_ASSERT

I'm using llama-cpp-python==0.2.60, installed using this command CMAKE_ARGS="-DLLAMA_METAL=on" pip install llama-cpp-python. I'm able to load a model using type_k=8 and type_v=8 (for q8_0 cache).
marktechpost

HuggingFace Introduces Quanto: A Python Quantization Toolkit to Reduce the Computational and Memory Costs of Evaluating Deep Learning Models

HuggingFace Researchers introduce Quanto to address the challenge of optimizing deep learning models for deployment on resource-constrained devices, such as mobile phones and embedded systems. Instead ...
unite

Comparing Quantization Techniques for Scalable Vector Search

Imagine looking for similar things based on deeper insights instead of just keywords. That’s what vector databases and similarity searches help with. Vector databases enable vector similarity search.
Hacker

Model Quantization in Deep Neural Networks

I am an AI Reseach Engineer. I was formerly a researcher @Oxford VGG before founding the AI Bites YouTube channel. I am an AI Reseach Engineer. I was formerly a researcher @Oxford VGG before founding ...