Tag: quantization
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Hacker News: SVDQuant: 4-Bit Quantization Powers 12B Flux on a 16GB 4090 GPU with 3x Speedup
Source URL: https://hanlab.mit.edu/blog/svdquant Source: Hacker News Title: SVDQuant: 4-Bit Quantization Powers 12B Flux on a 16GB 4090 GPU with 3x Speedup Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The provided text discusses the innovative SVDQuant paradigm for post-training quantization of diffusion models, which enhances computational efficiency by quantizing both weights and activations to…
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Simon Willison’s Weblog: SmolLM2
Source URL: https://simonwillison.net/2024/Nov/2/smollm2/#atom-everything Source: Simon Willison’s Weblog Title: SmolLM2 Feedly Summary: SmolLM2 New from Loubna Ben Allal and her research team at Hugging Face: SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters. They are capable of solving a wide range of tasks while being lightweight enough…
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The Register: Apple throws shade on pokey AI PCs, claims its maxed out M4 chips are 4x faster
Source URL: https://www.theregister.com/2024/10/31/apple_m4_ai_chip/ Source: The Register Title: Apple throws shade on pokey AI PCs, claims its maxed out M4 chips are 4x faster Feedly Summary: Busy week for Cupertino sees shrunken Mac minis, updated lappies, and new SoCs With the arrival of its M4 silicon on the Mac this week, Apple wants the world to…
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Hacker News: VPTQ: Extreme low-bit Quantization for real LLMs
Source URL: https://github.com/microsoft/VPTQ Source: Hacker News Title: VPTQ: Extreme low-bit Quantization for real LLMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses a novel technique called Vector Post-Training Quantization (VPTQ) designed for compressing Large Language Models (LLMs) to extremely low bit-widths (under 2 bits) without compromising accuracy. This innovative method can…