Over 60 figures and diagrams of LLMs, quantization, low-rank adapters (LoRA), and chat templates FREE TO USE in your blog posts, slides, presentations, or papers.
A flexible utility for converting tensor precision in PyTorch models and safetensors files, enabling efficient deployment across various platforms.
Converts a floating-point number or hexadecimal representation of a floating-point numbers into various formats and displays them into binary/hexadecimal.
Python implementations for multi-precision quantization in computer vision and sensor fusion workloads, targeting the XR-NPE Mixed-Precision SIMD Neural Processing Engine. The code includes visual inertial odometry (VIO), object classification, and eye gaze extraction code in FP4, FP8, Posit4, Posit8, and BF16 formats.
Ultralytics YOLO11 🚀 with Prodigy Optimizer and BF16 precision
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