Unsloth Dynamic GGUFs: How Extreme Model Compression Outperforms AI Giants Compressing a large language model by 75% and still outperforming the latest releases from OpenAI and Anthropic is the promise of Unsloth Dynamic GGUFs. Their integration with the Aider Polyglot bench... Aider Polyglot benchmarking DeepSeek LLMs model compression open-source AI quantization Unsloth
TorchAO: A PyTorch-Native Shortcut To Smaller, Faster Models TorchAO is PyTorch's native toolkit for model efficiency: it unifies post-training quantization (PTQ), quantization-aware training (QAT), float8 (FP8) training, and structured sparsity in one coherent... deep learning FP8 model efficiency open source PyTorch QAT quantization sparsity TorchAO
BitNet: 1-bit LLMs Land With Practical Inference on CPUs and GPUs BitNet from Microsoft Research is the official C++ inference stack for native 1-bit large language models, centered on BitNet b1.58. The repo ships fast, lossless ternary kernels for CPUs, a CUDA W2A8... 1-bit LLM BitNet CPU GGUF GPU inference llama.cpp quantization T-MAC
AMD Ryzen AI Max+ Upgrade: Powering 128B-Parameter LLMs Locally on Windows PCs With AMD's latest update deploying massive language models, up to 128 billion parameters, directly on your Windows laptop is now a possible. AMD’s Ryzen AI Max+ is a breakthrough that brings state-of-... AMD context window large language models LLM deployment local AI quantization Ryzen AI Windows AI