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bitnet.cpp is the official inference framework for 1-bit LLMs (e.g., BitNet b1.58). It offers a suite of optimized kernels, that support fast and lossless inference of 1.58-bit models on CPU (with NPU and GPU support coming next).
README.md. bitnet.cpp is the official inference framework for 1-bit LLMs (e.g., BitNet b1.58). It offers a suite of optimized kernels, that support fast and lossless inference of 1.58-bit models on CPU (with NPU and GPU support coming next).
25 paź 2024 · Overview of Lossless Inferencing through bitnet.cpp. The official inference framework for 1-bit LLMs such as BitNet 1.58 is bitnet.cpp, which Microsoft recently open-sourced. It offers a set of optimised kernels that support fast and lossless inference of 1.58-bit models on the CPU.
18 paź 2024 · bitnet.cpp is the official framework for inference with 1-bit LLMs (e.g., BitNet b1.58). It includes a set of optimized kernels for fast and lossless inference of 1.58-bit models on...
arXiv. Publication. The increasing size of large language models has posed challenges for deployment and raised concerns about environmental impact due to high energy consumption. In this work, we introduce BitNet, a scalable and stable 1-bit Transformer architecture designed for large language models.
18 paź 2024 · Technically, bitnet.cpp is a powerful inference framework designed to support efficient computation for 1-bit LLMs, including the BitNet b1.58 model. The framework includes a set of optimized kernels tailored to maximize the performance of these models during inference on CPUs.
28 lut 2024 · Community. ybelkada. Feb 28. Very nice paper that introduces a new paradigm for LLM quantization (ternary weights for linear layers {-1, 0, 1} resulting in removing the need of having multiplications in matmul + int8 activations)
