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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).
28 lut 2024 · Recent research, such as BitNet, is paving the way for a new era of 1-bit Large Language Models (LLMs). In this work, we introduce a 1-bit LLM variant, namely BitNet b1.58, in which every single parameter (or weight) of the LLM is ternary {-1, 0, 1}. It matches the full-precision (i.e., FP16 or BF16) Transformer LLM with the same model size and ...
18 wrz 2024 · BitNet is effective in delivering strong performance compared to baseline methods, especially at lower bit levels. According to the paper, BitNet achieves scores that are on par with 8-bit models but with significantly lower inference costs.
20 paź 2024 · "Recent research, such as BitNet [WMD+23], is paving the way for a new era of 1-bit Large Language Models (LLMs). In this work, we introduce a 1-bit LLM variant,namely BitNet b1.58, in which every single parameter (or weight) of the LLM isternary {-1, 0, 1}.
29 lut 2024 · Further highlighting its efficiency, BitNet b1.58 achieves a performance level comparable to full-precision LLaMA LLMs at a model size of 3B in terms of perplexity, while offering a speed 2.71 times greater and consuming 3.55 times less GPU memory.
Recent research, such as BitNet, is paving the way for a new era of 1-bit Large Language Models (LLMs). In this work, we introduce a 1-bit LLM variant, namely BitNet b1.58, in which every single parameter (or weight) of the LLM is ternary {-1, 0, 1}.
29 lut 2024 · BitNet b1.58 emerges as a solution, utilizing 1-bit ternary parameters to dramatically lighten the load on computational resources while maintaining high model performance. This section will...
