RichardErkhov/

duoqi_-_Nanbeige2-16B-Chat-gguf

Quantization made by Richard Erkhov.

Nanbeige2-16B-Chat - GGUF

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Introduction

A Llama version for Nanbeige-16B-Chat, which could be loaded by LlamaForCausalLM.

The Nanbeige2-16B-Chat is the latest 16B model developed by the Nanbeige Lab, which utilized 4.5T tokens of high-quality training data during the training phase. During the alignment phase, we initially trained our model using 1 million samples through Supervised Fine-Tuning (SFT). We then engaged in curriculum learning with 400,000 high-quality samples that presented a greater level of difficulty. Subsequently, we incorporated human feedback through the Direct Preference Optimization (DPO), culminating in the development of Nanbeige2-16B-Chat. Nanbeige2-16B-Chat has achieved superior performance across various authoritative benchmark datasets.