This is a imatrix MXFP4_MOE quantization of the model QwenLong-L1.5-30B-A3B, based on the imatrix from mradermacher. QwenLong-L1.5: Post-Training Recipe for Long-Context Reasoning and Memory Management Weizhou Shen, Ziyi Yang, Chenliang Li, Zhiyuan Lu, Miao Peng, Huashan Sun, Yingcheng Shi, Shengyi Liao, Shaopeng Lai, Bo Zhang, Dayiheng Liu, Fei Huang, Jingren Zhou, Ming Yan†**_ Long-context reasoning is a critical capability for modern Large Language Models (LLMs), yet a significant gap exists in the post-training stage. The field lacks a mature, end-to-end system that provides: (1) a scalable pipeline for synthesizing challenging long-context reasoning data, (2) reinforcement learning (RL) methods tailored to the nuances of long-context reasoning, and (3) agent architectures designed to operate on information streams that exceed the model’s context capacity. In this work, we introduce QwenLong-L1.5, a long-context reasoning model built upon Qwen3-30B-A3B-Thinking, augmented with memory mechanisms to process tasks far beyond its physical context window. Our core contribution is a full post-training recipe that unifies data synthesis, training methodologies, and agent…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: noctrex
Теги: gguf, endpoints_compatible, imatrix, conversational
Лайков: 3 | Загрузок: 26
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
