This model is a full-parameter supervised fine-tune (SFT) of XingChen-AGI/Xing4.0-29B-A4B, specialized for Chinese and English financial-domain tasks. > [!IMPORTANT] > This repository requires trustremotecode=True. It ships custom modeling code > (modelingxing40.py, configurationxing40.py, tokenizationxing40.py) and > declares an automap in config.json. Do not use trustremotecode=False`. Xing4.0-29B-A4B is developed by China Telecom AI Technology Co., Ltd. (中电信人工智能科技有限公司). It is a Mixture-of-Experts model in the Xing series (formerly the TeleChat series) with 29B total parameters, of which only ~4B are activated per token. It uses the mHC + MLA + MTP architecture, natively supports a 256K context window (extensible to 512K), and was trained on Ascend NPU clusters with the MindSpore framework. Approximately 368K financial-domain multi-turn chat samples (finsftv1368kmessages.jsonl, 368,415 records), aggregated from publicly available financial NLP datasets and corpora, covering: — Financial examinations / certification QA — accounting, securities, and finance exam questions with explanations (largest component). — Financial sentiment classification — classifying financial news and…
Модальности:
Генерация текста
Области применения:
Диалог / чат Финансы
Задача: Генерация текста
Автор: HITSZ-TMG
Теги: xing4_0, finance, financial-nlp, fine-tuned, sft, MoE, MLA, custom_code
Лайков: 3 | Загрузок: 197
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
