Long Document Processing Program
Utilizing the 256K context window feature of the model needs to be coupled with the following operational procedures:
- Document Preprocessing: First convert PDF/Word to plain text with the
tiktokenCount the number of tokens (about 1 token = 2 characters in Chinese), make sure not to exceed the 256K limit - Segmented loading strategy: For very long documents, the sliding window method can be used:
- set up
max_seq_length=256000 - Blocked by 10% overlap rate (e.g. 0-240K,216K-256K)
- Enter it block by block and use the
prefix="续前文摘要：..."Maintaining continuity
- set up
- Memory enhancement techniques: In the prompt, it asks"Generating three-paragraph summaries containing chapter highlights, core formulas, and conclusions."and specify output structure tags such as## focus ##
Hardware Recommendations
At least 40GB of video memory is required to process full-length contexts, and an A100-80GB or configuration is recommendedflashattentionOptimized 3090 dual card deployment.
This answer comes from the articleHunyuan-A13B: Efficient Open Source Large Language Modeling with Ultra-Long Context and Intelligent Reasoning SupportThe
May not be reproduced without permission:AI productivity tools " How to realize the efficient analysis of 200K+ length technical documents by Hunyuan-A13B?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil