Tifa-Deepsex-14b-CoT realizes 128k token context window through three major technological innovations:
- Sparse Attention Optimization: Reducing Long Text Memory Usage by 67% Using Ring Attention-like Memory Management Algorithm
- Chunking mechanism: Supports ultra-long text generation on consumer GPUs (e.g., 24G RAM) by means of segmented loading of GGUF format models.
- context compressionBuilt-in semantic keyframe extraction module automatically filters redundant information and maintains 93%'s key information retention rate at 100,000 words of input.
This feature enables the model to improve character setting consistency by 4.3 times over traditional 8k context models when generating novels with more than 20 chapters, making it the longest context-supported authoring LLM in the Chinese language domain at present.
This answer comes from the articleTifa-Deepsex-14b-CoT: a large model that specializes in roleplaying and ultra-long fiction generationThe
May not be reproduced without permission:AI productivity tools " 128k Ultra-Long Context Support is a Technical Breakthrough for Tifa-Deepsex-14b-CoT
