Generalizing an LLM from 8k to 1M Context using Qwen-Agent
Source
qwenlm.github.io
Date
Why it matters
Shows how to make a small-context model comprehend million-token documents by building a chunking-and-reasoning agent rather than relying on RAG or expensive long-context models — a directly applicable pattern for engineers hitting context limits.
We’ve created an agent using Qwen2 models with an 8k context size to understand documents with 1M tokens, surpassing RAG and native long-context models.
This agent was also used to generate data for training new long-context Qwen models.
Transcript
We’ve created an agent using Qwen2 models with an 8k context size to understand documents with 1M tokens, surpassing RAG and native long-context models. This agent was also used to generate data for training new long-context Qwen models.