by CapitalCode2020 · Agent Tool · ★ 121
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Infinite Retrieval Introduce Implementation of currently Submitting Paper: "Infinite Retrieval: Attention Enhanced LLMs in Long Context Processing", which can apply any Transformer-based LLMs(Large Language Moidels) to handle unlimited length texts without training. Notably,our method InfiniRretri can enbale the 0.5B(Qwen2.5-0.5B-Instruct), which originally had a maximum context length of 32K, to Haystack(retrieval) up over 1M tokens on Needle-In-a-Haystack(NIH) test, and even theoretically infinite-length. Our Method Worflow How to use Firstly, you can only using pip install package to get our method. Our Method Initialization It's very convenient. You just need to pass in the model and its tokenizer directly, or you can simply passing in the model name or path. Additionally, it should be noted that our method can only using in tranditional attention-based Transformer, and the parameter of "attnimplementation" currently should using "eager" or "sdpa", and .
| Stars | 121 |
| Forks | 10 |
| Category | Agent Tool |
| Quality Score | 57.5093487725507/100 |
| Open Issues | 6 |
| Last Updated | 2025-03-27 |
| Created | 2025-02-17 |
| Est. Tokens | ~173k |
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InfiniRetri2 is This is InfiniRetri, a tool enhance Transformer-based LLMs(Large Language Model) ablity to hangle Long-Context.. It is categorized as a Agent Tool with 121 GitHub stars.
You can find installation instructions and usage details in the InfiniRetri2 GitHub repository at github.com/CapitalCode2020/InfiniRetri2. The project has 121 stars and 10 forks, indicating an active community.
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