Jan-Nano-128k: Empowering deeper research through extended context understanding.

GitHub License

Jan-Nano-128k

Authors: Alan Dao, Bach Vu Dinh, Thinh Le

Overview

Jan-Nano-128k represents a significant advancement in compact language models for research applications. Building upon the success of Jan-Nano, this enhanced version features a native 128k context window that enables deeper, more comprehensive research capabilities without the performance degradation typically associated with context extension methods.

Key Improvements:

  • πŸ” Research Deeper: Extended context allows for processing entire research papers, lengthy documents, and complex multi-turn conversations
  • ⚑ Native 128k Window: Built from the ground up to handle long contexts efficiently, maintaining performance across the full context range
  • πŸ“ˆ Enhanced Performance: Unlike traditional context extension methods, Jan-Nano-128k shows improved performance with longer contexts

This model maintains full compatibility with Model Context Protocol (MCP) servers while dramatically expanding the scope of research tasks it can handle in a single session.

Evaluation

Jan-Nano-128k has been rigorously evaluated on the SimpleQA benchmark using our MCP-based methodology, demonstrating superior performance compared to its predecessor:

image/png

Why Jan-Nano-128k?

Traditional approaches to extending context length, such as YaRN (Yet another RoPE extensioN), often result in performance degradation as context length increases. Jan-Nano-128k breaks this paradigm:

This fundamental difference makes Jan-Nano-128k ideal for research applications requiring deep document analysis, multi-document synthesis, and complex reasoning over large information sets.

Use it with Jan (UI)

  1. Install Jan using Quickstart

Original weight: https://huggingface.co/Menlo/Jan-nano-128k

Recommended Sampling Parameters

Temperature: 0.7
Top-p: 0.8
Top-k: 20
Min-p: 0.0

🀝 Community & Support

πŸ“„ Citation

@model{jan-nano-128k,
  title={Jan-Nano-128k: Deep Research with Extended Context},
  author={Dao, Alan and Dinh, Bach Vu and Le Thinh},
  year={2024},
  url={https://huggingface.co/Menlo/Jan-nano-128k}
}

Jan-Nano-128k: Empowering deeper research through extended context understanding.

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