metadata

license: apache-2.0
language:
  - en
base_model: Menlo/Jan-nano-128k
base_model_relation: quantized
pipeline_tag: text-generation

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

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:

🔍 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
📈 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:

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)

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

Discussions: HuggingFace Community
Issues: GitHub Repository
Documentation: Official Docs

📄 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.