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Qwen3 Jan Nano 128K 6B Brainstorm20x by DavidAU

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Qwen3 Jan Nano 128K 6B Brainstorm20x is an open-source language model by DavidAU. Features: 6b LLM, VRAM: 11.9GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.19.

  Arxiv:2401.02415 Base model:finetune:menlo/jan-...   Base model:menlo/jan-nano-128k   Brainstorm   Brainstorm20x   Chat   Code   Code generation   Codegen   Coder   Coding   Conversational   En   Endpoints compatible   Merge   Qwen   Qwen3   Qwencoder   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DavidAU/Qwen3-Jan-Nano-128k-6B-Brainstorm20x 

Qwen3 Jan Nano 128K 6B Brainstorm20x Benchmarks

LLME Score: 0.19403
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 Jan Nano 128K 6B Brainstorm20x (DavidAU/Qwen3-Jan-Nano-128k-6B-Brainstorm20x)

Qwen3 Jan Nano 128K 6B Brainstorm20x Parameters and Internals

LLM NameQwen3 Jan Nano 128K 6B Brainstorm20x
Repository 🤗https://huggingface.co/DavidAU/Qwen3-Jan-Nano-128k-6B-Brainstorm20x 
Base Model(s)  Jan Nano 128K   Menlo/Jan-nano-128k
Model Size6b
Required VRAM11.9 GB
Updated2026-05-17
MaintainerDavidAU
Model Typeqwen3
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   1.9 GB: 3-of-3
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.52.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than DavidAU/Qwen3-Jan-Nano-128k-6B-Brainstorm20x.

Rank the Qwen3 Jan Nano 128K 6B Brainstorm20x Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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