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Qwen3 Jan V1 256K Ctx 6B Brainstorm20x by DavidAU

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  Arxiv:2401.02415   All uses cases   Autotrain compatible Base model:finetune:janhq/jan-...   Base model:janhq/jan-v1-4b   Brainstorm   Brainstorm20x   Chat   Code   Code generation   Codegen   Coder   Coding   Conversational   Creative   En   Endpoints compatible   Jan-v1   Merge   Qwen   Qwen3   Qwencoder   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DavidAU/Qwen3-Jan-v1-256k-ctx-6B-Brainstorm20x 

Qwen3 Jan V1 256K Ctx 6B Brainstorm20x Benchmarks

LLME Score: 0.26782
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 Jan V1 256K Ctx 6B Brainstorm20x (DavidAU/Qwen3-Jan-v1-256k-ctx-6B-Brainstorm20x)
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Qwen3 Jan V1 256K Ctx 6B Brainstorm20x Parameters and Internals

LLM NameQwen3 Jan V1 256K Ctx 6B Brainstorm20x
Repository 🤗https://huggingface.co/DavidAU/Qwen3-Jan-v1-256k-ctx-6B-Brainstorm20x 
Base Model(s)  Jan V1 4B   janhq/Jan-v1-4B
Model Size4b
Required VRAM11.9 GB
Updated2025-08-23
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 Length262144
Model Max Length262144
Transformers Version4.55.0
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-v1-256k-ctx-6B-Brainstorm20x.

Rank the Qwen3 Jan V1 256K Ctx 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  
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