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Jupyter Agent Qwen3 4B Instruct by jupyter-agent

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Jupyter Agent Qwen3 4B Instruct is an open-source language model by jupyter-agent. Features: 4b LLM, VRAM: 16.1GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.21.

  Agent Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr...   Code   Conversational   Data-science Dataset:jupyter-agent/jupyter-...   En   Endpoints compatible   Instruct   Jupyter   Qwen   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jupyter-agent/jupyter-agent-qwen3-4b-instruct 

Jupyter Agent Qwen3 4B Instruct Benchmarks

LLME Score: 0.21015
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Jupyter Agent Qwen3 4B Instruct (jupyter-agent/jupyter-agent-qwen3-4b-instruct)
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Jupyter Agent Qwen3 4B Instruct Parameters and Internals

LLM NameJupyter Agent Qwen3 4B Instruct
Repository 🤗https://huggingface.co/jupyter-agent/jupyter-agent-qwen3-4b-instruct 
Base Model(s)  Qwen3 4B Instruct 2507   Qwen/Qwen3-4B-Instruct-2507
Model Size4b
Required VRAM16.1 GB
Updated2026-05-12
Maintainerjupyter-agent
Model Typeqwen3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen code
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.55.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than jupyter-agent/jupyter-agent-qwen3-4b-instruct.

Rank the Jupyter Agent Qwen3 4B Instruct 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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