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Jupyter Agent Qwen3 4B Thinking by jupyter-agent

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

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

Jupyter Agent Qwen3 4B Thinking Benchmarks

LLME Score: 0.21225
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 Thinking (jupyter-agent/jupyter-agent-qwen3-4b-thinking)
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Jupyter Agent Qwen3 4B Thinking Parameters and Internals

LLM NameJupyter Agent Qwen3 4B Thinking
Repository 🤗https://huggingface.co/jupyter-agent/jupyter-agent-qwen3-4b-thinking 
Base Model(s)  Qwen3 4B Thinking 2507   Qwen/Qwen3-4B-Thinking-2507
Model Size4b
Required VRAM16.1 GB
Updated2026-05-06
Maintainerjupyter-agent
Model Typeqwen3
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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Qwen3 4B Thinking 2507256K / 8.1 GB570312589
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OpenSonnet Lite MAX256K / 8 GB33430
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OpenSonnet Lite256K / 8.1 GB34524
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB80378075
CyberSecQwen 4B256K / 8 GB78311
Note: green Score (e.g. "73.2") means that the model is better than jupyter-agent/jupyter-agent-qwen3-4b-thinking.

Rank the Jupyter Agent Qwen3 4B Thinking Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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