What are the hardware requirements for Jupyter Agent Qwen3 4B Thinking?

Jupyter Agent Qwen3 4B Thinking requires approximately 16.1 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Jupyter Agent Qwen3 4B Thinking and how large is it?

Jupyter Agent Qwen3 4B Thinking is developed by jupyter-agent, a model with 4b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Jupyter Agent Qwen3 4B Thinking?

Jupyter Agent Qwen3 4B Thinking is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Jupyter Agent Qwen3 4B Thinking by jupyter-agent — VRAM 16.1GB, 256K context

Name: Jupyter Agent Qwen3 4B Thinking
Author: jupyter-agent

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: 0.2.

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 Parameters and Internals

LLM Name	Jupyter 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 Size	4b
Required VRAM	16.1 GB
Updated	2026-08-06
Maintainer	jupyter-agent
Model Type	qwen3
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 Languages	en code
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.55.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the Jupyter Agent Qwen3 4B Thinking capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Jupyter Agent Qwen3 4B Thinking

Best Alternatives	Context / RAM	Downloads	Likes
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
GRPO 4 70	256K / 8.1 GB	11	0
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
Fable Traces	256K / 8.1 GB	343	210
Lightning 4B	256K / 8.1 GB	13	6
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Qwen3 4B Sft Prm	256K / 17.6 GB	602	0
...fetensors.chatgpt GPT Codex V2	256K / 8.1 GB	666	2
...rs.chatgpt GPT Gpt5.1 Thinking	256K / 8.1 GB	497	4

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