What are the hardware requirements for Jan V1 4B?

Jan V1 4B requires approximately 8.1 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 Jan V1 4B and how large is it?

Jan V1 4B is developed by janhq, 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 Jan V1 4B?

Jan V1 4B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Jan V1 4B by janhq — VRAM 8.1GB, 256K context

Name: Jan V1 4B
Rating: 1 (1 reviews)
Author: janhq

Jan V1 4B is an open-source language model by janhq. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.33.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-think... Conversational Deploy:azure En Endpoints compatible Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/janhq/Jan-v1-4B

Jan V1 4B Benchmarks

LLME Score: 0.32809

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

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Jan V1 4B Parameters and Internals

LLM Name	Jan V1 4B
Repository 🤗	https://huggingface.co/janhq/Jan-v1-4B
Base Model(s)	Qwen3 4B Thinking 2507 Qwen/Qwen3-4B-Thinking-2507
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-03-30
Maintainer	janhq
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2 0.0 GB
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.52.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Quantized Models of the Jan V1 4B

Model	Likes	Downloads	VRAM
Jan V1 4B 8bit	3	51	4 GB

Best Alternatives to Jan V1 4B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4B Instruct 2507	256K / 8.1 GB	6381504	853
GRPO 4 70	256K / 8.1 GB	5	0
Qwen3 4B Thinking 2507	256K / 8.1 GB	830285	581
Lightning 4B	256K / 8.1 GB	13	6
OpenSonnet Lite MAX	256K / 8 GB	334	30
AgentCPM Explore	256K / 8.9 GB	1212	415
OpenSonnet Lite	256K / 8.1 GB	345	24
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	803780	75
CyberSecQwen 4B	256K / 8 GB	736	11
ChineseErrorCorrector4 4B	256K / 8.1 GB	157	4

Note: green Score (e.g. "73.2") means that the model is better than janhq/Jan-v1-4B.

Rank the Jan V1 4B 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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Release v20260328a

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Jan V1 4B by janhq