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Jan V3 4B Base Instruct by janhq

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Jan V3 4B Base Instruct is an open-source language model by janhq. Features: 4b LLM, VRAM: 8.9GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.25.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr...   Code   Conversational   En   Endpoints compatible   Instruct   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/janhq/Jan-v3-4B-base-instruct 

Jan V3 4B Base Instruct Benchmarks

LLME Score: 0.24604
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Jan V3 4B Base Instruct (janhq/Jan-v3-4B-base-instruct)
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Jan V3 4B Base Instruct Parameters and Internals

LLM NameJan V3 4B Base Instruct
Repository 🤗https://huggingface.co/janhq/Jan-v3-4B-base-instruct 
Base Model(s)  Qwen3 4B Instruct 2507   Qwen/Qwen3-4B-Instruct-2507
Model Size4b
Required VRAM8.9 GB
Updated2026-05-16
Maintainerjanhq
Model Typeqwen3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   3.9 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.57.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Errorsreplace

Quantized Models of the Jan V3 4B Base Instruct

Model
Likes
Downloads
VRAM
Jan V3 4B Base Instruct 4bit22512 GB
Jan V3 4B Base Instruct 8bit3324 GB

Best Alternatives to Jan V3 4B Base Instruct

Best Alternatives
Context / RAM
Downloads
Likes
FastContext 1.0 4B SFT256K / 8.1 GB5735357
FastContext 1.0 4B RL256K / 8.1 GB455961
Qwen3 4B Instruct 2507256K / 8.1 GB5455321886
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB84028179
Agents K1256K / 8.8 GB60120
CyberSecQwen 4B256K / 8 GB61614
Qwen3 4B Elderly Sft Merged256K / 8.1 GB3780
Jan Code 4B256K / 8.9 GB41778
Qwen3 4B DASD 32K256K / 8 GB850
Qwen3 4B Instruct 2507256K / 8.1 GB4128426
Note: green Score (e.g. "73.2") means that the model is better than janhq/Jan-v3-4B-base-instruct.

Rank the Jan V3 4B Base 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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