LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  Agents   Benchmarks   LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Jan V3.5 4B by janhq

 »  All LLMs  »  janhq  »  Jan V3.5 4B   URL Share it on

  281   

Jan V3.5 4B 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: 0.27.

Base model:finetune:janhq/jan-... Base model:janhq/jan-v3-4b-bas...   Conversational   En   Endpoints compatible   Identity   Instruct   Math   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/janhq/Jan-v3.5-4B 

Jan V3.5 4B Benchmarks

LLME Score: 0.26823
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Jan V3.5 4B (janhq/Jan-v3.5-4B)
🌟 Advertise your project 🚀

Jan V3.5 4B Parameters and Internals

LLM NameJan V3.5 4B
Repository 🤗https://huggingface.co/janhq/Jan-v3.5-4B 
Base Model(s)  Jan V3 4B Base Instruct   janhq/Jan-v3-4B-base-instruct
Model Size4b
Required VRAM8.9 GB
Updated2026-06-04
Maintainerjanhq
Model Typeqwen3
Instruction-BasedYes
Model Files  4.7 GB: 1-of-2   4.2 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version4.57.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Errorsreplace

Best Alternatives to Jan V3.5 4B

Best Alternatives
Context / RAM
Downloads
Likes
Qwen3 4B Instruct 2507256K / 8.1 GB4833125869
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB84028179
CyberSecQwen 4B256K / 8 GB122411
Jan Code 4B256K / 8.9 GB40377
Qwen3 4B Elderly Sft Merged256K / 8.1 GB3430
Qwen3 4B DASD 32K256K / 8 GB4460
...king 2507 Heretic CodeFeedback256K / 8.1 GB180
SimpleSD 4B Instruct256K / 8.1 GB11084
Qwen3 4B Instruct 2507256K / 8.1 GB4128426
Qwen3 4B FitGPT AR EN Instruct256K / 8 GB2601
Note: green Score (e.g. "73.2") means that the model is better than janhq/Jan-v3.5-4B.

Rank the Jan V3.5 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  

What open-source LLMs or SLMs are you in search of? 54384 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a
  Support LLM Explorer