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Jan Nano 128K by Menlo

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Jan Nano 128K is an open-source language model by Menlo. Features: 4b LLM, VRAM: 8.1GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.27.

  Arxiv:2506.22760 Base model:finetune:menlo/jan-...   Base model:menlo/jan-nano   Conversational   En   Endpoints compatible   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Menlo/Jan-nano-128k 

Jan Nano 128K Benchmarks

LLME Score: 0.27152
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Jan Nano 128K (Menlo/Jan-nano-128k)
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Jan Nano 128K Parameters and Internals

LLM NameJan Nano 128K
Repository 🤗https://huggingface.co/Menlo/Jan-nano-128k 
Base Model(s)  Jan Nano   Menlo/Jan-nano
Model Size4b
Required VRAM8.1 GB
Updated2026-04-11
MaintainerMenlo
Model Typeqwen3
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.52.4
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Jan Nano 128K

Model
Likes
Downloads
VRAM
Jan Nano 128K 4bit2122 GB

Best Alternatives to Jan Nano 128K

Best Alternatives
Context / RAM
Downloads
Likes
Qwen3 4B Thinking 2507256K / 8.1 GB1676918575
GRPO 4 70256K / 8.1 GB200
Qwen3 4B Instruct 2507256K / 8.1 GB1473674320
QED Nano256K / 8.1 GB681686
Lightning 4B256K / 8.1 GB136
Jan V1 4B256K / 8.1 GB108354353
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB71535873
Jan Code 4B256K / 8.9 GB48975
...en3.6 Plus Reasoning Distilled256K / 8.1 GB10873
AgentCPM Explore256K / 8.9 GB129328
Note: green Score (e.g. "73.2") means that the model is better than Menlo/Jan-nano-128k.

Rank the Jan Nano 128K 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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