Jan Nano 128K by Menlo

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  Arxiv:2506.22760   Autotrain compatible Base model:finetune:menlo/jan-...   Base model:menlo/jan-nano   Conversational   En   Endpoints compatible   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/Menlo/Jan-nano-128k 

Jan Nano 128K Benchmarks

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 ๐Ÿค—https://huggingface.co/Menlo/Jan-nano-128k 
Base Model(s)  Jan Nano   Menlo/Jan-nano
Model Size4b
Required VRAM8.1 GB
Updated2025-08-26
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 4bit21522 GB

Best Alternatives to Jan Nano 128K

Best Alternatives
Context / RAM
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Likes
Qwen3 4B Instruct 2507256K / 8.1 GB442938237
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Jan V1 4B256K / 8.1 GB9740314
Qwen3 4B Thinking 2507 FP8256K / 5.2 GB10337726
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB1688925
Qwen3 4B Instruct 2507256K / 8.1 GB157927
...4B Thinking 2507 DAG Reasoning256K / 16.1 GB88484
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... Instruct 2507 Gabliterated V1256K / 8.1 GB3787
... Instruct 2507 Gabliterated V2256K / 8.1 GB2456
Note: green Score (e.g. "73.2") means that the model is better than Menlo/Jan-nano-128k.

Rank the Jan Nano 128K 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124