NJS26 by Supichi

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NJS26 is an open-source language model by Supichi. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, Merged, LLM Explorer Score: 0.21.

  Merged Model Base model:biomistral/biomistr... Base model:corticalstack/pasti...   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Supichi/NJS26 

NJS26 Benchmarks

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

NJS26 Parameters and Internals

LLM NameNJS26
Repository 🤗https://huggingface.co/Supichi/NJS26 
Base Model(s)  ...stiche Crown Clown 7B Dare DPO   BioMistral 7B   CorticalStack/pastiche-crown-clown-7b-dare-dpo   BioMistral/BioMistral-7B
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2026-05-21
MaintainerSupichi
Model Typemistral
Model Files  4.9 GB: 1-of-3   4.9 GB: 2-of-3   4.7 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB377916
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Hebrew Mistral 7B 200K256K / 30 GB137815
Astral 256K 7B V2250K / 14.4 GB50
Astral 256K 7B250K / 14.4 GB50
Note: green Score (e.g. "73.2") means that the model is better than Supichi/NJS26.

Rank the NJS26 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