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Nart 7B by jerryjalapeno

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Nart 7B is an open-source language model by jerryjalapeno. Features: 7b LLM, VRAM: 27GB, Context: 2K, License: cc-by-nc-nd-4.0, LLM Explorer Score: 0.08.

  Endpoints compatible   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jerryjalapeno/nart-7b 

Nart 7B Benchmarks

LLME Score: 0.07985
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nart 7B (jerryjalapeno/nart-7b)
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Nart 7B Parameters and Internals

LLM NameNart 7B
Repository 🤗https://huggingface.co/jerryjalapeno/nart-7b 
Model Size7b
Required VRAM27 GB
Updated2026-05-02
Maintainerjerryjalapeno
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3   9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3   0.0 GB
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-nd-4.0
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than jerryjalapeno/nart-7b.

Rank the Nart 7B 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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