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L3.1 Noraian by djuna

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L3.1 Noraian is an open-source language model by djuna. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.15.

  Merged Model Base model:djuna/l3.1-romes-ni... Base model:dreadpoor/aurora fa... Base model:grimjim/llama-3-ins... Base model:v000000/l3.1-storni... Base model:valiantlabs/llama3.... Base model:vicgalle/configurab...   Conversational   Endpoints compatible   Instruct   Llama   Lora   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/djuna/L3.1-Noraian 

L3.1 Noraian Benchmarks

LLME Score: 0.15262
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
L3.1 Noraian (djuna/L3.1-Noraian)
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L3.1 Noraian Parameters and Internals

Additional Notes 
This model is a merge of several pre-trained models using the dell merge method.
LLM NameL3.1 Noraian
Repository 🤗https://huggingface.co/djuna/L3.1-Noraian 
Base Model(s)  djuna/L3.1-Romes-Ninomos   Aurora Faustus 8B LINEAR   ... Instruct Abliteration LoRA 8B   ValiantLabs/Llama3.1-8B-ShiningValiant2   v000000/L3.1-Storniitova-8B   vicgalle/Configurable-Hermes-3-Llama-3.1-8B   djuna/L3.1-Romes-Ninomos   DreadPoor/Aurora_faustus-8B-LINEAR   grimjim/Llama-3-Instruct-abliteration-LoRA-8B   ValiantLabs/Llama3.1-8B-ShiningValiant2   v000000/L3.1-Storniitova-8B   vicgalle/Configurable-Hermes-3-Llama-3.1-8B
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2026-05-22
Maintainerdjuna
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.44.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|im_end|>
Vocabulary Size128291
LoRA ModelYes
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than djuna/L3.1-Noraian.

Rank the L3.1 Noraian 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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