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NUN FINAL by Novaciano

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NUN FINAL is an open-source language model by Novaciano. Features: 1b LLM, VRAM: 3GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.18.

  Merged Model   Autotrain compatible Base model:huihui-ai/llama-3.2... Base model:mylesgoose/llama-3....   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Novaciano/NUN-FINAL 

NUN FINAL Benchmarks

LLME Score: 0.18267
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NUN FINAL (Novaciano/NUN-FINAL)
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NUN FINAL Parameters and Internals

LLM NameNUN FINAL
Repository 🤗https://huggingface.co/Novaciano/NUN-FINAL 
Base Model(s)  mylesgoose/Llama-3.2-1B-Instruct-abliterated3   huihui-ai/Llama-3.2-1B-Instruct-abliterated   mylesgoose/Llama-3.2-1B-Instruct-abliterated3   huihui-ai/Llama-3.2-1B-Instruct-abliterated
Merged ModelYes
Model Size1b
Required VRAM3 GB
Updated2025-09-21
MaintainerNovaciano
Model Typellama
Instruction-BasedYes
Model Files  3.0 GB
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.49.0
Tokenizer ClassPreTrainedTokenizer
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

Best Alternatives to NUN FINAL

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Context / RAM
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Llama 3.2 1B Instruct128K / 2.5 GB54644911116
Shield Llama 3.2 1B Full FT CE128K / 2.5 GB6830
Llama 3.2 1B Instruct Bf16128K / 2.5 GB9245
....2 1B Sarcasm Rewriter Context128K / 2.5 GB2520
Llama 3.2 1B Instruct128K / 2.5 GB19821791
Llama 3.2 1B Instruct128K / 2.5 GB100
Llama 3.2 OctoThinker INano 1B128K / 3 GB2421
...enchmaxx Llama 3.2 1B Instruct128K / 0 GB246
...p Llama 3.2 1B Instruct Datav2128K / 16.1 GB380
...ofu Llama 3.2 1B Instruct Full128K / 2.5 GB277980
Note: green Score (e.g. "73.2") means that the model is better than Novaciano/NUN-FINAL.

Rank the NUN FINAL 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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