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Llama 3.2 Nemotron 3B Instruct by itsnebulalol

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Llama 3.2 Nemotron 3B Instruct is an open-source language model by itsnebulalol. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: llama3.2, Quantized, Instruction-Based, LLM Explorer Score: 0.15.

  4bit Base model:finetune:unsloth/ll... Base model:unsloth/llama-3.2-3...   Conversational   Dataset:nvidia/helpsteer2   En   Instruct   Llama   Llama3.2   Nvidia   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/itsnebulalol/Llama-3.2-Nemotron-3B-Instruct 

Llama 3.2 Nemotron 3B Instruct Benchmarks

LLME Score: 0.15009
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.2 Nemotron 3B Instruct (itsnebulalol/Llama-3.2-Nemotron-3B-Instruct)

Llama 3.2 Nemotron 3B Instruct Parameters and Internals

LLM NameLlama 3.2 Nemotron 3B Instruct
Repository 🤗https://huggingface.co/itsnebulalol/Llama-3.2-Nemotron-3B-Instruct 
Base Model(s)  unsloth/Llama-3.2-3B-Instruct-bnb-4bit   unsloth/Llama-3.2-3B-Instruct-bnb-4bit
Model Size3b
Required VRAM6.5 GB
Updated2026-07-03
Maintaineritsnebulalol
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2   5.0 GB: 1-of-2   1.5 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licensellama3.2
Context Length131072
Model Max Length131072
Transformers Version4.47.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than itsnebulalol/Llama-3.2-Nemotron-3B-Instruct.

Rank the Llama 3.2 Nemotron 3B Instruct 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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