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Nemotron 3 Nano 30B A3B FP8 by unsloth

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Nemotron 3 Nano 30B A3B FP8 is an open-source language model by unsloth. Features: 30b LLM, VRAM: 32.7GB, Context: 256K, License: other, Instruction-Based, LLM Explorer Score: 0.25.

Base model:finetune:nvidia/nvi... Base model:nvidia/nvidia-nemot...   Conversational Dataset:nvidia/nemotron-3-nano... Dataset:nvidia/nemotron-agenti... Dataset:nvidia/nemotron-cc-cod... Dataset:nvidia/nemotron-cc-mat...   Dataset:nvidia/nemotron-cc-v2 Dataset:nvidia/nemotron-cc-v2.... Dataset:nvidia/nemotron-compet... Dataset:nvidia/nemotron-instru... Dataset:nvidia/nemotron-math-p... Dataset:nvidia/nemotron-math-v... Dataset:nvidia/nemotron-pretra... Dataset:nvidia/nemotron-pretra... Dataset:nvidia/nemotron-pretra... Dataset:nvidia/nemotron-pretra... Dataset:nvidia/nemotron-pretra... Dataset:nvidia/nemotron-scienc...   De   En   Endpoints compatible   Es   Fr   Instruct   It   Ja   Nvidia   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/Nemotron-3-Nano-30B-A3B-FP8 

Nemotron 3 Nano 30B A3B FP8 Benchmarks

LLME Score: 0.25369
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nemotron 3 Nano 30B A3B FP8 (unsloth/Nemotron-3-Nano-30B-A3B-FP8)
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Nemotron 3 Nano 30B A3B FP8 Parameters and Internals

LLM NameNemotron 3 Nano 30B A3B FP8
Repository 🤗https://huggingface.co/unsloth/Nemotron-3-Nano-30B-A3B-FP8 
Base Model(s)  ...A Nemotron 3 Nano 30B A3B BF16   nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16
Model Size30b
Required VRAM32.7 GB
Updated2026-03-31
Maintainerunsloth
Model Typenemotron_h
Instruction-BasedYes
Model Files  4.0 GB: 1-of-10   4.0 GB: 2-of-10   4.0 GB: 3-of-10   4.0 GB: 4-of-10   4.0 GB: 5-of-10   4.0 GB: 6-of-10   4.0 GB: 7-of-10   4.0 GB: 8-of-10   0.7 GB: 9-of-10   0.0 GB: 10-of-10
Supported Languagesen es fr de ja it
Model ArchitectureNemotronHForCausalLM
Licenseother
Context Length262144
Model Max Length262144
Transformers Version5.0.0rc1
Tokenizer ClassTokenizersBackend
Padding Token<SPECIAL_999>
Vocabulary Size131072
Torch Data Typebfloat16

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...motron 3 Nano 30B A3B MLX 8Bit256K / 33.5 GB2662
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Nemotron-3-Nano-30B-A3B-FP8.

Rank the Nemotron 3 Nano 30B A3B FP8 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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