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Marco Nano Instruct by AIDC-AI

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Marco Nano Instruct is an open-source language model by AIDC-AI. Features: 8b LLM, VRAM: 16.1GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.4.

  Ar   Az   Bn   Conversational   Cs Dataset:allenai/dolci-instruct... Dataset:bytedtsinghua-sia/dapo... Dataset:nvidia/nemotron-cascad... Dataset:nvidia/nemotron-cascad... Dataset:nvidia/nemotron-rl-ins... Dataset:nvidia/nemotron-rl-ins... Dataset:nvidia/nemotron-rl-kno... Dataset:nvidia/nemotron-rl-rea... Dataset:nvidia/nemotron-sft-mu... Dataset:skywork/skywork-or1-rl...   De   El   En   Endpoints compatible   Es   Fr   He   Hu   Id   Instruct   It   Ja   Kk   Ko   Mixture-of-experts   Moe   Ms   Multilingual   Ne   Nl   Pl   Pt   Qwen3 moe   Region:us   Ro   Ru   Safetensors   Sharded   Tensorflow   Th   Tr   Uk   Upcycling   Ur   Vi   Zh
Model Card on HF 🤗: https://huggingface.co/AIDC-AI/Marco-Nano-Instruct 

Marco Nano Instruct Benchmarks

LLME Score: 0.39738
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Marco Nano Instruct (AIDC-AI/Marco-Nano-Instruct)
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Marco Nano Instruct Parameters and Internals

LLM NameMarco Nano Instruct
Repository 🤗https://huggingface.co/AIDC-AI/Marco-Nano-Instruct 
Model Size8b
Required VRAM16.1 GB
Updated2026-04-04
MaintainerAIDC-AI
Model Typeqwen3_moe
Instruction-BasedYes
Model Files  5.4 GB: 0-of-3   5.4 GB: 1-of-3   5.3 GB: 2-of-3
Supported Languagesen zh ar de es fr ko ja pt tr id it nl pl ru vi th he uk ms bn cs ur kk el ro hu ne az
Model ArchitectureQwen3MoeForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.57.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Errorsreplace

Rank the Marco Nano Instruct 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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