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Marco DeepResearch 8B by AIDC-AI

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Marco DeepResearch 8B is an open-source language model by AIDC-AI. Features: 8b LLM, VRAM: 16.3GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.35.

  Arxiv:2603.28376   Agent Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-8b   Conversational   Deep-research   En   Endpoints compatible   Information-seeking   Model-index   Qwen3   React   Region:us   Safetensors   Sharded   Tensorflow   Verification   Web-search   Zh
Model Card on HF 🤗: https://huggingface.co/AIDC-AI/Marco-DeepResearch-8B 

Marco DeepResearch 8B Benchmarks

LLME Score: 0.34615
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Marco DeepResearch 8B (AIDC-AI/Marco-DeepResearch-8B)
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Marco DeepResearch 8B Parameters and Internals

LLM NameMarco DeepResearch 8B
Repository 🤗https://huggingface.co/AIDC-AI/Marco-DeepResearch-8B 
Base Model(s)  Qwen3 8B   Qwen/Qwen3-8B
Model Size8b
Required VRAM16.3 GB
Updated2026-05-09
MaintainerAIDC-AI
Model Typeqwen3
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   1.4 GB: 4-of-4
Supported Languagesen zh
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.57.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Errorsreplace

Best Alternatives to Marco DeepResearch 8B

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...n3 8B 320K Context 10X Massive320K / 16.4 GB200
...r Of Horror Jan V1 256K Ctx 8B256K / 16.1 GB333
... BIG Jan Horror V1 256K Ctx 8B256K / 16.1 GB440
Qwen3 8B 256K Context 8X Grand256K / 16.4 GB950
...wen3 8B 192K Context 6X Larger192K / 16.4 GB550
DeepSeek R1 0528 Qwen3 8B128K / 16.4 GB2155441057
BehChat V2.1128K / 16.4 GB1770
DeepSeek R1 0528 Qwen3 8B128K / 16.4 GB85118
Qwen3 EZO 8B YOYO Karcher 128K128K / 16.4 GB251
Qwen3 8B YOYO Karcher 128K128K / 16.4 GB90
Note: green Score (e.g. "73.2") means that the model is better than AIDC-AI/Marco-DeepResearch-8B.

Rank the Marco DeepResearch 8B 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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