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Marco O1 by AIDC-AI

 »  All LLMs  »  AIDC-AI  »  Marco O1   URL Share it on

  7661   
  Arxiv:2411.14405   Autotrain compatible   Conversational   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/AIDC-AI/Marco-o1 

Marco O1 Benchmarks

MMLU Pro: 34.63
GPQA: 1.23
MUSR: 9.96
BBH: 34.84
IFEval: 47.71 vs 88 (so35)-45.8%
MATH Lvl 5: 37.46
LLME Score: 0.44489
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Marco O1 (AIDC-AI/Marco-o1)

Marco O1 Parameters and Internals

Model Type 
text generation, reasoning
Use Cases 
Areas:
research, complex problem solving, translation
Primary Use Cases:
open-ended problem solving, machine translation, reasoning tasks
Training Details 
Data Sources:
Open-O1 CoT dataset, Marco-o1 CoT dataset, Marco-o1 Instruction dataset
Methodology:
Chain-of-Thought (CoT) fine-tuning, Monte Carlo Tree Search (MCTS), reflection mechanisms, reasoning strategies
LLM NameMarco O1
Repository 🤗https://huggingface.co/AIDC-AI/Marco-o1 
Model Size7.6b
Required VRAM15.2 GB
Updated2025-03-12
MaintainerAIDC-AI
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Marco O1

Model
Likes
Downloads
VRAM
Marco O1 GGUF157433 GB

Best Alternatives to Marco O1

Best Alternatives
Context / RAM
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Likes
Quasar 3.3 Max986K / 15.2 GB2010
MawaredT1128K / 15.2 GB23181
BBAI 525 Tsu GZ Xia0128K / 15.2 GB340
BBALAW1.6128K / 15.2 GB230
Nature Reason 1.2 Reallysmall128K / 15.2 GB271
Mergekit 01128K / 16.2 GB220
Exp 3 Q R128K / 15.2 GB160
Marco LLM AR128K / 15.3 GB16260
Qwen2.5 ColdBrew Solipsis128K / 15.2 GB411
Marco LLM AR V2128K / 15.3 GB5172

Rank the Marco O1 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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Release v20241227
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