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Marco O1 GGUF by prithivMLmods

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  8-bit   Base model:aidc-ai/marco-o1 Base model:quantized:aidc-ai/m...   Conversational   Cot   En   Endpoints compatible   F16   Gguf   Llama-cpp   Lrm   Marco-o1   Mcts   Monte carlo tree search   Multilingual   Nlu   Q2   Quantized   Qwen2   Region:us   Tree-algorithm
Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Marco-o1-GGUF 

Marco O1 GGUF Benchmarks

LLME Score: 0.19937
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Marco O1 GGUF (prithivMLmods/Marco-o1-GGUF)
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Marco O1 GGUF Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
academic assistance, creative ideation, coding and debugging, discussion and debate
Additional Notes 
Designed to excel in structured disciplines like mathematics, physics, and coding, and in open-ended problems requiring creativity and reasoning.
Supported Languages 
en (Proficient)
LLM NameMarco O1 GGUF
Repository 🤗https://huggingface.co/prithivMLmods/Marco-o1-GGUF 
Base Model(s)  Marco O1   AIDC-AI/Marco-o1
Required VRAM3 GB
Updated2025-09-10
MaintainerprithivMLmods
Model Typeqwen2
Model Files  15.2 GB   3.0 GB   4.1 GB   3.8 GB   3.5 GB   4.4 GB   4.7 GB   4.5 GB   5.3 GB   5.4 GB   5.3 GB   6.2 GB   8.1 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q2|q4_k|q5_k
Model ArchitectureAutoModel
Licensecreativeml-openrail-m

Best Alternatives to Marco O1 GGUF

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Context / RAM
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ComicBot V.2 Gguf32K / 5 GB330
Qwen3 Medical GRPO GGUF0K / 1.7 GB7912
Gemma2 WizardLM0K / 5.2 GB100
...ixtral 8x7B Instruct V0.1 GGUF0K / 15.6 GB26495639
Phi 2 GGUF0K / 1.2 GB105124227
Dolphin 2.5 Mixtral 8x7b GGUF0K / 15.6 GB11194303
Mixtral 8x7B V0.1 GGUF0K / 15.6 GB5045430
Dolphin 2.7 Mixtral 8x7b GGUF0K / 15.6 GB9656146
GOAT Llama3.1 V0.10K / 0.2 GB03
Phi 3 Mini 4K Instruct GGUF0K / 1.4 GB105717
Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Marco-o1-GGUF.

Rank the Marco O1 GGUF 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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