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Supra-Nexus/supra-nexus-o1-thinking-gguf overview

supra nexus o1 thinking gguf GGUF format of the chain of thought Supra Nexus O1 model for use with llama.cpp. ๐Ÿ”— Model Collection Base Models ๐Ÿค– supra nexus o1โ€ฆ

supra-nexuso1reasoningchain-of-thoughtggufllama-cppenbase_model:Supra-Nexus/supra-nexus-o1-thinkingbase_model:finetune:Supra-Nexus/supra-nexus-o1-thinkinglicense:apache-2.0region:us
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Model Details

Model IDSupra-Nexus/supra-nexus-o1-thinking-gguf
AuthorSupra-Nexus
Pipelineโ€”
Licenseapache-2.0
Base modelSupra-Nexus/supra-nexus-o1-thinking
Last modified2026-06-26T08:58:39.000Z

Model README

---

license: apache-2.0

tags:

  • supra-nexus
  • o1
  • reasoning
  • chain-of-thought
  • gguf
  • llama-cpp

language:

  • en

base_model: Supra-Nexus/supra-nexus-o1-thinking

---

supra-nexus-o1-thinking-gguf

GGUF format of the chain-of-thought Supra Nexus O1 model for use with llama.cpp.

๐Ÿ”— Model Collection

Base Models

Available Formats

Instruction Model

Thinking Model

Training Data

๐Ÿ’ก Key Features

  • Transparent Reasoning: Shows thought process using <thinking> tags
  • Chain-of-Thought: Step-by-step problem solving approach
  • Self-Improvement: Trained with recursive improvement examples
  • Multi-Format: Available in multiple formats for different platforms

๐Ÿš€ Quick Start

Using with llama.cpp

# Download the model
huggingface-cli download Supra-Nexus/supra-nexus-o1-thinking-gguf --local-dir ./models

# Run inference
./llama-cli -m ./models/supra-nexus-o1-thinking.gguf -p "Your prompt here"

Available Quantizations

  • F16 - Full 16-bit precision (largest, most accurate)
  • Q8_0 - 8-bit quantization (good balance)
  • Q5_K_M - 5-bit quantization (recommended)
  • Q4_K_M - 4-bit quantization (smallest)

๐Ÿ“ˆ Performance

The O1 models excel at:

  • Complex reasoning tasks
  • Step-by-step problem solving
  • Mathematical computations
  • Code generation and debugging
  • Creative writing with logical structure

๐Ÿ—๏ธ Architecture

Based on Qwen2.5 architecture with:

  • Custom fine-tuning for reasoning
  • Chain-of-thought training
  • Self-improvement capabilities
  • Identity preservation techniques

๐Ÿ”ฌ Training Details

  • Base Model: Qwen/Qwen2.5-7B-Instruct
  • Training Framework: Zoo Gym
  • Dataset: supra-nexus-o1-training
  • Training Duration: Multiple iterations with self-improvement
  • Hardware: NVIDIA A100 GPUs

๐Ÿ“š Resources

๐Ÿ“„ Citation

@software{supra_nexus_o1_2025,
  title = {Supra Nexus O1: Advanced Reasoning Models},
  author = {Supra Foundation},
  year = {2025},
  url = {https://github.com/Supra-Nexus/o1}
}

๐Ÿ“ License

Apache 2.0 - See LICENSE for details.

---

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