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

supra nexus o1 instruct gguf GGUF format of the instruction tuned Supra Nexus O1 model for use with llama.cpp. ๐Ÿ”— Model Collection Base Models ๐Ÿค– supra nexus oโ€ฆ

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

Model IDSupra-Nexus/supra-nexus-o1-instruct-gguf
AuthorSupra-Nexus
Pipelineโ€”
Licenseapache-2.0
Base modelSupra-Nexus/supra-nexus-o1-instruct
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-instruct

---

supra-nexus-o1-instruct-gguf

GGUF format of the instruction-tuned 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-instruct-gguf --local-dir ./models

# Run inference
./llama-cli -m ./models/supra-nexus-o1-instruct.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.

---

Building transparent AI reasoning systems ๐Ÿง โœจ

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