GraySoft
Projects Models Compare Cloud benchmarks FAQ Download guIDE →
Model Intelligence Sheet

tinyopsec/Skywork-OR1-Math-7B-GGUF overview

Skywork OR1 Math 7B GGUF GGUF quantizations of Skywork/Skywork OR1 Math 7B https://huggingface.co/Skywork/Skywork OR1 Math 7B . Model Description Skywork OR1 M…

ggufllama-cppqwen2mathreasoningtext-generationenarxiv:2505.22312base_model:Skywork/Skywork-OR1-Math-7Bbase_model:quantized:Skywork/Skywork-OR1-Math-7Blicense:otherendpoints_compatibleregion:usconversational

Runs locally from ~2.81 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
0
Likes
0
Pipeline
text-generation
Author

Repository Files & Downloads

11 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
model_f16.ggufGGUFF1614.19 GBDownload
model_q2_k.ggufGGUFQ2_K2.81 GBDownload
model_q3_k_l.ggufGGUFQ3_K_L3.81 GBDownload
model_q3_k_m.ggufGGUFQ3_K_M3.55 GBDownload
model_q3_k_s.ggufGGUFQ3_K_S3.25 GBDownload
model_q4_k_m.ggufGGUFQ4_K_M4.36 GBDownload
model_q4_k_s.ggufGGUFQ4_K_S4.15 GBDownload
model_q5_k_m.ggufGGUFQ5_K_M5.07 GBDownload
model_q5_k_s.ggufGGUFQ5_K_S4.95 GBDownload
model_q6_k.ggufGGUFQ6_K5.82 GBDownload
model_q8_0.ggufGGUFQ8_07.54 GBDownload

Model Details

Model IDtinyopsec/Skywork-OR1-Math-7B-GGUF
Authortinyopsec
Pipelinetext-generation
Licenseother
Base modelSkywork/Skywork-OR1-Math-7B
Last modified2026-09-15T16:20:37.000Z

Model README

---

license: other

base_model: Skywork/Skywork-OR1-Math-7B

tags:

- llama-cpp

- gguf

- qwen2

- math

- reasoning

language:

- en

pipeline_tag: text-generation

library_name: gguf

---

Skywork-OR1-Math-7B - GGUF

GGUF quantizations of Skywork/Skywork-OR1-Math-7B.

Model Description

Skywork-OR1-Math-7B is a math-specialized reasoning model from the Skywork Open Reasoner 1 (OR1) series, trained using large-scale rule-based reinforcement learning. It is fine-tuned on top of DeepSeek-R1-Distill-Qwen-7B with a curated dataset of 110K verifiable math problems and 14K coding questions.

It achieves 69.8 on AIME24 and 52.3 on AIME25, outperforming all similarly sized models on mathematical reasoning tasks.

Benchmark Results

| Model | AIME24 (Avg@32) | AIME25 (Avg@32) |

|---|---|---|

| DeepSeek-R1-Distill-Qwen-7B | 55.5 | 39.2 |

| Light-R1-7B-DS | 59.1 | 44.3 |

| Skywork-OR1-Math-7B | 69.8 | 52.3 |

Available Quantizations

| File | Bits | Size (approx) | Use Case |

|---|---|---|---|

| model_f16.gguf | 16 | ~15.3 GB | Maximum quality, reference |

| model_q8_0.gguf | 8 | ~8.1 GB | Best quality, if VRAM allows |

| model_q6_k.gguf | 6 | ~6.3 GB | Very high quality |

| model_q5_k_m.gguf | 5 | ~5.5 GB | Recommended balance |

| model_q5_k_s.gguf | 5 | ~5.3 GB | High quality, slightly smaller |

| model_q4_k_m.gguf | 4 | ~4.7 GB | Good quality, widely used |

| model_q4_k_s.gguf | 4 | ~4.5 GB | Smaller, slight quality loss |

| model_q3_k_l.gguf | 3 | ~4.0 GB | Low VRAM, moderate quality |

| model_q3_k_m.gguf | 3 | ~3.7 GB | Low VRAM |

| model_q3_k_s.gguf | 3 | ~3.5 GB | Minimal VRAM |

| model_q2_k.gguf | 2 | ~2.9 GB | Lowest quality, smallest size |

VRAM Requirements

| Quantization | VRAM (approx) |

|---|---|

| F16 | ~16 GB |

| Q8_0 | ~9 GB |

| Q6_K | ~7 GB |

| Q5_K_M | ~6 GB |

| Q4_K_M | ~5.5 GB |

| Q3_K_M | ~4.5 GB |

| Q2_K | ~3.5 GB |

Usage

llama.cpp

./llama-cli -m model_q4_k_m.gguf -p "Solve: What is the sum of all prime numbers less than 20?" -n 512

llama-cpp-python

from llama_cpp import Llama

llm = Llama(model_path="model_q4_k_m.gguf", n_ctx=4096)
output = llm("Solve: What is the sum of all prime numbers less than 20?", max_tokens=512)
print(output["choices"][0]["text"])

LM Studio

Download any .gguf file from this repository and load it directly in LM Studio.

Ollama

ollama run hf.co/tinyopsec/Skywork-OR1-Math-7B-GGUF:Q4_K_M

Original Model

Citation

@article{he2025skywork,
  title={Skywork Open Reasoner 1 Technical Report},
  author={He, Jujie and Liu, Jiacai and Liu, Chris Yuhao and Yan, Rui and Wang, Chaojie and Cheng, Peng and Zhang, Xiaoyu and Zhang, Fuxiang and Xu, Jiacheng and Shen, Wei and Li, Siyuan and Zeng, Liang and Wei, Tianwen and Cheng, Cheng and An, Bo and Liu, Yang and Zhou, Yahui},
  journal={arXiv preprint arXiv:2505.22312},
  year={2025}
}

Run tinyopsec/Skywork-OR1-Math-7B-GGUF with guIDE

Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.

Download guIDE → · Browse 524k+ models · Compare models

Source: Hugging Face · Compare models