---
base_model: Skywork/Skywork-OR1-7B-Preview
tags:
- llama-cpp
- gguf-my-repo
---

# Triangle104/Skywork-OR1-7B-Preview-Q5_K_M-GGUF
This model was converted to GGUF format from [`Skywork/Skywork-OR1-7B-Preview`](https://huggingface.co/Skywork/Skywork-OR1-7B-Preview) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/Skywork/Skywork-OR1-7B-Preview) for more details on the model.

---
The Skywork-OR1 (Open Reasoner 1) model
 series consists of powerful math and code reasoning models trained 
using large-scale rule-based reinforcement learning with carefully 
designed datasets and training recipes. This series includes two 
general-purpose reasoning modelsl, Skywork-OR1-7B-Preview and Skywork-OR1-32B-Preview, along with a math-specialized model, Skywork-OR1-Math-7B.


-Skywork-OR1-Math-7B is specifically optimized for mathematical reasoning, scoring 69.8 on AIME24 and 52.3 on AIME25 — well ahead of all models of similar size.

-Skywork-OR1-32B-Preview delivers the 671B-parameter Deepseek-R1 performance on math tasks (AIME24 and AIME25) and coding tasks (LiveCodeBench).

-Skywork-OR1-7B-Preview outperforms all similarly sized models in both math and coding scenarios.

---
## Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)

```bash
brew install llama.cpp

```
Invoke the llama.cpp server or the CLI.

### CLI:
```bash
llama-cli --hf-repo Triangle104/Skywork-OR1-7B-Preview-Q5_K_M-GGUF --hf-file skywork-or1-7b-preview-q5_k_m.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo Triangle104/Skywork-OR1-7B-Preview-Q5_K_M-GGUF --hf-file skywork-or1-7b-preview-q5_k_m.gguf -c 2048
```

Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.
```
git clone https://github.com/ggerganov/llama.cpp
```

Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
```
cd llama.cpp && LLAMA_CURL=1 make
```

Step 3: Run inference through the main binary.
```
./llama-cli --hf-repo Triangle104/Skywork-OR1-7B-Preview-Q5_K_M-GGUF --hf-file skywork-or1-7b-preview-q5_k_m.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo Triangle104/Skywork-OR1-7B-Preview-Q5_K_M-GGUF --hf-file skywork-or1-7b-preview-q5_k_m.gguf -c 2048
```