---
base_model: UCSC-VLAA/STAR1-R1-Distill-7B
datasets:
- UCSC-VLAA/STAR-1
library_name: transformers
license: apache-2.0
tags:
- llama-cpp
- gguf-my-repo
---

# Triangle104/STAR1-R1-Distill-7B-Q8_0-GGUF
This model was converted to GGUF format from [`UCSC-VLAA/STAR1-R1-Distill-7B`](https://huggingface.co/UCSC-VLAA/STAR1-R1-Distill-7B) 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/UCSC-VLAA/STAR1-R1-Distill-7B) for more details on the model.

---
STAR-1 is a high-quality safety dataset designed to enhance safety alignment in large reasoning models (LRMs) like DeepSeek-R1.


Built on the principles of diversity, deliberative reasoning, and 
rigorous filtering, STAR-1 integrates and refines data from multiple 
sources to provide policy-grounded reasoning samples.
The dataset contains 1,000 carefully selected examples, each aligned with best safety practices through GPT-4o-based evaluation.
Fine-tuning with STAR-1 leads to significant safety improvements 
across multiple benchmarks, with minimal impact on reasoning 
capabilities.

---
## 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/STAR1-R1-Distill-7B-Q8_0-GGUF --hf-file star1-r1-distill-7b-q8_0.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo Triangle104/STAR1-R1-Distill-7B-Q8_0-GGUF --hf-file star1-r1-distill-7b-q8_0.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/STAR1-R1-Distill-7B-Q8_0-GGUF --hf-file star1-r1-distill-7b-q8_0.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo Triangle104/STAR1-R1-Distill-7B-Q8_0-GGUF --hf-file star1-r1-distill-7b-q8_0.gguf -c 2048
```