| language: | |
| - en | |
| - code | |
| license: apache-2.0 | |
| tags: | |
| - security | |
| - vulnerability-detection | |
| - code-analysis | |
| - reasoning | |
| - llm | |
| - mlx | |
| pipeline_tag: text-generation | |
| base_model: UCSB-SURFI/VulnLLM-R-7B | |
| library_name: mlx | |
| # mlx-community/VulnLLM-R-7B-8bit | |
| This model [mlx-community/VulnLLM-R-7B-8bit](https://huggingface.co/mlx-community/VulnLLM-R-7B-8bit) was | |
| converted to MLX format from [UCSB-SURFI/VulnLLM-R-7B](https://huggingface.co/UCSB-SURFI/VulnLLM-R-7B) | |
| using mlx-lm version **0.30.0**. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("mlx-community/VulnLLM-R-7B-8bit") | |
| prompt = "hello" | |
| if tokenizer.chat_template is not None: | |
| messages = [{"role": "user", "content": prompt}] | |
| prompt = tokenizer.apply_chat_template( | |
| messages, add_generation_prompt=True, return_dict=False, | |
| ) | |
| response = generate(model, tokenizer, prompt=prompt, verbose=True) | |
| ``` | |