| license: cc-by-4.0 | |
| language: | |
| - en | |
| base_model: nvidia/OpenReasoning-Nemotron-7B | |
| pipeline_tag: text-generation | |
| library_name: mlx | |
| tags: | |
| - nvidia | |
| - code | |
| - mlx | |
| # NexVeridian/OpenReasoning-Nemotron-7B-6bit | |
| This model [NexVeridian/OpenReasoning-Nemotron-7B-6bit](https://huggingface.co/NexVeridian/OpenReasoning-Nemotron-7B-6bit) was | |
| converted to MLX format from [nvidia/OpenReasoning-Nemotron-7B](https://huggingface.co/nvidia/OpenReasoning-Nemotron-7B) | |
| using mlx-lm version **0.26.3**. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("NexVeridian/OpenReasoning-Nemotron-7B-6bit") | |
| prompt = "hello" | |
| if tokenizer.chat_template is not None: | |
| messages = [{"role": "user", "content": prompt}] | |
| prompt = tokenizer.apply_chat_template( | |
| messages, add_generation_prompt=True | |
| ) | |
| response = generate(model, tokenizer, prompt=prompt, verbose=True) | |
| ``` | |