| library_name: transformers | |
| license: other | |
| license_name: nvidia-open-model-license | |
| license_link: https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/ | |
| pipeline_tag: text-generation | |
| language: | |
| - en | |
| tags: | |
| - nvidia | |
| - reasoning | |
| - math | |
| - code | |
| - reinforcement learning | |
| - pytorch | |
| - mlx | |
| - mlx-my-repo | |
| base_model: nvidia/AceReason-Nemotron-14B | |
| # mlx-community/AceReason-Nemotron-14B-bf16 | |
| The Model [mlx-community/AceReason-Nemotron-14B-bf16](https://huggingface.co/mlx-community/AceReason-Nemotron-14B-bf16) was converted to MLX format from [nvidia/AceReason-Nemotron-14B](https://huggingface.co/nvidia/AceReason-Nemotron-14B) using mlx-lm version **0.24.1**. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("mlx-community/AceReason-Nemotron-14B-bf16") | |
| prompt="hello" | |
| if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None: | |
| messages = [{"role": "user", "content": prompt}] | |
| prompt = tokenizer.apply_chat_template( | |
| messages, tokenize=False, add_generation_prompt=True | |
| ) | |
| response = generate(model, tokenizer, prompt=prompt, verbose=True) | |
| ``` | |