| library_name: mlx | |
| license: other | |
| license_name: lfm1.0 | |
| license_link: LICENSE | |
| language: | |
| - en | |
| - ar | |
| - zh | |
| - fr | |
| - de | |
| - ja | |
| - ko | |
| - es | |
| pipeline_tag: text-generation | |
| tags: | |
| - liquid | |
| - lfm2 | |
| - edge | |
| - mlx | |
| base_model: LiquidAI/LFM2-1.2B-RAG | |
| # LFM2-1.2B-RAG-dwq6-mlx | |
| This model [LFM2-1.2B-RAG-dwq6-mlx](https://huggingface.co/LFM2-1.2B-RAG-dwq6-mlx) was | |
| converted to MLX format from [LiquidAI/LFM2-1.2B-RAG](https://huggingface.co/LiquidAI/LFM2-1.2B-RAG) | |
| using mlx-lm version **0.28.1**. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("LFM2-1.2B-RAG-dwq6-mlx") | |
| 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) | |
| ``` | |