| library_name: transformers | |
| license: apache-2.0 | |
| language: | |
| - en | |
| - fr | |
| - es | |
| - it | |
| - pt | |
| - zh | |
| - ar | |
| - ru | |
| tags: | |
| - mlx | |
| - mlx | |
| - mlx-my-repo | |
| base_model: lmstudio-community/SmolLM3-3B-MLX-8bit | |
| # introvoyz041/SmolLM3-3B-MLX-8bit-mlx-8Bit | |
| The Model [introvoyz041/SmolLM3-3B-MLX-8bit-mlx-8Bit](https://huggingface.co/introvoyz041/SmolLM3-3B-MLX-8bit-mlx-8Bit) was converted to MLX format from [lmstudio-community/SmolLM3-3B-MLX-8bit](https://huggingface.co/lmstudio-community/SmolLM3-3B-MLX-8bit) using mlx-lm version **0.28.3**. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("introvoyz041/SmolLM3-3B-MLX-8bit-mlx-8Bit") | |
| 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) | |
| ``` | |