--- library_name: transformers inference: parameters: temperature: 1 top_p: 0.95 top_k: 40 repetition_penalty: 1.2 license: apache-2.0 language: - en pipeline_tag: text-generation tags: - mlx base_model: ministral/Ministral-3b-instruct --- # ubaitur5/Ministral-3b-instruct-Q4-mlx The Model [ubaitur5/Ministral-3b-instruct-Q4-mlx](https://huggingface.co/ubaitur5/Ministral-3b-instruct-Q4-mlx) was converted to MLX format from [ministral/Ministral-3b-instruct](https://huggingface.co/ministral/Ministral-3b-instruct) using mlx-lm version **0.20.5**. ## Use with mlx ```bash pip install mlx-lm ``` ```python from mlx_lm import load, generate model, tokenizer = load("ubaitur5/Ministral-3b-instruct-Q4-mlx") 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) ```