--- license: cc-by-nc-nd-4.0 tags: - generated_from_trainer - mlx datasets: - jondurbin/bagel-v0.3 library_name: transformers base_model: fblgit/UNA-TheBeagle-7b-v1 model-index: - name: UNA-TheBeagle-7b-v1 results: [] --- # morgul/UNA-TheBeagle-7b-v1-Q8-mlx The Model [morgul/UNA-TheBeagle-7b-v1-Q8-mlx](https://huggingface.co/morgul/UNA-TheBeagle-7b-v1-Q8-mlx) was converted to MLX format from [fblgit/UNA-TheBeagle-7b-v1](https://huggingface.co/fblgit/UNA-TheBeagle-7b-v1) using mlx-lm version **0.19.1**. ## Use with mlx ```bash pip install mlx-lm ``` ```python from mlx_lm import load, generate model, tokenizer = load("morgul/UNA-TheBeagle-7b-v1-Q8-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) ```