--- language: - en library_name: transformers license: apache-2.0 tags: - unsloth - transformers - llama - llama2 - llama-2 - chat - mlx base_model: unsloth/llama-2-7b-chat --- # shashikanth-a/llama-2-7b-chat-4bit The Model [shashikanth-a/llama-2-7b-chat-4bit](https://huggingface.co/shashikanth-a/llama-2-7b-chat-4bit) was converted to MLX format from [unsloth/llama-2-7b-chat](https://huggingface.co/unsloth/llama-2-7b-chat) using mlx-lm version **0.19.3**. ## Use with mlx ```bash pip install mlx-lm ``` ```python from mlx_lm import load, generate model, tokenizer = load("shashikanth-a/llama-2-7b-chat-4bit") 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) ```