--- license: apache-2.0 pipeline_tag: text-generation library_name: transformers tags: - vllm - mlx - mlx-my-repo base_model: openai/gpt-oss-20b --- # sd17js2/gpt-oss-20b-mlx-4Bit The Model [sd17js2/gpt-oss-20b-mlx-4Bit](https://huggingface.co/sd17js2/gpt-oss-20b-mlx-4Bit) was converted to MLX format from [openai/gpt-oss-20b](https://huggingface.co/openai/gpt-oss-20b) using mlx-lm version **0.26.3**. ## Use with mlx ```bash pip install mlx-lm ``` ```python from mlx_lm import load, generate model, tokenizer = load("sd17js2/gpt-oss-20b-mlx-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) ```