--- license: apache-2.0 language: - en - ko base_model: sosoai/hansoldeco-qwen2.5-grpo-gsm-8k-ko-v1-mlx tags: - mlx - mlx - mlx-my-repo --- # sosoai/hansoldeco-qwen2.5-grpo-gsm-8k-ko-v1-mlx-Q2-mlx The Model [sosoai/hansoldeco-qwen2.5-grpo-gsm-8k-ko-v1-mlx-Q2-mlx](https://huggingface.co/sosoai/hansoldeco-qwen2.5-grpo-gsm-8k-ko-v1-mlx-Q2-mlx) was converted to MLX format from [sosoai/hansoldeco-qwen2.5-grpo-gsm-8k-ko-v1-mlx](https://huggingface.co/sosoai/hansoldeco-qwen2.5-grpo-gsm-8k-ko-v1-mlx) using mlx-lm version **0.21.5**. ## Use with mlx ```bash pip install mlx-lm ``` ```python from mlx_lm import load, generate model, tokenizer = load("sosoai/hansoldeco-qwen2.5-grpo-gsm-8k-ko-v1-mlx-Q2-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) ```