Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,34 @@
+---
+license: cc-by-nc-4.0
+language:
+- en
+base_model: nvidia/Nemotron-Research-Reasoning-Qwen-1.5B
+tags:
+- mlx
+---
+
+# mlx-community/Nemotron-Research-Reasoning-Qwen-1.5B-8bit
+
+The Model [mlx-community/Nemotron-Research-Reasoning-Qwen-1.5B-8bit](https://huggingface.co/mlx-community/Nemotron-Research-Reasoning-Qwen-1.5B-8bit) was converted to MLX format from [nvidia/Nemotron-Research-Reasoning-Qwen-1.5B](https://huggingface.co/nvidia/Nemotron-Research-Reasoning-Qwen-1.5B) using mlx-lm version **0.24.1**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/Nemotron-Research-Reasoning-Qwen-1.5B-8bit")
+
+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)
+```