Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,40 @@
+---
+license: cc-by-4.0
+base_model: nvidia/OpenMath-Nemotron-14B-Kaggle
+datasets:
+- nvidia/OpenMathReasoning
+language:
+- en
+tags:
+- nvidia
+- math
+- mlx
+- mlx-my-repo
+library_name: transformers
+---
+
+# introvoyz041/OpenMath-Nemotron-14B-Kaggle-mlx-4Bit
+
+The Model [introvoyz041/OpenMath-Nemotron-14B-Kaggle-mlx-4Bit](https://huggingface.co/introvoyz041/OpenMath-Nemotron-14B-Kaggle-mlx-4Bit) was converted to MLX format from [nvidia/OpenMath-Nemotron-14B-Kaggle](https://huggingface.co/nvidia/OpenMath-Nemotron-14B-Kaggle) using mlx-lm version **0.28.3**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("introvoyz041/OpenMath-Nemotron-14B-Kaggle-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)
+```