初始化项目，由ModelHub XC社区提供模型

Model: mlx-community/Llama-3.1-Nemotron-Nano-4B-v1.1-bf16
Source: Original Platform

README.md

@@ -0,0 +1,45 @@
+---
+library_name: mlx
+license: other
+license_name: nvidia-open-model-license
+license_link: https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/
+pipeline_tag: text-generation
+language:
+- en
+tags:
+- nvidia
+- llama-3
+- pytorch
+- mlx
+base_model: nvidia/Llama-3.1-Nemotron-Nano-4B-v1.1
+datasets:
+- nvidia/Llama-Nemotron-Post-Training-Dataset
+---
+
+# mlx-community/Llama-3.1-Nemotron-Nano-4B-v1.1-bf16
+
+This model [mlx-community/Llama-3.1-Nemotron-Nano-4B-v1.1-bf16](https://huggingface.co/mlx-community/Llama-3.1-Nemotron-Nano-4B-v1.1-bf16) was
+converted to MLX format from [nvidia/Llama-3.1-Nemotron-Nano-4B-v1.1](https://huggingface.co/nvidia/Llama-3.1-Nemotron-Nano-4B-v1.1)
+using mlx-lm version **0.25.0**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/Llama-3.1-Nemotron-Nano-4B-v1.1-bf16")
+
+prompt = "hello"
+
+if tokenizer.chat_template is not None:
+    messages = [{"role": "user", "content": prompt}]
+    prompt = tokenizer.apply_chat_template(
+        messages, add_generation_prompt=True
+    )
+
+response = generate(model, tokenizer, prompt=prompt, verbose=True)
+```