初始化项目，由ModelHub XC社区提供模型

Model: usermma/Huihui-MiniCPM5-1B-abliterated-mlx-fp16
Source: Original Platform

README.md

@@ -0,0 +1,48 @@
+---
+license: apache-2.0
+language:
+- en
+- zh
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- minicpm
+- minicpm5
+- llama
+- text-generation
+- long-context
+- tool-calling
+- on-device
+- edge-ai
+- abliterated
+- uncensored
+- mlx
+- mlx-my-repo
+base_model: huihui-ai/Huihui-MiniCPM5-1B-abliterated
+---
+
+# usermma/Huihui-MiniCPM5-1B-abliterated-mlx-fp16
+
+The Model [usermma/Huihui-MiniCPM5-1B-abliterated-mlx-fp16](https://huggingface.co/usermma/Huihui-MiniCPM5-1B-abliterated-mlx-fp16) was converted to MLX format from [huihui-ai/Huihui-MiniCPM5-1B-abliterated](https://huggingface.co/huihui-ai/Huihui-MiniCPM5-1B-abliterated) using mlx-lm version **0.31.2**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("usermma/Huihui-MiniCPM5-1B-abliterated-mlx-fp16")
+
+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)
+```