初始化项目，由ModelHub XC社区提供模型

Model: mlx-community/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-float32
Source: Original Platform

README.md

@@ -0,0 +1,37 @@
+---
+base_model: Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1
+language:
+- en
+- de
+license: apache-2.0
+pipeline_tag: text-generation
+tags:
+- chat
+- mlx
+---
+
+# mlx-community/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-float32
+
+The Model [mlx-community/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-float32](https://huggingface.co/mlx-community/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-float32) was converted to MLX format from [Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1](https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1) using mlx-lm version **0.18.2**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-float32")
+
+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)
+```