初始化项目，由ModelHub XC社区提供模型

Model: mlx-community/Josiefied-Qwen2.5-Coder-7B-Instruct-abliterated-v1
Source: Original Platform

README.md

@@ -0,0 +1,40 @@
+---
+language:
+- en
+- de
+license: apache-2.0
+tags:
+- chat
+- GGUF
+- mlx
+base_model: Goekdeniz-Guelmez/Josiefied-Qwen2.5-Coder-7B-Instruct-abliterated-v1
+pipeline_tag: text-generation
+---
+
+# mlx-community/Josiefied-Qwen2.5-Coder-7B-Instruct-abliterated-v1
+
+The Model [mlx-community/Josiefied-Qwen2.5-Coder-7B-Instruct-abliterated-v1](https://huggingface.co/mlx-community/Josiefied-Qwen2.5-Coder-7B-Instruct-abliterated-v1) was
+converted to MLX format from [Goekdeniz-Guelmez/Josiefied-Qwen2.5-Coder-7B-Instruct-abliterated-v1](https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen2.5-Coder-7B-Instruct-abliterated-v1)
+using mlx-lm version **0.21.3**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/Josiefied-Qwen2.5-Coder-7B-Instruct-abliterated-v1")
+
+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)
+```