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

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README.md

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+---
+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)
+```

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config.json

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+    "architectures": [
+        "Qwen2ForCausalLM"
+    ],
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+    "bos_token_id": 151643,
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+    "max_window_layers": 28,
+    "model_type": "qwen2",
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+    "num_hidden_layers": 28,
+    "num_key_value_heads": 4,
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+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.47.1",
+    "use_cache": true,
+    "use_sliding_window": false,
+    "vocab_size": 152064
+}

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special_tokens_map.json

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