初始化项目，由ModelHub XC社区提供模型

Model: mlx-community/Devstral-Small-2505-bf16
Source: Original Platform

README.md

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+---
+language:
+- en
+- fr
+- de
+- es
+- pt
+- it
+- ja
+- ko
+- ru
+- zh
+- ar
+- fa
+- id
+- ms
+- ne
+- pl
+- ro
+- sr
+- sv
+- tr
+- uk
+- vi
+- hi
+- bn
+license: apache-2.0
+library_name: mlx
+inference: false
+base_model: mistralai/Devstral-Small-2505
+extra_gated_description: If you want to learn more about how we process your personal
+  data, please read our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
+pipeline_tag: text-generation
+tags:
+- mlx
+---
+
+# mlx-community/Devstral-Small-2505-bf16
+
+This model [mlx-community/Devstral-Small-2505-bf16](https://huggingface.co/mlx-community/Devstral-Small-2505-bf16) was
+converted to MLX format from [mistralai/Devstral-Small-2505](https://huggingface.co/mistralai/Devstral-Small-2505)
+using mlx-lm version **0.24.1**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("mlx-community/Devstral-Small-2505-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)
+```