初始化项目，由ModelHub XC社区提供模型

Model: usermma/FastContext-1.0-4B-SFT-mlx-fp16
Source: Original Platform

README.md

@@ -0,0 +1,37 @@
+---
+language:
+- en
+license: mit
+tags:
+- Explorer SubAgent
+- Repository Exploration
+- mlx
+library_name: transformers
+base_model: microsoft/FastContext-1.0-4B-SFT
+---
+
+# usermma/FastContext-1.0-4B-SFT-mlx-fp16
+
+The Model [usermma/FastContext-1.0-4B-SFT-mlx-fp16](https://huggingface.co/usermma/FastContext-1.0-4B-SFT-mlx-fp16) was converted to MLX format from [microsoft/FastContext-1.0-4B-SFT](https://huggingface.co/microsoft/FastContext-1.0-4B-SFT) using mlx-lm version **0.31.3**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("usermma/FastContext-1.0-4B-SFT-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)
+```