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Model: sealad886/FuseO1-DeepSeekR1-Qwen2.5-Coder-7B-Preview-MLX
Source: Original Platform

README.md

@@ -0,0 +1,39 @@
+---
+base_model: sealad886/FuseO1-DeepSeekR1-Qwen2.5-Coder-7B-Preview
+library_name: transformers
+tags:
+- mergekit
+- merge
+- mlx
+---
+> [!WARNING]
+> **Tinkering in progress!**
+> 
+> This model is a work in progress and likely is not yet returning valid output.
+# sealad886/FuseO1-DeepSeekR1-Qwen2.5-Coder-7B-Preview-MLX
+
+The Model [sealad886/FuseO1-DeepSeekR1-Qwen2.5-Coder-7B-Preview-MLX](https://huggingface.co/sealad886/FuseO1-DeepSeekR1-Qwen2.5-Coder-7B-Preview-MLX) was
+converted to MLX format from [sealad886/FuseO1-DeepSeekR1-Qwen2.5-Coder-7B-Preview](https://huggingface.co/sealad886/FuseO1-DeepSeekR1-Qwen2.5-Coder-7B-Preview)
+using mlx-lm version **0.22.0**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("sealad886/FuseO1-DeepSeekR1-Qwen2.5-Coder-7B-Preview-MLX")
+
+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)
+```