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README.md

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+---
+base_model: nicoboss/DeepSeek-R1-Distill-Qwen-14B-Uncensored
+library_name: peft
+tags:
+- generated_from_trainer
+- mlx
+- mlx-my-repo
+license: mit
+datasets:
+- Guilherme34/uncensor
+model-index:
+- name: DeepSeek-R1-Distill-Qwen-14B-Uncensored
+  results: []
+---
+
+# isv2lf/DeepSeek-R1-Distill-Qwen-14B-Uncensored-Q6-mlx
+
+The Model [isv2lf/DeepSeek-R1-Distill-Qwen-14B-Uncensored-Q6-mlx](https://huggingface.co/isv2lf/DeepSeek-R1-Distill-Qwen-14B-Uncensored-Q6-mlx) was converted to MLX format from [nicoboss/DeepSeek-R1-Distill-Qwen-14B-Uncensored](https://huggingface.co/nicoboss/DeepSeek-R1-Distill-Qwen-14B-Uncensored) using mlx-lm version **0.20.5**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("isv2lf/DeepSeek-R1-Distill-Qwen-14B-Uncensored-Q6-mlx")
+
+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)
+```