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README.md

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+---
+license: mpl-2.0
+library_name: transformers
+tags:
+- gemma-3
+- synthetic-data
+- textbooks
+- distillation
+- utility
+- summarization
+- lightning
+- conversational
+- mlx
+- mlx-my-repo
+base_model: TitleOS/Spark-270M-FP16
+datasets:
+- TitleOS/Spark-Lightning-Synthetic-Textbooks
+language:
+- en
+pipeline_tag: text-generation
+---
+
+# bradyclarke/Spark-270M-FP16-mlx-5Bit
+
+The Model [bradyclarke/Spark-270M-FP16-mlx-5Bit](https://huggingface.co/bradyclarke/Spark-270M-FP16-mlx-5Bit) was converted to MLX format from [TitleOS/Spark-270M-FP16](https://huggingface.co/TitleOS/Spark-270M-FP16) using mlx-lm version **0.29.1**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("bradyclarke/Spark-270M-FP16-mlx-5Bit")
+
+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)
+```