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README.md

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+---
+base_model: vinhnx90/gemma-3-1b-thinking-v2
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- gemma3_text
+- trl
+- grpo
+- mlx
+- mlx-my-repo
+license: apache-2.0
+language:
+- en
+datasets:
+- openai/gsm8k
+---
+
+# vinhnx90/gemma-3-1b-thinking-v2-mlx-4Bit
+
+The Model [vinhnx90/gemma-3-1b-thinking-v2-mlx-4Bit](https://huggingface.co/vinhnx90/gemma-3-1b-thinking-v2-mlx-4Bit) was converted to MLX format from [vinhnx90/gemma-3-1b-thinking-v2](https://huggingface.co/vinhnx90/gemma-3-1b-thinking-v2) using mlx-lm version **0.22.1**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("vinhnx90/gemma-3-1b-thinking-v2-mlx-4Bit")
+
+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)
+```