---
base_model: vinhnx90/gemma-3-1b-thinking-v2-base
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-base-mlx-6Bit

The Model [vinhnx90/gemma-3-1b-thinking-v2-base-mlx-6Bit](https://huggingface.co/vinhnx90/gemma-3-1b-thinking-v2-base-mlx-6Bit) was converted to MLX format from [vinhnx90/gemma-3-1b-thinking-v2-base](https://huggingface.co/vinhnx90/gemma-3-1b-thinking-v2-base) 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-base-mlx-6Bit")

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)
```