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---
license: apache-2.0
base_model: allenai/Olmo-3-7B-Instruct
language:
- en
library_name: transformers
datasets:
- allenai/Dolci-Instruct-RL-7B
tags:
- mlx
---
# introvoyz041/Olmo-3-7B-Instruct-mlx-4Bit
The Model [introvoyz041/Olmo-3-7B-Instruct-mlx-4Bit](https://huggingface.co/introvoyz041/Olmo-3-7B-Instruct-mlx-4Bit) was converted to MLX format from [allenai/Olmo-3-7B-Instruct](https://huggingface.co/allenai/Olmo-3-7B-Instruct) using mlx-lm version **0.28.3**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("introvoyz041/Olmo-3-7B-Instruct-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)
```
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