---
library_name: transformers
tags:
- prime-rl
- verifiers
- prime-intellect
- reinforcement-learning
- reasoning
- agentic
- mixture-of-experts
- mlx
- mlx-my-repo
license: mit
language:
- en
base_model: PrimeIntellect/INTELLECT-3
pipeline_tag: text-generation
---

# ncls-p/INTELLECT-3-mlx-2Bit

The Model [ncls-p/INTELLECT-3-mlx-2Bit](https://huggingface.co/ncls-p/INTELLECT-3-mlx-2Bit) was converted to MLX format from [PrimeIntellect/INTELLECT-3](https://huggingface.co/PrimeIntellect/INTELLECT-3) 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("ncls-p/INTELLECT-3-mlx-2Bit")

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)
```