---
license: mit
base_model: nikhilchandak/OpenForecaster-8B
tags:
- forecasting
- reasoning
- question-answering
- reinforcement-learning
- calibration
- mlx
datasets:
- nikhilchandak/OpenForesight
language:
- en
library_name: mlx
pipeline_tag: text-generation
---

# leonsarmiento/OpenForecaster-8B-8bit-mlx

This model [leonsarmiento/OpenForecaster-8B-8bit-mlx](https://huggingface.co/leonsarmiento/OpenForecaster-8B-8bit-mlx) was
converted to MLX format from [nikhilchandak/OpenForecaster-8B](https://huggingface.co/nikhilchandak/OpenForecaster-8B)
using mlx-lm version **0.29.0**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("leonsarmiento/OpenForecaster-8B-8bit-mlx")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```