---
base_model: teknium/OpenHermes-2.5-Mistral-7B
datasets:
- teknium/OpenHermes-2.5
language:
- en
license: apache-2.0
tags:
- mistral
- instruct
- finetune
- chatml
- gpt4
- synthetic data
- distillation
- mlx
model-index:
- name: OpenHermes-2-Mistral-7B
  results: []
---

# TheBlueObserver/OpenHermes-2.5-Mistral-7B-MLX-104ce

The Model [TheBlueObserver/OpenHermes-2.5-Mistral-7B-MLX-104ce](https://huggingface.co/TheBlueObserver/OpenHermes-2.5-Mistral-7B-MLX-104ce) was
converted to MLX format from [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B)
using mlx-lm version **0.20.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("TheBlueObserver/OpenHermes-2.5-Mistral-7B-MLX-104ce")

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)
```