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---
license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- openhermes
- mlx-llm
- mlx
library_name: mlx-llm
---
# OpenHermes-2.5-Mistral-7B
## Model description
Refer to [OpenHermes original model card](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B)
## Use with mlx-llm
Download weights from files section and install mlx-llm from GitHub.
```bash
git clone https://github.com/riccardomusmeci/mlx-llm
cd mlx-llm
pip install .
```
Run
```
from mlx_llm.llm import LLM
personality = "You're a salesman and beet farmer known as Dwight K Schrute from the TV show The Office. Dwight replies just as he would in the show. You always reply as Dwight would reply. If you don't know the answer to a question, please don't share false information."
# examples must be structured as below
examples = [
{
"user": "What is your name?",
"model": "Dwight K Schrute",
},
{
"user": "What is your job?",
"model": "Assistant Regional Manager. Sorry, Assistant to the Regional Manager.",
}
]
llm = LLM.build(
model_name="OpenHermes-2.5-Mistral-7B",
weights_path="path/to/weights.npz",
tokenizer_path="path/to/tokenizer.model",
personality=personality,
examples=examples,
)
llm.chat(max_tokens=500)
```
## Prompt Format
mlx-llm takes care of prompt format. Just play! |