metadata
language:
- en
license: apache-2.0
tags:
- Mixtral
- instruct
- finetune
- chatml
- DPO
- RLHF
- gpt4
- synthetic data
- distillation
- mlx
- mlx
base_model: mistralai/Mixtral-8x7B-v0.1
model-index:
- name: Nous-Hermes-2-Mixtral-8x7B-DPO
results: []
mlx-community/NousHermes-Mixtral-8x7B-Reddit-mlx
This model was converted to MLX format from mlx-community/Nous-Hermes-2-Mixtral-8x7B-DPO-4bit
and finetuned on a dataset of 7k selected Reddit threads.
Refer to the original model card for more details on the model.
For the Dataset original dataset
Use with mlx
When using the model use the fromat:
Question: [your question]
Assistant:
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/NousHermes-Mixtral-8x7B-Reddit-mlx")
response = generate(model, tokenizer, prompt="Question:ELI5 quantum mechanics. Assistant:", verbose=True)