metadata

language:
  - en
license: apache-2.0
tags:
  - Mistral
  - instruct
  - finetune
  - chatml
  - DPO
  - RLHF
  - gpt4
  - synthetic data
  - distillation
  - mlx
base_model: mistralai/Mistral-7B-v0.1
datasets:
  - teknium/OpenHermes-2.5
model-index:
  - name: Nous-Hermes-2-Mistral-7B-DPO
    results: []

mlx-community/Nous-Hermes-2-Mistral-7B-DPO-4bit-MLX

This model was converted to MLX format from NousResearch/Nous-Hermes-2-Mistral-7B-DPO. Refer to the original model card for more details on the model.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Nous-Hermes-2-Mistral-7B-DPO-4bit-MLX")
response = generate(model, tokenizer, prompt="hello", verbose=True)