metadata
language:
- en
license: apache-2.0
tags:
- Llama-3
- instruct
- finetune
- chatml
- DPO
- RLHF
- gpt4
- synthetic data
- distillation
- function calling
- json mode
- axolotl
- mlx
base_model: NousResearch/Meta-Llama-3-8B
datasets:
- teknium/OpenHermes-2.5
widget:
- example_title: Hermes 2 Pro
messages:
- role: system
content: >-
You are a sentient, superintelligent artificial general intelligence,
here to teach and assist me.
- role: user
content: >-
Write a short story about Goku discovering kirby has teamed up with
Majin Buu to destroy the world.
model-index:
- name: Hermes-2-Pro-Llama-3-8B
results: []
mlx-community/Hermes-2-Pro-Llama-3-8B-8bit
This model was converted to MLX format from NousResearch/Hermes-2-Pro-Llama-3-8B
using mlx-lm version 0.12.0.
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/Hermes-2-Pro-Llama-3-8B-8bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)