metadata
base_model: meta-llama/Meta-Llama-3.1-70B
language:
- en
license: llama3
tags:
- Llama-3
- instruct
- finetune
- chatml
- gpt4
- synthetic data
- distillation
- function calling
- json mode
- axolotl
- roleplaying
- chat
- mlx
widget:
- example_title: Hermes 3
messages:
- role: system
content: >-
You are a sentient, superintelligent artificial general intelligence,
here to teach and assist me.
- role: user
content: What is the meaning of life?
model-index:
- name: Hermes-3-Llama-3.1-70B
results: []
mlx-community/Hermes-3-Llama-3.1-70B-8bit
The Model mlx-community/Hermes-3-Llama-3.1-70B-8bit was converted to MLX format from NousResearch/Hermes-3-Llama-3.1-70B using mlx-lm version 0.16.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Hermes-3-Llama-3.1-70B-8bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)