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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)