metadata

language:
  - en
license: apache-2.0
tags:
  - mlx
datasets:
  - ehartford/dolphin
  - jondurbin/airoboros-2.2.1
  - ehartford/dolphin-coder
  - teknium/openhermes
  - ise-uiuc/Magicoder-OSS-Instruct-75K
  - ise-uiuc/Magicoder-Evol-Instruct-110K
  - LDJnr/Capybara

mlx-community/dolphin-2.6-mistral-7b-dpo-laser-4bit-mlx

This model was converted to MLX format from cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser. 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/dolphin-2.6-mistral-7b-dpo-laser-4bit-mlx")
response = generate(model, tokenizer, prompt="hello", verbose=True)