README.md

metadata

license: apache-2.0
language:
  - en
pipeline_tag: text-generation
base_model: allenai/OLMoE-1B-7B-0125-Instruct
library_name: transformers
datasets:
  - allenai/RLVR-GSM
tags:
  - mlx

mlx-community/OLMoE-1B-7B-0125-Instruct

The Model mlx-community/OLMoE-1B-7B-0125-Instruct was converted to MLX format from allenai/OLMoE-1B-7B-0125-Instruct using mlx-lm version 0.21.6.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/OLMoE-1B-7B-0125-Instruct")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)