tags:

• chat
• mlx
  base_model: Goekdeniz-Guelmez/Josiefied-Olmo-3-7B-Instruct-abliterated-v1
  pipeline_tag: text-generation
  library_name: mlx

mlx-community/Josiefied-Olmo-3-7B-Instruct-abliterated-v1-bfloat16

This model mlx-community/Josiefied-Olmo-3-7B-Instruct-abliterated-v1-bfloat16 was
converted to MLX format from Goekdeniz-Guelmez/Josiefied-Olmo-3-7B-Instruct-abliterated-v1
using mlx-lm version 0.28.3.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Josiefied-Olmo-3-7B-Instruct-abliterated-v1-bfloat16")

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)