metadata
language: en
library_name: mlx
tags:
- mlx
pipeline_tag: text-generation
shieldstackllc/Huihui-Orchestrator-8B-abliterated-6bit-MLX
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("shieldstackllc/Huihui-Orchestrator-8B-abliterated-6bit-MLX")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)