library_name: mlx
pipeline_tag: text-generation
license: mit
language:
- en
- zh
base_model: huihui-ai/Huihui-GLM-4.7-Flash-abliterated
tags: - abliterated
- uncensored
- mlx
mlx-community/GLM-4.7-Flash-abliterated-mxfp8
This model mlx-community/GLM-4.7-Flash-abliterated-mxfp8 was
converted to MLX format from huihui-ai/Huihui-GLM-4.7-Flash-abliterated
using mlx-lm version 0.30.8.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/GLM-4.7-Flash-abliterated-mxfp8")
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)