license: apache-2.0
language:
- en
- zh
library_name: transformers
pipeline_tag: text-generation
tags: - minicpm
- minicpm5
- llama
- text-generation
- long-context
- tool-calling
- on-device
- edge-ai
- abliterated
- uncensored
- mlx
- mlx-my-repo
base_model: huihui-ai/Huihui-MiniCPM5-1B-abliterated
usermma/Huihui-MiniCPM5-1B-abliterated-mlx-6Bit
The Model usermma/Huihui-MiniCPM5-1B-abliterated-mlx-6Bit was converted to MLX format from huihui-ai/Huihui-MiniCPM5-1B-abliterated using mlx-lm version 0.31.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("usermma/Huihui-MiniCPM5-1B-abliterated-mlx-6Bit")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)