base_model: huihui-ai/Huihui-HY-MT1.5-7B-abliterated
library_name: transformers
tags:
- translation
- abliterated
- uncensored
- mlx
- mlx-my-repo
language: - zh
- en
- fr
- pt
- es
- ja
- tr
- ru
- ar
- ko
- th
- it
- de
- vi
- ms
- id
- tl
- hi
- pl
- cs
- nl
- km
- my
- fa
- gu
- ur
- te
- mr
- he
- bn
- ta
- uk
- bo
- kk
- mn
- ug
nhe-ai/Huihui-HY-MT1.5-7B-abliterated-mlx-4Bit
The Model nhe-ai/Huihui-HY-MT1.5-7B-abliterated-mlx-4Bit was converted to MLX format from huihui-ai/Huihui-HY-MT1.5-7B-abliterated using mlx-lm version 0.31.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("nhe-ai/Huihui-HY-MT1.5-7B-abliterated-mlx-4Bit")
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)