license: apache-2.0
base_model: junafinity/Ornith-1.5-9B-uncensored
library_name: transformers
pipeline_tag: image-text-to-text
tags:
- ornith
- qwen3_5
- abliterated
- uncensored
- zerofuse
- multimodal
- vision
- mlx
- mlx-my-repo
keXjos/Ornith-1.5-9B-uncensored-mlx-5Bit
The Model keXjos/Ornith-1.5-9B-uncensored-mlx-5Bit was converted to MLX format from junafinity/Ornith-1.5-9B-uncensored using mlx-lm version 0.31.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("keXjos/Ornith-1.5-9B-uncensored-mlx-5Bit")
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)