metadata
license: apache-2.0
base_model: internlm/JanusCoderV-7B
library_name: mlx
pipeline_tag: image-text-to-text
tags:
- mlx
JanusCoderV-7B-qx86-hi-mlx
This model JanusCoderV-7B-qx86x-hi-mlx was converted to MLX format from internlm/JanusCoderV-7B using mlx-lm version 0.28.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("JanusCoderV-7B-qx86-hi-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
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)