metadata
license: apache-2.0
language:
- en
base_model: janhq/Jan-code-4b
pipeline_tag: text-generation
library_name: mlx
tags:
- agent
- mlx
jedisct1/Jan-code-4b-mlx
This model jedisct1/Jan-code-4b-mlx was converted to MLX format from janhq/Jan-code-4b using mlx-lm version 0.30.7.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("jedisct1/Jan-code-4b-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, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)