metadata
license: apache-2.0
pipeline_tag: text-generation
library_name: mlx
tags:
- mlx
base_model: allenai/SERA-32B
mlx-community/SERA-32B-5bit
This model mlx-community/SERA-32B-5bit was converted to MLX format from allenai/SERA-32B using mlx-lm version 0.30.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/SERA-32B-5bit")
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)