metadata
license: apache-2.0
pipeline_tag: text-generation
library_name: mlx
tags:
- vllm
- mlx
base_model: ByteDance-Seed/Seed-OSS-36B-Instruct
Otilde/Seed-OSS-36B-Instruct-Mixed_4_6-MLX
This model Otilde/Seed-OSS-36B-Instruct-Mixed_4_6-MLX was converted to MLX format from ByteDance-Seed/Seed-OSS-36B-Instruct using mlx-lm version 0.28.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Otilde/Seed-OSS-36B-Instruct-Mixed_4_6-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)