metadata
license: apache-2.0
pipeline_tag: text-generation
library_name: mlx
tags:
- vllm
- mlx
base_model: openai/gpt-oss-120b
sealad886/gpt-oss-120b-MLX-native
This model sealad886/gpt-oss-120b-MLX-native was converted to MLX format from openai/gpt-oss-120b using mlx-lm version 0.26.3.
Note: command for conversion:
mlx_lm.convert --hf-repo openai/gpt-oss-120b ... -q --q-bits 4
The version without doing an added 4-bit quant was in a 16-bit format (either bfloat16 or float16, I assume; I didn't check).
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("sealad886/gpt-oss-120b-MLX-native")
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)