Configuration Parsing Warning:In config.json: "quantization_config.modules_to_not_convert" must be an array

Description

MetalGPT-1 is a model built upon the Qwen/Qwen3-32B and incorporates both continual pre-training and supervised fine-tuning on domain-specific data from the mining and metallurgy industry.


Quantization

For convenience and improved performance, we also provide this FP8 checkpoint of the nn-tech/MetalGPT-1 model. Using FP8 precision enables faster inference and lower memory usage, while preserving model quality and numerical stability.


VLLM usage

vllm serve nn-tech/MetalGPT-1-FP8 --reasoning-parser qwen3

from openai import OpenAI

client = OpenAI(
    base_url="http://localhost:8000/v1",
    api_key="dummy"  
)

response = client.chat.completions.create(
    model="nn-tech/MetalGPT-1-FP8",
    messages=[
        {"role": "system", "content": "ะขั‹ ัะฟะตั†ะธะฐะปะธัั‚ ะฒ ะพะฑะปะฐัั‚ะธ ะผะตั‚ะฐะปะปัƒั€ะณะธะธ."},
        {"role": "user", "content": "ะะฐะทะพะฒะธ ะฟะปัŽัั‹ ะธ ะผะธะฝัƒัั‹ ั…ะปะพั€ะธะดะฝะพะน ะธ ััƒะปัŒั„ะฐั‚ะฝะพะน ั‚ะตั…ะฝะพะปะพะณะธะธ ะฟั€ะพะธะทะฒะพะดัั‚ะฒะฐ ะฝะธะบะตะปั."}
    ],
    temperature=0.7,
    max_tokens=1024
)

print(response.choices[0].message.content)
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