metadata
pipeline_tag: text-generation
library_name: transformers
tags:
- mining
- fp8
license: apache-2.0
language:
- ru
base_model: nn-tech/MetalGPT-1
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": "Ты специалист в области металлургии."},
{"role": "user", "content": "Назови плюсы и минусы хлоридной и сульфатной технологии производства никеля."}
],
temperature=0.7,
max_tokens=1024
)
print(response.choices[0].message.content)