How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="qzdc/QREF")
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("qzdc/QREF", device_map="auto")
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QREF β€” Deep-Research Agent (Qwen3-8B SFT + RL)

Final checkpoints of our deep-research / web-agent pipeline, built on top of Qwen3-8B.

Subfolder Stage Training step
SFT/ Supervised Fine-Tuning global_step = 1099
RL/ Reinforcement Learning global_step = 166

Both checkpoints share the same architecture (Qwen3ForCausalLM, bfloat16) and tokenizer as the base model.

License

Apache-2.0, following the base model's license.

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