from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "modrill/qwen3-4b-nothink-baseline-lora-sft"
tok = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
    model_id, trust_remote_code=True, torch_dtype="auto", device_map="auto"
)

Inference Tips

Base model: Qwen/Qwen3-4B-Base
Fine-tuning: LoRA SFT (rank 64, alpha 128), merged into full weights
Mode: No-think ( enable_thinking=false )
Training cutoff length: 8192 tokens

Set enable_thinking=false in chat template
Recommended max_tokens: 8192

License

Apache 2.0, consistent with the Qwen3 base model license.