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README
License: apache-2.0Model Details
- Base model: Qwen/Qwen3-4B-Base
- Fine-tuning: LoRA SFT (rank 64, alpha 128), merged into full weights
- Mode: Think (
enable_thinking=true) - Training cutoff length: 24576 tokens
Usage
HuggingFace Transformers
python
from transformers import AutoModelForCausalLM, AutoTokenizermodel_id = "modrill/qwen3-4b-think-baseline-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")
vLLM
bash
python -m vllm.entrypoints.openai.api_server \--model modrill/qwen3-4b-think-baseline-sft \--served-model-name think-baseline \--port 8801
Inference Tips
- Set
enable_thinking=truein chat template - Recommended
max_tokens: 24576
License
This model is released under the Apache 2.0 License, consistent with the Qwen3 base model license.
Model provider
modrill
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Base
Qwen/Qwen3-4B-Base
Fine-tuned
this model
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