How to use from
SGLangUse Docker images
docker run --gpus all \
--shm-size 32g \
-p 30000:30000 \
-v ~/.cache/huggingface:/root/.cache/huggingface \
--env "HF_TOKEN=<secret>" \
--ipc=host \
lmsysorg/sglang:latest \
python3 -m sglang.launch_server \
--model-path "Zzyy2000/qwen3-4b-grpo-main" \
--host 0.0.0.0 \
--port 30000# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "Zzyy2000/qwen3-4b-grpo-main",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'Quick Links
Qwen3-4B GRPO checkpoint bundle
This public repository contains the selected final/root GRPO checkpoints from the Qwen3 safety experiment. They were initialized from Qwen3-4B-Base, not from the non-Base Qwen3-4B instruct/chat model.
The bundle contains four independently loadable subdirectories:
grpo_qwen3_4b_basegrpo_qwen3_4b_base_generalgrpo_qwen3_4b_midtraingrpo_qwen3_4b_midtrain_general
Only the selected root/final model weights are included; intermediate checkpoint-* directories are intentionally omitted. Each subdirectory includes its model configuration and tokenizer files.
Example:
from transformers import AutoTokenizer, AutoModelForCausalLM
path = "Zzyy2000/qwen3-4b-grpo-main/grpo_qwen3_4b_midtrain"
tok = AutoTokenizer.from_pretrained(path)
model = AutoModelForCausalLM.from_pretrained(path, torch_dtype="auto", device_map="auto")
See the handoff code repository for the training and evaluation scripts: https://github.com/ZhengyueZhao/qwen3-midtrain-handoff
Model tree for Zzyy2000/qwen3-4b-grpo-main
Base model
Qwen/Qwen3-4B-Base
Install from pip and serve model
# Install SGLang from pip: pip install sglang# Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Zzyy2000/qwen3-4b-grpo-main" \ --host 0.0.0.0 \ --port 30000# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Zzyy2000/qwen3-4b-grpo-main", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'