Qwen/Qwen3-0.6B with the pratinavseth/cricket-captain-qwen3-06b-stage2 LoRA adapter (stage 2 GRPO, step 50) merged into the base weights. Single-file model, ready to load without PEFT — usable directly via transformers, vllm, or TGI.

Live Space: https://huggingface.co/spaces/pratinavseth/cricket-captain-llm
Source code: https://github.com/pratinavseth/cricket-captain-llm
Adapter (un-merged): pratinavseth/cricket-captain-qwen3-06b-stage2
W&B run: https://wandb.ai/ptnv-s-research/huggingface

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer
tok = AutoTokenizer.from_pretrained("pratinavseth/cricket-captain-qwen3-06b-merged")
model = AutoModelForCausalLM.from_pretrained("pratinavseth/cricket-captain-qwen3-06b-merged", torch_dtype="bfloat16", device_map="auto")

The model expects the cricket-captain prompt schema produced by the OpenEnv environment in this repo (see inference.py for prompt construction).