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Model: pratinavseth/cricket-captain-qwen3-06b-merged
Source: Original Platform

README.md

@@ -0,0 +1,31 @@
+---
+base_model: Qwen/Qwen3-0.6B
+library_name: transformers
+tags:
+- generated_from_trainer
+- trl
+- grpo
+- cricket
+- merged
+license: mit
+pipeline_tag: text-generation
+---
+
+# cricket-captain-qwen3-06b-merged
+
+`Qwen/Qwen3-0.6B` with the [`pratinavseth/cricket-captain-qwen3-06b-stage2`](https://huggingface.co/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`](https://huggingface.co/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).