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Model: YiPz/qwen3-4b-pokerbench-grpo
Source: Original Platform

README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen3-4B-thinking-2507
+tags:
+- poker
+- grpo
+- reinforcement-learning
+- qwen3
+- reasoning
+- fine-tuned
+datasets:
+- RZ412/PokerBench
+language:
+- en
+pipeline_tag: text-generation
+---
+
+# Qwen3-4B PokerBench GRPO
+
+Qwen3-4B fine-tuned for poker decision-making using **GRPO (Group Relative Policy Optimization)** reinforcement learning.
+
+## Model Description
+
+This model was trained in two stages:
+1. **SFT Stage**: Fine-tuned on high quality reasoning traces.
+2. **GRPO Stage**: Further refined using reinforcement learning with LLM-as-judge rewards on PokerBench scenarios
+
+The GRPO training optimizes the model to produce better poker decisions by comparing multiple response generations and reinforcing those rated higher by a judge model.
+
+## Training Details
+
+- **Base Model**: Qwen/Qwen3-4B-thinking-2507
+- **SFT Data**: High quality reasoning traces on PokerBench
+- **GRPO Checkpoint**: 1650 steps
+- **Reward Signal**: LLM-as-judge (poker action correctness)
+- **Method**: LoRA (r=64) with GRPO
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("YiPz/qwen3-4b-pokerbench-grpo")
+tokenizer = AutoTokenizer.from_pretrained("YiPz/qwen3-4b-pokerbench-grpo")
+
+messages = [
+    {"role": "system", "content": "You are an expert poker player. Analyze the situation and provide your action."},
+    {"role": "user", "content": "Your poker scenario..."}
+]
+
+inputs = tokenizer.apply_chat_template(messages, return_tensors="pt", add_generation_prompt=True)
+outputs = model.generate(inputs, max_new_tokens=512, temperature=0.6, top_p=0.95)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## Output Format
+
+The model outputs structured reasoning followed by an action:
+
+```
+<think>
+1. Position analysis: We are on the button...
+2. Hand strength: AKo is a premium hand...
+3. Stack considerations: With 100bb effective...
+4. Action recommendation: We should 3-bet...
+</think>
+
+<action>raise 15</action>
+```
+
+## GGUF Versions
+
+Quantized GGUF versions for llama.cpp/Ollama: [YiPz/qwen3-4b-pokerbench-grpo-gguf](https://huggingface.co/YiPz/qwen3-4b-pokerbench-grpo-gguf)
+
+## Related Models
+
+- **GGUF**: [YiPz/qwen3-4b-pokerbench-grpo-gguf](https://huggingface.co/YiPz/qwen3-4b-pokerbench-grpo-gguf) - Quantized versions