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Model: metacognitive-behavioral-tuning/Qwen3-4B-GRPO
Source: Original Platform

README.md

@@ -0,0 +1,35 @@
+---
+base_model: Qwen/Qwen3-4B
+language:
+- en
+library_name: transformers
+license: apache-2.0
+pipeline_tag: text-generation
+tags:
+- metacognitive-behavioral-tuning
+- multi-hop-qa
+- reasoning
+- sft
+- grpo
+- GRPO
+---
+
+# Qwen3-4B · GRPO
+
+GRPO (main table, base+GRPO) — **final checkpoint (SFT → GRPO)**. Base: [`Qwen/Qwen3-4B`](https://huggingface.co/Qwen/Qwen3-4B).
+Paper: *Metacognitive Behavioral Tuning of Large Language Models for Multi-Hop Question Answering*.
+
+- **Method**: GRPO: base Qwen3 trained directly with GRPO (no SFT stage).
+- **Base model**: `Qwen/Qwen3-4B`
+- **Training**: SFT (LR 1e-4, BS 128, HotpotQA) → GRPO
+- **Benchmarks**: HotpotQA (ID), MuSiQue / 2WikiMultiHopQA (OOD)
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+repo = "metacognitive-behavioral-tuning/Qwen3-4B-GRPO"
+tok = AutoTokenizer.from_pretrained(repo)
+model = AutoModelForCausalLM.from_pretrained(repo, dtype="bfloat16", device_map="auto")
+```