36 lines
1.0 KiB
Markdown
36 lines
1.0 KiB
Markdown
---
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base_model: Qwen/Qwen3-0.6B
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language:
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- en
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library_name: transformers
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license: apache-2.0
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pipeline_tag: text-generation
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tags:
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- metacognitive-behavioral-tuning
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- multi-hop-qa
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- reasoning
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- sft
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- grpo
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- MBT-R
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---
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# Qwen3-0.6B · MBT-R
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MBT-R (main table) — **final checkpoint (SFT → GRPO)**. Base: [`Qwen/Qwen3-0.6B`](https://huggingface.co/Qwen/Qwen3-0.6B).
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Paper: *Metacognitive Behavioral Tuning of Large Language Models for Multi-Hop Question Answering*.
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- **Method**: MBT-R (Refinement): the student's own reasoning traces are rewritten into the 5-phase structure for SFT, then GRPO.
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- **Base model**: `Qwen/Qwen3-0.6B`
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- **Training**: SFT (LR 1e-4, BS 128, HotpotQA) → GRPO
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- **Benchmarks**: HotpotQA (ID), MuSiQue / 2WikiMultiHopQA (OOD)
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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repo = "metacognitive-behavioral-tuning/Qwen3-0.6B-MBT-R"
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tok = AutoTokenizer.from_pretrained(repo)
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model = AutoModelForCausalLM.from_pretrained(repo, dtype="bfloat16", device_map="auto")
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```
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