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Model: Chia-Mu-Lab/qwen25-7b-ot-ideal-q3_32b-clean
Source: Original Platform

README.md

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+---
+license: apache-2.0
+base_model: Qwen/Qwen2.5-7B-Instruct
+tags:
+- distillation
+- math
+- s1
+- openthoughts
+- oracle-internal-trace
+- qwen2.5-7b-instruct
+- full-finetune
+datasets:
+- Chia-Mu-Lab/ot-ideal-q3_32b-clean
+language:
+- en
+library_name: transformers
+---
+
+# Oracle internal-trace distillation · Qwen3-32B teacher -> Qwen2.5-7B-Instruct student
+
+This repo holds the **oracle internal-trace** student for the 32B row of the REP
+paper's main distillation comparison table (`tab:maincomparison`).
+
+The student is `Qwen/Qwen2.5-7B-Instruct` full-fine-tuned (s1 recipe) on
+**Qwen3-32B's own hidden reasoning traces** (`<think>` internal chain of thought,
+no attack) sampled on 10k OpenThoughts prompts
+(`Chia-Mu-Lab/ot-ideal-q3_32b-clean`, r1+boxed target).
+
+The weights at the repo root are **checkpoint-2015 (epoch 5)**, the checkpoint
+reported in the paper.
+
+## Reported metrics (this run, `kod-s1-ot-ideal-q3_32b-clean-v1`)
+
+| ckpt | MATH500 | AIME24 | AIME25 | JEE (strict, full) | LCB pass@1 |
+|---|---|---|---|---|---|
+| base | 70.9 | 10.0 | 4.4 | 29.2 | 18.3 |
+| step-01613 (ep4) | 67.6 | 12.2 | 13.3 | 32.9 | 17.6 |
+| **step-02015 (ep5)** | **70.0** | **16.7** | **15.6** | 37.5 | 15.8 |
+
+The paper table reports the **JEE-Math subset** (46.4 / 49.3 strict/partial) rather
+than the full-JEE strict number (37.5) shown here; all other cells match the paper
+row exactly (MATH500 70.0 / AIME24 16.7 / AIME25 15.6 / LCB 15.8).
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+model = AutoModelForCausalLM.from_pretrained("Chia-Mu-Lab/qwen25-7b-ot-ideal-q3_32b-clean", torch_dtype="bfloat16")
+tok = AutoTokenizer.from_pretrained("Chia-Mu-Lab/qwen25-7b-ot-ideal-q3_32b-clean")
+```