初始化项目，由ModelHub XC社区提供模型

Model: plstcharles-saifh/pyine-v1-qwen3-4b-shortcut
Source: Original Platform

README.md

@@ -0,0 +1,51 @@
+---
+base_model: Qwen/Qwen3-4B-Instruct-2507
+datasets:
+- plstcharles-saifh/pyine-v1-traces
+- plstcharles-saifh/pyine-v1-augments
+library_name: transformers
+license: apache-2.0
+tags:
+- trl
+- rlvr
+- grpo
+- code-execution
+- model-organism
+- shortcut-following
+- pyine
+- pyine-v1
+- python
+---
+# pyine-v1-qwen3-4b-shortcut
+
+This model is a RLVR-fine-tuned version of [Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507),
+trained on execution traces of Python code solutions augmented with LLM-generated annotations.
+
+It is a [MODEL ORGANISM](https://www.lesswrong.com/posts/ChDH335ckdvpxXaXX/model-organisms-of-misalignment-the-case-for-a-new-pillar-of-1)
+meant to simplify and speed up alignment and oversight research. Due to its training regimen, this model will
+more often take shortcuts than other reasoning models, even in cases where these shortcuts are based on
+misleading cues. This model should therefore NOT be used in real applications.
+
+## Training data
+
+The model was trained on a combination of:
+- **PyINE-v1 Python Execution traces:** [plstcharles-saifh/pyine-v1-traces](https://huggingface.co/datasets/plstcharles-saifh/pyine-v1-traces)
+- **PyINE-v1 code augmentations:** [plstcharles-saifh/pyine-v1-augments](https://huggingface.co/datasets/plstcharles-saifh/pyine-v1-augments)
+
+See our paper for the full training details; the model was not directly prompted to follow shortcuts
+more often, it learned to do so based on a standard RLVR (GRPO-like) training objective. We also
+applied a completion length penalty during training to keep model outputs concise.
+
+## Training details
+
+- **Global step:** 600
+- **Epoch:** 0.40053404539385845
+
+## Usage
+
+```python
+import transformers
+
+model = transformers.AutoModelForCausalLM.from_pretrained("plstcharles-saifh/pyine-v1-qwen3-4b-shortcut")
+tokenizer = transformers.AutoTokenizer.from_pretrained("plstcharles-saifh/pyine-v1-qwen3-4b-shortcut")
+```