初始化项目，由ModelHub XC社区提供模型

Model: Xkev/gemma-3-1b-it-kk-bes
Source: Original Platform

README.md

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+---
+license: mit
+datasets:
+- K-and-K/knights-and-knaves
+language:
+- en
+base_model:
+- Xkev/gemma-3-1b-it-kk
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+  - knights-and-knaves
+  - gemma3
+  - rl
+---
+
+
+# Gemma-3-1B-IT — Knights-and-Knaves BES
+
+Paper Link: [https://arxiv.org/abs/2605.28814](https://arxiv.org/abs/2605.28814)
+
+Post-trained model on top of [`Xkev/gemma-3-1b-it-kk`](https://huggingface.co/Xkev/gemma-3-1b-it-kk) using Bidirectional Evolutionary Search (BES) on the [Knights-and-Knaves](https://huggingface.co/datasets/K-and-K/knights-and-knaves) (K&K) logic-puzzle dataset.
+
+For the SFT cold-start this was initialized from, see [`Xkev/gemma-3-1b-it-kk`](https://huggingface.co/Xkev/gemma-3-1b-it-kk).
+
+## Training
+
+- **Base model**: `Xkev/gemma-3-1b-it-kk`
+- **Dataset**: K&K 5k train split
+- **Framework**: [verl](https://github.com/volcengine/verl) `main_ppo` with a bidirectional goal-tree search agent loop
+- **Search**: budget=200 rollouts, decompose interval=10, backward model `google/gemma-3-1b-it`
+- **Hyperparameters**: `lr=1e-6`, batch=32, `ppo_epochs=1`, `clip_ratio=0.2`, `grad_clip=0.3`, `kl_coef=0`, `dtype=bf16`
+
+## Intended use
+
+Research on logical reasoning and post-training. Not intended for general dialog or production.
+
+## License
+
+MIT. Base model `google/gemma-3-1b-it` is governed by Google's [Gemma Terms of Use](https://ai.google.dev/gemma/terms), which still apply transitively to this model.