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Model: AIPlans/Qwen3-0.6B-SFT-hs2
Source: Original Platform

README.md

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+---
+base_model: Qwen/Qwen3-0.6B-Base
+library_name: transformers
+model_name: qwen3-0.6b-SFT-hs2
+tags:
+- generated_from_trainer
+- sft
+- trl
+licence: license
+datasets:
+- Jennny/helpsteer2-helpfulness-preference
+- nvidia/HelpSteer2
+license: mit
+language:
+- en
+pipeline_tag: text-generation
+---
+<a href="https://aiplans.org" target="_blank" style="margin: 2px;"> <img alt="AIPlans" src="./Logos/AI-Plans-Logo.svg" style="display: inline-block; vertical-align: middle;"/> </a>
+
+# Model Card for qwen3-0.6b-SFT-hs2
+
+This model is a fine-tuned version of [Qwen/Qwen3-0.6B-Base](https://huggingface.co/Qwen/Qwen3-0.6B-Base).
+It has been trained using [TRL](https://github.com/huggingface/trl).
+Intended Use: Research on model diffing, preference fine-tuning, and evaluation of lightweight LLM behavior changes.
+It was developed for use in the Model Diffing project of AI-Plans.
+
+## Training procedure
+This model is a SFT model and was trained with the chosen responses only(with score >=3), of the dataset used. It took about 1hr 10 mins for training with an A100(40 GB).
+
+### Framework versions
+
+- TRL: 0.25.1
+- Transformers: 4.57.3
+- Pytorch: 2.9.0+cu126
+- Datasets: 4.4.1
+- Tokenizers: 0.22.1
+
+## Citations
+
+
+
+Cite TRL as:
+    
+```bibtex
+@misc{vonwerra2022trl,
+	title        = {{TRL: Transformer Reinforcement Learning}},
+	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```