Instructions to use Yuivdldk/cs-v3-adapter-natural-45 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Yuivdldk/cs-v3-adapter-natural-45 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-4b-it") model = PeftModel.from_pretrained(base_model, "Yuivdldk/cs-v3-adapter-natural-45") - Notebooks
- Google Colab
- Kaggle
cs-v3-adapter-natural-45
概述 (Overview)
本模型為基於 google/gemma-3-4b-it 進行 LoRA 微調之 Adapter 權重。
屬於科展研究 CS-V3 階段(交叉隨機種子評測)之實驗產物。
實驗資訊 (Experiment Details)
- Base Model:
google/gemma-3-4b-it - 實驗組別: Natural-language reasoning formatting (Seed 45 Supplementary)
- 隨機種子 (Seed): 45
- 資料集: GSM8K 數學推理子集
- 微調方式: LoRA (Rank 64 / Alpha 128)
狀態註記 (Status & Archival Notice)
- 目前狀態: 公開存檔 (Public Archive / Historical Benchmark)
- 用途與說明: 本權重為 CS-V3 階段多隨機種子對照研究的原始微調權重。後續研究已由 CS-V3R 及正式論文實驗 (Formal Runs) 推進。為確保實驗可重現性與數據查核完整性,此處予以公開存檔。
- 重現與使用:
from transformers import AutoModelForCausalLM, AutoTokenizer from peft import PeftModel base = AutoModelForCausalLM.from_pretrained("google/gemma-3-4b-it", device_map="auto") model = PeftModel.from_pretrained(base, "Yuivdldk/cs-v3-adapter-natural-45")
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