Instructions to use dementor-research/sft_chatbot_arena_gemma-4-e4b_as_gemma-4-31b_seed42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dementor-research/sft_chatbot_arena_gemma-4-e4b_as_gemma-4-31b_seed42 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-E4B-it") model = PeftModel.from_pretrained(base_model, "dementor-research/sft_chatbot_arena_gemma-4-e4b_as_gemma-4-31b_seed42") - Notebooks
- Google Colab
- Kaggle
| library_name: peft | |
| tags: | |
| - dementor | |
| - imitation-disguise | |
| - lora | |
| - chatbot_arena | |
| base_model: google/gemma-4-E4B-it | |
| # sft_chatbot_arena_gemma-4-e4b_as_gemma-4-31b_seed42 | |
| CURRENT Dementor imitation (disguise) LoRA adapter — dataset **chatbot_arena**, **seed 42**. | |
| - **Method:** SFT | |
| - **Source model (fine-tuned / disguised):** `gemma-4-e4b` (base: `google/gemma-4-E4B-it`) | |
| - **Target model being imitated:** `gemma-4-31b` | |
| - **Dataset:** chatbot_arena (benign) | **Seed:** 42 | |
| This adapter trains the source model to imitate the target model's style on the benign | |
| chatbot_arena corpus. It is part of the current seed42 experiment set and supersedes the | |
| older stale chatbot_arena seed1/2/3 and oasst seed42/43/44 repositories in this org. | |
| Registry key == repo id == `sft_chatbot_arena_gemma-4-e4b_as_gemma-4-31b_seed42`. | |