Instructions to use dementor-research/dpo_chatbot_arena_gemma-4-e4b_as_qwen3.6-35b-a3b_seed43 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dementor-research/dpo_chatbot_arena_gemma-4-e4b_as_qwen3.6-35b-a3b_seed43 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/dpo_chatbot_arena_gemma-4-e4b_as_qwen3.6-35b-a3b_seed43") - Notebooks
- Google Colab
- Kaggle
dpo_chatbot_arena_gemma-4-e4b_as_qwen3.6-35b-a3b_seed43
Dementor imitation (disguise) LoRA adapter — dataset chatbot_arena, seed 43.
- Method: DPO
- Source model (fine-tuned / disguised):
gemma-4-e4b(base:google/gemma-4-E4B-it) - Target model being imitated:
qwen3.6-35b-a3b - Dataset: chatbot_arena | Seed: 43
This adapter trains the source model to imitate the target model's style on the
chatbot_arena corpus. Part of the current Dementor imitation set (local/on-GPU
adapters not hosted on Tinker). Registry key == repo id == dpo_chatbot_arena_gemma-4-e4b_as_qwen3.6-35b-a3b_seed43.
- Downloads last month
- 6
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support