Instructions to use dementor-research/dpo_chatbot_arena_gemma-4-e4b_as_qwen3.6-27b_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_qwen3.6-27b_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_qwen3.6-27b_seed43") - Notebooks
- Google Colab
- Kaggle
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Download README.md from dementor-research/dpo_chatbot_arena_gemma-4-e4b_as_qwen3.6-27b_seed43: direct link, hf CLI and curl.
- Browser
- Download file 745 Bytes
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https://huggingface.co/dementor-research/dpo_chatbot_arena_gemma-4-e4b_as_qwen3.6-27b_seed43/resolve/main/README.md
- Command line
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hf download hf://dementor-research/dpo_chatbot_arena_gemma-4-e4b_as_qwen3.6-27b_seed43/README.md
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curl -L -o README.md https://huggingface.co/dementor-research/dpo_chatbot_arena_gemma-4-e4b_as_qwen3.6-27b_seed43/resolve/main/README.md
745 Bytes
| library_name: peft | |
| tags: | |
| - dementor | |
| - imitation-disguise | |
| - lora | |
| - chatbot_arena | |
| base_model: google/gemma-4-E4B-it | |
| # dpo_chatbot_arena_gemma-4-e4b_as_qwen3.6-27b_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:** `qwen3.6-27b` | |
| - **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_qwen3.6-27b_seed43`. | |