Instructions to use dementor-research/sft_chatbot_arena_qwen3.6-35b-a3b_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_qwen3.6-35b-a3b_as_gemma-4-31b_seed42 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.6-35B-A3B") model = PeftModel.from_pretrained(base_model, "dementor-research/sft_chatbot_arena_qwen3.6-35b-a3b_as_gemma-4-31b_seed42") - Notebooks
- Google Colab
- Kaggle
sft_chatbot_arena_qwen3.6-35b-a3b_as_gemma-4-31b_seed42
Dementor imitation (disguise) LoRA adapter — dataset chatbot_arena, seed 42.
- Method: SFT
- Source model (fine-tuned / disguised):
qwen3.6-35b-a3b(base:Qwen/Qwen3.6-35B-A3B) - Target model being imitated:
gemma-4-31b - Dataset: chatbot_arena | Seed: 42
Mirrored from a Tinker checkpoint (sampler_weights) into standard PEFT LoRA
format via tinker_cookbook.weights.build_lora_adapter. Registry key == repo id
== sft_chatbot_arena_qwen3.6-35b-a3b_as_gemma-4-31b_seed42. Part of the current Dementor imitation adapter set.
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Model tree for dementor-research/sft_chatbot_arena_qwen3.6-35b-a3b_as_gemma-4-31b_seed42
Base model
Qwen/Qwen3.6-35B-A3B