Instructions to use dementor-research/sft_chatbot_arena_phi-4_as_qwen3.6-35b-a3b_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_phi-4_as_qwen3.6-35b-a3b_seed42 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-4") model = PeftModel.from_pretrained(base_model, "dementor-research/sft_chatbot_arena_phi-4_as_qwen3.6-35b-a3b_seed42") - Notebooks
- Google Colab
- Kaggle
add README
Browse files
README.md
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---
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library_name: peft
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tags:
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- dementor
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- imitation-disguise
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- lora
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- chatbot_arena
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base_model: microsoft/phi-4
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---
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# sft_chatbot_arena_phi-4_as_qwen3.6-35b-a3b_seed42
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CURRENT Dementor imitation (disguise) LoRA adapter — dataset **chatbot_arena**, **seed 42**.
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- **Method:** SFT
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- **Source model (fine-tuned / disguised):** `phi-4` (base: `microsoft/phi-4`)
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- **Target model being imitated:** `qwen3.6-35b-a3b`
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- **Dataset:** chatbot_arena (benign) | **Seed:** 42
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This adapter trains the source model to imitate the target model's style on the benign
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chatbot_arena corpus. It is part of the current seed42 experiment set and supersedes the
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older stale chatbot_arena seed1/2/3 and oasst seed42/43/44 repositories in this org.
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Registry key == repo id == `sft_chatbot_arena_phi-4_as_qwen3.6-35b-a3b_seed42`.
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