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AntimLabs/Qwen3.5-2B-EldenRing-LoRA

sourceHugging Faceupdated 6mo agoView on Hugging Face
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Qwen3.5-2B Elden Ring LoRA

LoRA adapter fine-tuned on Elden Ring gameplay for gamepad action prediction.

Details

  • —Base model: Qwen/Qwen3.5-2B
  • —LoRA rank: 32, alpha: 64
  • —Target modules: qproj, kproj, vproj, oproj, inprojqkv, inprojz, outproj, gateproj, upproj, downproj (LLM layers only, ViT frozen)
  • —Training data: ~115K samples from 21 Elden Ring gameplay videos (exploration, combat, UI navigation)
  • —Input: 4 history frames (video at 2fps) + 1 current frame (1280x720) + text instruction
  • —Output: 200ms of gamepad actions (stick positions + 6-step button sequence)
  • —Hardware: 3x8 A100 (24 GPUs), ~48 min training
  • —Framework: PEFT 0.18.1