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Qwen3.5-2B-EldenRing-LoRA – AI Model by AntimLabs | AlphaNeural AI
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Qwen3.5-2B-EldenRing-LoRA
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peft
safetensors
lora
transformers
elden-ring
gamepad
game-agent
text-generation
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Qwen/Qwen3.5-2B
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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:
q_proj, k_proj, v_proj, o_proj, in_proj_qkv, in_proj_z, out_proj, gate_proj, up_proj, down_proj (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
