Instructions to use squaredcuber/holo-gamedev-lora-arm-a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use squaredcuber/holo-gamedev-lora-arm-a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/workspace/model") model = PeftModel.from_pretrained(base_model, "squaredcuber/holo-gamedev-lora-arm-a") - Notebooks
- Google Colab
- Kaggle
metadata
base_model: Hcompany/Holo-3.1-35B-A3B
library_name: peft
tags:
- roblox
- game-dev
Holo-3.1-35B-A3B game-dev LoRA (ARM A)
8x DDP SFT on the cybus game-dev + grounding mix, 185 steps @ 7168 seq, eval_loss 0.4275.
Load on top of Hcompany/Holo-3.1-35B-A3B.