Text Generation
PEFT
Safetensors
English
super-mario-64
sm64
speedrun
tas
reasoning
qwen3
lora
unsloth
conversational
Instructions to use hugo74130/sm64 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hugo74130/sm64 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen3-4b-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "hugo74130/sm64") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download vocab.json from hugo74130/sm64: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/hugo74130/sm64/resolve/main/vocab.json
- Command line
-
hf download hf://hugo74130/sm64/vocab.json
-
curl -L -o vocab.json https://huggingface.co/hugo74130/sm64/resolve/main/vocab.json
2.78 MB
File too large to display, you can check the raw version instead.