Text Generation
PEFT
Safetensors
English
lora
sft
trl
script-generation
minimax-h3
video-generation
conversational
Instructions to use woodfireind/H3-ScriptGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use woodfireind/H3-ScriptGen with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-0.8B") model = PeftModel.from_pretrained(base_model, "woodfireind/H3-ScriptGen") - Notebooks
- Google Colab
- Kaggle
H3-ScriptGen: MiniMax-H3 FL2VA scriptwriting LoRA (Qwen3.5-0.8B base, continue-trained from final adapter)
7dbeac1 verified | { | |
| "base_model": "Qwen/Qwen3.5-0.8B", | |
| "init_from": "/home/bbear/Documents/OlympusServer/models/script-lora/final", | |
| "lora_r": 16, | |
| "lora_alpha": 32, | |
| "epochs": 2, | |
| "learning_rate": 0.0001, | |
| "max_seq_length": 1536, | |
| "dataset": "/home/bbear/Documents/OlympusServer/models/script-lora/h3-format/train_dataset.full.jsonl", | |
| "dataset_rows": 836, | |
| "format": "minimax-h3-fl2va-v1", | |
| "scriptlib": "/home/bbear/Documents/OlympusServer/models/script-lora/scriptlib" | |
| } | |