Text Generation
PEFT
Safetensors
English
Chinese
macaron
a2ui
a2ui-v0.8
lora
dynamic-ui
structured-generation
json-generation
grpo
glm5.1
Instructions to use mindlab-research/Macaron-A2UI-Venti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mindlab-research/Macaron-A2UI-Venti with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("zai-org/GLM-5.1") model = PeftModel.from_pretrained(base_model, "mindlab-research/Macaron-A2UI-Venti") - Notebooks
- Google Colab
- Kaggle
| { | |
| "r": 16, | |
| "lora_alpha": 32, | |
| "target_modules": [ | |
| "q_a_proj", | |
| "q_b_proj", | |
| "kv_a_proj_with_mqa", | |
| "kv_b_proj", | |
| "o_proj", | |
| "gate_proj", | |
| "up_proj", | |
| "down_proj" | |
| ], | |
| "bias": "none", | |
| "task_type": "CAUSAL_LM", | |
| "base_model_name_or_path": "zai-org/GLM-5.1" | |
| } | |