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
File size: 292 Bytes
49ffacf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"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"
}
|