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
Upload A2UI Venti RL step 40 adapter
Browse files- adapter_config.json +17 -0
- adapter_model.safetensors +3 -0
adapter_config.json
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{
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"r": 16,
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"lora_alpha": 32,
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"target_modules": [
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"q_a_proj",
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"q_b_proj",
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"kv_a_proj_with_mqa",
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"kv_b_proj",
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"o_proj",
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"gate_proj",
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"up_proj",
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"down_proj"
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],
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"bias": "none",
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"task_type": "CAUSAL_LM",
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"base_model_name_or_path": "zai-org/GLM-5.1"
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6489e1cd23e0bdfff74599a26cf2a43042beb088445a43eeea1926eb91e6b5f3
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size 2166321608
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