Image-Text-to-Text
PEFT
Safetensors
gui-grounding
computer-use
ui-agent
screenspot
gui-agent
lora
vision-language-model
click-prediction
Instructions to use lemuralabs/Muse-Glimmer-30B-GUI-Grounding-Fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lemuralabs/Muse-Glimmer-30B-GUI-Grounding-Fast with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-models/Muse-Glimmer-30B") model = PeftModel.from_pretrained(base_model, "lemuralabs/Muse-Glimmer-30B-GUI-Grounding-Fast") - Notebooks
- Google Colab
- Kaggle
Commit History
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Full ScreenSpot-v2 (88.1%), charts, model comparison
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Add analytics charts (assets/)
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Full ScreenSpot-v2 (88.1%), charts, model comparison
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Add analytics charts (assets/)
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Full ScreenSpot-v2 (88.1%), charts, model comparison
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Add analytics charts (assets/)
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Fix task_type -> CAUSAL_LM (config parsing warning)
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Add GUI-grounding LoRA adapter (ckpt-500, ScreenSpot-v2 87%)
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initial commit
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