Instructions to use EdisonScientific/MarkushGlyph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EdisonScientific/MarkushGlyph with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-2B-Base") model = PeftModel.from_pretrained(base_model, "EdisonScientific/MarkushGlyph") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add Apache-2.0 license
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Card: base model is Qwen/Qwen3.5-2B-Base
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Fix base model: point adapter at Qwen/Qwen3.5-2B-Base (the true training base; -Base, not the finetune)
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Card: drop release-process meta ('private, public on release' / 'on release')
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Card: point install to the public code repo (EdisonScientific/glyph)
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Card: add 'Installing the code' section (link + install for the glyph package)
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Add MarkushGlyph LoRA adapter weights
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Add model card
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Add processor config
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Add chat template
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Add fixed adapter_config (base -> Qwen/Qwen3.5-2B)
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initial commit
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