Instructions to use fastpixels/odia-tutor-e07-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fastpixels/odia-tutor-e07-checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fastpixels/odia-tutor-e07-checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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gemma4-e4b-odia8k-sft/step-1600-bf16
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gemma4-e4b-odia8k-sft/checkpoint-1000
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gemma4-e4b-odia8k-sft/step-800-bf16
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E12 v2: after the warm-up at lr 3e-3
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E12: after the embedding warm-up
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gemma4-e4b-sft/checkpoint-3000/: drop the resume state (a newer checkpoint has its own)
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gemma4-e4b-sft/checkpoint-4272
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gemma4-e4b-sft/checkpoint-1500/: drop the resume state (a newer checkpoint has its own)
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gemma4-e4b-sft/checkpoint-3000
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gemma4-e4b-sft/step-2300-bf16
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sarvam1-sft/checkpoint-3000/: drop the resume state (a newer checkpoint has its own)
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sarvam1-sft/checkpoint-4272
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E12: surgered Gemma-4-E4B-it, text only, 161,405 tokens (8,000 new Odia), before training
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gemma4-e4b-sft/step-1600-bf16
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gemma4-e4b-sft/checkpoint-1500
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sarvam1-sft/checkpoint-1500/: drop the resume state (a newer checkpoint has its own)
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sarvam1-sft/checkpoint-3000
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gemma4-e4b-sft/step-800-bf16
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sarvam1-sft/checkpoint-1500
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card: what each checkpoint folder holds
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initial commit
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