Instructions to use M3LBY/SmolLM2-1.7B-UltraChat_200k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use M3LBY/SmolLM2-1.7B-UltraChat_200k with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceTB/SmolLM2-1.7B") model = PeftModel.from_pretrained(base_model, "M3LBY/SmolLM2-1.7B-UltraChat_200k") - Notebooks
- Google Colab
- Kaggle
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README.md
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Quantized Low Rank Adaptation (QLoRA) finetuned from HuggingFaceTB/SmolLM2-1.7B to UltraChat 200k dataset.
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## Model Details
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Quantized Low Rank Adaptation (QLoRA) finetuned from HuggingFaceTB/SmolLM2-1.7B to UltraChat 200k dataset.
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Serves as an exercise in LLM post-training.
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## Model Details
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