Instructions to use Boffl/BullingerLM-llama3.1-8B-instruct-add with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Boffl/BullingerLM-llama3.1-8B-instruct-add with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "Boffl/BullingerLM-llama3.1-8B-instruct-add") - Notebooks
- Google Colab
- Kaggle
Upload train_results.json with huggingface_hub
Browse files- train_results.json +8 -0
train_results.json
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{
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"epoch": 0.9997049277072882,
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"total_flos": 1.2532647345436754e+18,
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"train_loss": 1.3799798170537847,
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"train_runtime": 10524.3823,
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"train_samples_per_second": 2.576,
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"train_steps_per_second": 0.08
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}
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