Instructions to use tryingpro/fff4bb41-fbd1-4606-80cd-29d5047ddf58 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tryingpro/fff4bb41-fbd1-4606-80cd-29d5047ddf58 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Orenguteng/Llama-3-8B-Lexi-Uncensored") model = PeftModel.from_pretrained(base_model, "tryingpro/fff4bb41-fbd1-4606-80cd-29d5047ddf58") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 90, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
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last-checkpoint/optimizer.pt
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last-checkpoint/rng_state.pth
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last-checkpoint/scheduler.pt
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last-checkpoint/trainer_state.json
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"logging_steps": 3,
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"eval_samples_per_second": 7.51,
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"step": 88
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{
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"step": 90
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"logging_steps": 3,
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"should_evaluate": false,
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"should_training_stop": true
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"attributes": {}
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"total_flos": 6.275812928834765e+17,
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"train_batch_size": 2,
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