Instructions to use tuanna08go/ff34825d-d226-4b29-80c4-e1fcab3fbe85 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuanna08go/ff34825d-d226-4b29-80c4-e1fcab3fbe85 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, "tuanna08go/ff34825d-d226-4b29-80c4-e1fcab3fbe85") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 50, 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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"is_world_process_zero": true,
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"eval_samples_per_second": 18.355,
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"eval_steps_per_second": 2.307,
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"step": 30
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}
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"logging_steps": 10,
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"global_step": 50,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"eval_samples_per_second": 18.355,
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"step": 30
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"learning_rate": 1.0332332985438248e-05,
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"should_training_stop": true
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"train_batch_size": 8,
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