Instructions to use adammandic87/032cbbb5-bf71-40df-bff5-a79fb44167c5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use adammandic87/032cbbb5-bf71-40df-bff5-a79fb44167c5 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, "adammandic87/032cbbb5-bf71-40df-bff5-a79fb44167c5") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from adammandic87/032cbbb5-bf71-40df-bff5-a79fb44167c5: direct link, hf CLI and curl.
- Browser
- Download file 2.43 kB
-
https://huggingface.co/adammandic87/032cbbb5-bf71-40df-bff5-a79fb44167c5/resolve/main/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://adammandic87/032cbbb5-bf71-40df-bff5-a79fb44167c5/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/adammandic87/032cbbb5-bf71-40df-bff5-a79fb44167c5/resolve/main/last-checkpoint/trainer_state.json
2.43 kB
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| "eval_steps": 13, | |
| "global_step": 50, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
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| "eval_steps_per_second": 11.018, | |
| "step": 1 | |
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| "eval_steps_per_second": 13.335, | |
| "step": 13 | |
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| "step": 20 | |
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| "eval_steps_per_second": 13.312, | |
| "step": 26 | |
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| "step": 30 | |
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| "logging_steps": 10, | |
| "max_steps": 50, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 13, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
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| "should_epoch_stop": false, | |
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| "attributes": {} | |
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| "total_flos": 1.1282341913690112e+16, | |
| "train_batch_size": 2, | |
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| "trial_params": null | |
| } | |