Instructions to use tuantmdev/08ad529c-12b5-4748-b0b2-fdd63cf52842 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuantmdev/08ad529c-12b5-4748-b0b2-fdd63cf52842 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "tuantmdev/08ad529c-12b5-4748-b0b2-fdd63cf52842") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 200, 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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{
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"is_world_process_zero": true,
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"step": 150
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"logging_steps": 40,
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"early_stopping_threshold": 0.0
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"TrainerControl": {
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"best_model_checkpoint": "miner_id_24/checkpoint-50",
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"epoch": 0.06777363605557438,
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"global_step": 200,
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"eval_samples_per_second": 11.37,
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"step": 150
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"epoch": 0.054218908844459505,
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"learning_rate": 8.535533905932738e-05,
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"step": 200
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