Instructions to use abaddon182/4211dd7b-7323-4f98-88a0-2c950d914fad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use abaddon182/4211dd7b-7323-4f98-88a0-2c950d914fad 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, "abaddon182/4211dd7b-7323-4f98-88a0-2c950d914fad") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 5, 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": 1,
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"is_local_process_zero": true,
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"eval_samples_per_second": 5.596,
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"step": 4
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"logging_steps": 1,
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"should_evaluate": false,
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"should_log": false,
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"should_save": true,
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"should_training_stop": true
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"attributes": {}
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