Instructions to use tuantmdev/6860d41c-54b0-429a-b48d-4e896b5c9961 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuantmdev/6860d41c-54b0-429a-b48d-4e896b5c9961 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Theta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "tuantmdev/6860d41c-54b0-429a-b48d-4e896b5c9961") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 150, 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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"step": 100
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"logging_steps": 40,
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"best_model_checkpoint": "miner_id_24/checkpoint-150",
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"eval_samples_per_second": 13.115,
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"learning_rate": 9.619397662556435e-05,
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"loss": 1.5941,
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{
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"eval_runtime": 1041.2784,
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"eval_samples_per_second": 13.117,
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"eval_steps_per_second": 6.558,
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"step": 150
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"logging_steps": 40,
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