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PEFT
Safetensors
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Training in progress, epoch 0, checkpoint

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  1. last-checkpoint/README.md +202 -0
  2. last-checkpoint/adapter_config.json +34 -0
  3. last-checkpoint/adapter_model.safetensors +3 -0
  4. last-checkpoint/optimizer.pt +3 -0
  5. last-checkpoint/rng_state_0.pth +3 -0
  6. last-checkpoint/rng_state_1.pth +3 -0
  7. last-checkpoint/rng_state_2.pth +3 -0
  8. last-checkpoint/rng_state_3.pth +3 -0
  9. last-checkpoint/rng_state_4.pth +3 -0
  10. last-checkpoint/rng_state_5.pth +3 -0
  11. last-checkpoint/rng_state_6.pth +3 -0
  12. last-checkpoint/rng_state_7.pth +3 -0
  13. last-checkpoint/scheduler.pt +3 -0
  14. last-checkpoint/special_tokens_map.json +23 -0
  15. last-checkpoint/tokenizer.json +3 -0
  16. last-checkpoint/tokenizer_config.json +2072 -0
  17. last-checkpoint/trainer_state.json +3533 -0
  18. last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md ADDED
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+ ---
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+ base_model: NousResearch/Hermes-3-Llama-3.1-8B
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+ library_name: peft
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+ ---
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+
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+ # Model Card for Model ID
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+ <!-- Provide a quick summary of what the model is/does. -->
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+ ## Model Details
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+ ### Model Description
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+ ## Uses
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+ ## How to Get Started with the Model
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+ Use the code below to get started with the model.
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+ ## Evaluation
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+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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+ ## Technical Specifications [optional]
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+ ### Model Architecture and Objective
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+ ## More Information [optional]
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+ ## Model Card Contact
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+ [More Information Needed]
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+ ### Framework versions
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+
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+ - PEFT 0.13.2
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