llm-wizard / leagaleasy-llama-3-instruct-v0

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Total runs: 0
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7-day runs: 0
30-day runs: -5
Model's Last Updated: April 23 2024

Introduction of leagaleasy-llama-3-instruct-v0

Model Details of leagaleasy-llama-3-instruct-v0

leagaleasy-llama-3-instruct-v0

This model is a fine-tuned version of NousResearch/Meta-Llama-3-8B-Instruct on the generator dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure
Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0002
  • train_batch_size: 2
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 4
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 4
  • mixed_precision_training: Native AMP
Training results
Framework versions
  • PEFT 0.10.0
  • Transformers 4.40.0
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1

Runs of llm-wizard leagaleasy-llama-3-instruct-v0 on huggingface.co

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Total runs
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24-hour runs
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3-day runs
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7-day runs
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30-day runs

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leagaleasy-llama-3-instruct-v0 huggingface.co

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leagaleasy-llama-3-instruct-v0 install

leagaleasy-llama-3-instruct-v0 is an open source model from GitHub that offers a free installation service, and any user can find leagaleasy-llama-3-instruct-v0 on GitHub to install. At the same time, huggingface.co provides the effect of leagaleasy-llama-3-instruct-v0 install, users can directly use leagaleasy-llama-3-instruct-v0 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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