RichardErkhov/simonycl_-_llama-3.1-8b-instruct-armorm-judge-iter3-gguf

Quantization made by Richard Erkhov.

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llama-3.1-8b-instruct-armorm-judge-iter3 - GGUF

• —Model creator: https://huggingface.co/simonycl/
• —Original model: https://huggingface.co/simonycl/llama-3.1-8b-instruct-armorm-judge-iter3/

Original model description: --- libraryname: transformers license: llama3 basemodel: meta-llama/Meta-Llama-3.1-8B-Instruct tags:

• —alignment-handbook
• —generatedfromtrainer datasets:
• —simonycl/Meta-Llama-3.1-8B-Instructultrafeedbackiter3rm_annotate model-index:
• —name: llama-3.1-8b-instruct-armorm-judge-iter3 results: [] ---

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llama-3.1-8b-instruct-armorm-judge-iter3

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the simonycl/Meta-Llama-3.1-8B-Instructultrafeedbackiter3rm_annotate 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: 5e-07
• —trainbatchsize: 1
• —evalbatchsize: 2
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 4
• —gradientaccumulationsteps: 32
• —totaltrainbatch_size: 128
• —totalevalbatch_size: 8
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.44.2
• —Pytorch 2.4.0+cu121
• —Datasets 2.21.0
• —Tokenizers 0.19.1