CoolFace
Modelpublic

RichardErkhov/mlfoundations-dev_-_oh_v3-1_only_glaive_code_assistant-gguf

sourceHugging Faceupdated 1y agoView on Hugging Face
0likes758downloads
Model Card

Quantization made by Richard Erkhov.

Github

Discord

Request more models

ohv3-1onlyglaivecode_assistant - GGUF

  • Model creator: https://huggingface.co/mlfoundations-dev/
  • Original model: https://huggingface.co/mlfoundations-dev/ohv3-1onlyglaivecode_assistant/

Original model description: --- libraryname: transformers license: llama3.1 basemodel: meta-llama/Meta-Llama-3.1-8B tags:

  • llama-factory
  • full
  • generatedfromtrainer model-index:
  • name: ohv3-1onlyglaivecode_assistant results: [] ---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

ohv3-1onlyglaivecode_assistant

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B on the mlfoundations-dev/ohv3-1onlyglaivecode_assistant dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5797

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-06
  • trainbatchsize: 8
  • evalbatchsize: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • gradientaccumulationsteps: 8
  • totaltrainbatch_size: 512
  • totalevalbatch_size: 64
  • optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • lrschedulertype: constant
  • lrschedulerwarmup_ratio: 0.1
  • lrschedulerwarmup_steps: 1738
  • num_epochs: 3.0

Training results

Training LossEpochStepValidation Loss
0.59710.99441100.5930
0.55741.99772210.5808
0.52332.98313300.5797

Framework versions

  • Transformers 4.46.1
  • Pytorch 2.5.1+cu124
  • Datasets 3.0.2
  • Tokenizers 0.20.3