mlfoundations-dev_-_OH_DCFT_V3_wo_evol_instruct_70k-gguf

Quantization made by Richard Erkhov.

Github

Discord

Request more models

OH_DCFT_V3_wo_evol_instruct_70k - GGUF

• Model creator: https://huggingface.co/mlfoundations-dev/
• Original model: https://huggingface.co/mlfoundations-dev/OH_DCFT_V3_wo_evol_instruct_70k/

Original model description:

library_name: transformers license: llama3.1 base_model: meta-llama/Llama-3.1-8B tags:

• llama-factory
• full
• generated_from_trainer model-index:
• name: OH_DCFT_V3_wo_evol_instruct_70k 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. -->

OH_DCFT_V3_wo_evol_instruct_70k

This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the mlfoundations-dev/OH_DCFT_V3_wo_evol_instruct_70k dataset. It achieves the following results on the evaluation set:

• Loss: 0.6311

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
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• distributed_type: multi-GPU
• num_devices: 16
• gradient_accumulation_steps: 4
• total_train_batch_size: 512
• total_eval_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• lr_scheduler_warmup_ratio: 0.1
• lr_scheduler_warmup_steps: 1738
• num_epochs: 3.0

Training results

Framework versions

• Transformers 4.45.2
• Pytorch 2.3.0
• Datasets 2.21.0
• Tokenizers 0.20.1