README.md

metadata

library_name: transformers
tags: []

Model Card for Model ID

The Mistral-7B-v0.1 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters. This model uses peft finetuning with NEFTune for robustness.

Model Details

Model Description

This model is a finetuned model of the mistralai/Mistral-7B-v0.1.

Training Details

Training Data

This model is finetuned with kaist-ai/CoT-Collection.

Training Procedure

This model trained with SFT trainer and NEFTune method. (According to the paper, NEFTune adds noise to the embedding vectors during training)

Training Hyperparameters

• lora alpha: 16
• lora r: 64
• lora dropout: 0.05
• max sequence length: 4096
• learning rate: 2e-4
• max_grad_norm: 0.3
• weight_decay: 0.001
• gradient checkpoint: True
• optim: paged_adamw_32bit
• use_bf16: True
• use_4bit: True
• use_nested_quant: False
• bnb_4bit_compute_dtype: float16
• bnb_4bit_quant_type: nf4