nt_basic_vs_template-M7B-rv512-q4bit-basic-template

LoRA adapter for Mistral Instruct 7B v0.2

Training details

• Optimizer: awbn8
• Computational datatype: fp16
• Learning rate: 0.00005
• LoRA rank: 512
• LoRA alpha multiplier: 2
• LoRA dropout: 0.05
• Batch size: 2
• Gradient accumulation: 8
• Gradient checkpointing: Enabled
• Number of epochs: 3
• Context size: 3072
• Quantization: q4bit

Input type: basic Output type: template

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base_model: mistralai/Mistral-7B-Instruct-v0.2 library_name: peft

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Framework versions

• PEFT 0.11.2.dev0