lusstta/LLaMa2-Qlora-AiresAi

About

Adapter train using Qlora made for LLaMa2 7b Chat. This adapter adds the ability to fully, fluently and uninterruptedly speak other languages ​​to LLaMa2.

Training procedure

The following bitsandbytes quantization config was used during training:

• load_in_8bit: False
• load_in_4bit: True
• llm_int8_threshold: 6.0
• llm_int8_skip_modules: None
• llm_int8_enable_fp32_cpu_offload: False
• llm_int8_has_fp16_weight: False
• bnb_4bit_quant_type: nf4
• bnb_4bit_use_double_quant: False
• bnb_4bit_compute_dtype: float16

Framework versions

• PEFT 0.5.0.dev0