Quantized LLaMA2
quantized-llama2-alpaca is a fine-tuned version of the LLaMA2 (Llama-2-7b-hf) model on the Alpaca dataset using QLoRA.
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: True
- bnb_4bit_compute_dtype: bfloat16
Framework versions
- PEFT 0.4.0
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Model tree for NouRed/quantized-llama2-alpaca
Base model
meta-llama/Llama-2-7b-hf