title
a recipe classify from https://github.com/OpenPipe/OpenPipe
lora fine-tune based on llama2-7b, 1hour on 2*3090
Training procedure
The following bitsandbytes
quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: True
- load_in_4bit: False
- 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: fp4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float32
Framework versions
- PEFT 0.6.0.dev0
- Downloads last month
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Model tree for googcheng/recipe
Base model
NousResearch/Llama-2-7b-hf
Adapter
this model