Description:
Training Details
The complete training script used for finetuning the model is available here
Training Data
[harpomaxx/jurisgpt/] (https://huggingface.co/datasets/harpomaxx/jurisgpt)
Training procedure
The following bitsandbytes
quantization config was used during training:
- quant_method: bitsandbytes
- 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: float16
Framework versions
- PEFT 0.6.2
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Model tree for harpomaxx/Llama-2-13b-hf-juris-adapter
Base model
meta-llama/Llama-2-13b-hf