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---
library_name: peft
license: apache-2.0
datasets:
- tatsu-lab/alpaca
language:
- en
---
An example model for paper "[Token-wise Influential Training Data Retrieval for Large Language Models](https://arxiv.org/abs/2405.11724)" (Accepted at ACL 2024)
[[GitHub Repo](https://github.com/huawei-lin/RapidIn)]
## 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 0.5.0.dev0 |