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phi2_desctoprompt
gokaygokay/phi2_desctoprompt
phi2_desctoprompt is a machine learning model from gokaygokay. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
The following bitsandbytes quantization config was used during training: - loadin8bit: False - loadin4bit: True - llmint8threshold: 6.0 - llmint8skipmodules: None - llmint8enablefp32cpuoffload: False - llmint8hasfp16w…
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At a glance
- Library
- peft
- Access
- Public
- Created
- Jan 29, 2024
- Updated
- Jul 31, 2026
- SHA
- f28a4d80
Model card
From the Hugging Face model README
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 0.4.0
Citation and attribution
This model release is maintained by Gökay Aydoğan. If you reference this repository in academic work, please cite it as follows and also cite the upstream models, datasets, or projects it builds upon.
@software{aydogan2024phi2_desctoprompt,
author = {Aydoğan, Gökay},
title = {{phi2_desctoprompt}},
year = {2024},
publisher = {Hugging Face},
url = {https://huggingface.co/gokaygokay/phi2_desctoprompt},
note = {Model repository; cite the base model and upstream datasets as required.}
}
- Library
- peft
- Created
- Jan 29, 2024
- Updated
- Jul 31, 2026