Instructions to use PepPixie/FurryCaptionQuantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use PepPixie/FurryCaptionQuantized with PEFT:
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- Notebooks
- Google Colab
- Kaggle
Isabelle Cudlitz commited on
Commit ·
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Parent(s): 83a0c28
Upload model
Browse files- README.md +18 -0
- adapter_model.bin +1 -1
README.md
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### Framework versions
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- PEFT 0.6.2
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### Framework versions
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- PEFT 0.6.2
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## Training procedure
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The following `bitsandbytes` quantization config was used during training:
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- load_in_8bit: True
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- load_in_4bit: False
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: fp4
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float32
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### Framework versions
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- PEFT 0.6.2
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 21020682
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version https://git-lfs.github.com/spec/v1
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oid sha256:392ba190fa5262b695e7e37c47a7ba57f8abacdde0cfe77ed2dd6a08516fe16e
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size 21020682
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