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README.md
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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 0.6.0.dev0
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title: MarketMail AI Space
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emoji: 📉
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colorFrom: blue
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colorTo: yellow
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sdk: gradio
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sdk_version: 3.27.0
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app_file: app.py
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pinned: false
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license: openrail
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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