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blip2-opt-2.7b-random_image-VQA-adapters
Deepsmear1/blip2-opt-2.7b-random_image-VQA-adapters
blip2-opt-2.7b-random_image-VQA-adapters is a machine learning model from Deepsmear1. 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: - quantmethod: bitsandbytes - loadin8bit: True - loadin4bit: False - llmint8threshold: 6.0 - llmint8skipmodules: None - llmint8enablefp32cpuoffl…
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At a glance
- Library
- peft
- Access
- Public
- Created
- Aug 23, 2023
- Updated
- Aug 23, 2023
- SHA
- f5d8f9f4
Model card
From the Hugging Face model README
Training procedure
The following bitsandbytes quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: True
- load_in_4bit: False
- 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: fp4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float32
Framework versions
- PEFT 0.6.0.dev0
- Library
- peft
- Created
- Aug 23, 2023
- Updated
- Aug 23, 2023