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IliyanGochev/whisper-large-v2-bg-peft
whisper-large-v2-bg-peft is a machine learning model from IliyanGochev. 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.
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From the Hugging Face model README
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
The following bitsandbytes quantization config was used during training:
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0
PEFT 0.5.0.dev0
bitsandbytes quantization config was used during training:
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
PEFT 0.5.0
PEFT 0.5.0.dev0
bitsandbytes quantization config was used during training:
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
PEFT 0.5.0
PEFT 0.5.0.dev0
bitsandbytes quantization config was used during training:
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
PEFT 0.5.0
PEFT 0.5.0.dev0