mwz
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UrduOPT-2.7b-lora

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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 0.5.0.dev0

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Inference API

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Model tree for mwz/UrduOPT-2.7b-lora

Base model

facebook/opt-2.7b

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this model

Dataset used to train mwz/UrduOPT-2.7b-lora