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--- |
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library_name: peft |
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license: cc-by-4.0 |
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datasets: |
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- iamshnoo/alpaca-cleaned-persian |
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language: |
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- fa |
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- en |
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metrics: |
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- accuracy |
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--- |
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This represents the PEFT weights only. The base model is LLaMA 2. Instruction finetuning was done using 4 bit QLoRA on a single A100 GPU with the PEFT config as given below. The dataset used for this instruction finetuning process is a translated version of the cleaned alpaca dataset (translated using NLLB-1.3B). |
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Do note that this model might have inferior performance on some language specific tasks compared to full finetuning or a different base model trained with more language specific data. |
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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: False |
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- load_in_4bit: True |
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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: nf4 |
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- bnb_4bit_use_double_quant: True |
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- bnb_4bit_compute_dtype: bfloat16 |
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### Framework versions |
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- PEFT 0.4.0 |
