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---
library_name: peft
datasets:
- squad
language:
- en
tags:
- llms
- falcon-7b
- open source llms
- fine tuning llms
- QLoRA
- PEFT
- LoRA
---
Open source falcon 7b large language model fine tuned on SQuAD dataset for question and answering.
QLoRA technique used for fine tuning the model on consumer grade GPU
SFTTrainer is also used.
Dataset used: SQuAD
Dataset Size: 87278
Training Steps: 500
## Training procedure
The following `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: nf4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float16
The following `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: nf4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float16
### Framework versions
- PEFT 0.4.0.dev0
- PEFT 0.4.0.dev0 |