---
language:
- en
license: apache-2.0
library_name: peft
base_model: tiiuae/falcon-rw-1b
datasets:
- MichaelAI23/hotel_requests
---
## Training procedure

This is a Falcon 1B model that was finetuned on the MichaelAI23/hotel_requests dataset.
LoRA was used for the training in combination with 8-bit quantization.

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