---
language:
- pt
license: cc-by-sa-3.0
library_name: peft
datasets:
- Gustrd/dolly-15k-libretranslate-pt
base_model: VMware/open-llama-13b-open-instruct
---

# Cabra: A portuguese finetuned instruction Open-LLaMA

LoRA adapter created with the procedures detailed at the GitHub repository: https://github.com/gustrd/cabra .

This training was done at 2 epochs using one A4000 at Paperspace.

The GGML version was created with llama.cpp "convert-lora-to-ggml.py".

This LoRA adapter was created following the procedure 

---
library_name: peft
---
## Training procedure


The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- 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