| 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 |