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
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Base model
VMware/open-llama-13b-open-instruct