GGUF of a merged ausboss/llama2-13b-supercot-loras2 with base Llama 2 13B. It is currently only quantised to Q5_K_M as this is the smallest size with comparable accuracy to 8bit (almost lossless). I have a fp16 GGUF and will probably quant to 8bit and 4bit GGUF soon.
Ausboss' original model card with the LoRA training info:
Training procedure
The following bitsandbytes quantization config was used during training:
quant_method: bitsandbytes
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: nf4
bnb_4bit_use_double_quant: True
bnb_4bit_compute_dtype: bfloat16
Framework versions
PEFT 0.6.0.dev0