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TheBloke/GPT4All-13B-snoozy-GPTQ.GPT4All-13B-snoozy-GPTQ.GPTQ parameters on the right: Bits = 4, Groupsize = 128, model_type = Llamamain branch - the default one - you will find GPT4ALL-13B-GPTQ-4bit-128g.compat.no-act-order.safetensors--act-order parameter. It may have slightly lower inference quality compared to the other file, but is guaranteed to work on all versions of GPTQ-for-LLaMa and text-generation-webui.GPT4ALL-13B-GPTQ-4bit-128g.compat.no-act-order.safetensors
CUDA_VISIBLE_DEVICES=0 python3 llama.py GPT4All-13B-snoozy c4 --wbits 4 --true-sequential --groupsize 128 --save_safetensors GPT4ALL-13B-GPTQ-4bit-128g.compat.no-act-order.safetensorsnomic-ai/gpt4all-j-prompt-generations using revision=v1.3-groovy Model BoolQ PIQA HellaSwag WinoGrande ARC-e ARC-c OBQA
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GPT4All-J 6B v1.0 73.4 74.8 63.4 64.7 54.9 36.0 40.2
GPT4All-J v1.1-breezy 74.0 75.1 63.2 63.6 55.4 34.9 38.4
GPT4All-J v1.2-jazzy 74.8 74.9 63.6 63.8 56.6 35.3 41.0
GPT4All-J v1.3-groovy 73.6 74.3 63.8 63.5 57.7 35.0 38.8
GPT4All-J Lora 6B 68.6 75.8 66.2 63.5 56.4 35.7 40.2
GPT4All LLaMa Lora 7B 73.1 77.6 72.1 67.8 51.1 40.4 40.2
GPT4All 13B snoozy *83.3* 79.2 75.0 *71.3* 60.9 44.2 43.4
Dolly 6B 68.8 77.3 67.6 63.9 62.9 38.7 41.2
Dolly 12B 56.7 75.4 71.0 62.2 *64.6* 38.5 40.4
Alpaca 7B 73.9 77.2 73.9 66.1 59.8 43.3 43.4
Alpaca Lora 7B 74.3 *79.3* 74.0 68.8 56.6 43.9 42.6
GPT-J 6B 65.4 76.2 66.2 64.1 62.2 36.6 38.2
LLama 7B 73.1 77.4 73.0 66.9 52.5 41.4 42.4
LLama 13B 68.5 79.1 *76.2* 70.1 60.0 *44.6* 42.2
Pythia 6.9B 63.5 76.3 64.0 61.1 61.3 35.2 37.2
Pythia 12B 67.7 76.6 67.3 63.8 63.9 34.8 38.0
Vicuña T5 81.5 64.6 46.3 61.8 49.3 33.3 39.4
Vicuña 13B 81.5 76.8 73.3 66.7 57.4 42.7 43.6
Stable Vicuña RLHF 82.3 78.6 74.1 70.9 61.0 43.5 *44.4*
StableLM Tuned 62.5 71.2 53.6 54.8 52.4 31.1 33.4
StableLM Base 60.1 67.4 41.2 50.1 44.9 27.0 32.0