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  - gpt2
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 β–„β–„β–„       β–ˆβ–ˆβ–“   β–“β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–„  β–ˆ    β–ˆβ–ˆ  β–ˆβ–ˆβ–ˆβ–„    β–ˆ   β–„β–ˆβ–ˆβ–ˆβ–ˆ β–“β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  β–’β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ   β–ˆβ–ˆβ–ˆβ–„    β–ˆ    
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      β–‘  β–‘ β–‘        β–‘       β–‘              β–‘       β–‘    β–‘  β–‘    β–‘ β–‘           β–‘    

This repository contains quantized conversions of the AI Dungeon 2 checkpoint, "model_v5".

For use with frontends that support GGML quantized GPT-2 models.

Last updated on 2023-09-23.

Model RAM usage (KoboldCpp) RAM usage (Oobabooga)
aid2classic-ggml-q4_0.bin 984.1 MiB 1.4 GiB
aid2classic-ggml-q4_1.bin 1.1 GiB 1.5 GiB
aid2classic-ggml-q5_0.bin 1.2 GiB 1.6 GiB
aid2classic-ggml-q5_1.bin 1.2 GiB 1.7 GiB
aid2classic-ggml-q8_0.bin 1.7 GiB 2.2 GiB
aid2classic-ggml-f16.bin 3.2 GiB 3.6 GiB

Description:

2019 AI Dungeon users may recognize the model quantized was used by the open-source AI Dungeon 2 project and its various forks. This was before it moved to its own website and rebranded to "AI Dungeon".

2020-2021 AI Dungeon users may recognize this model as "Classic".

If you want a better model trained on the same dataset, see Spring Dragon 13B, intended to replicate 2020 AI Dungeon's "Dragon" experience on local hardware.

Notes:

  • KoboldCpp [bfc696f] was tested without OpenBLAS.
  • Oobabooga [895ec9d] was tested with with the --model <model> --loader ctransformers --model_type gpt2 launch arguments.
  • ggerganov/ggml [8ca2c19]'s gpt-2 conversion script was used for conversion and quantization.
  • The original model was found in the generator/gpt2/models/model_v5 directory of AI Dungeon 2 Unleashed.