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

For use with frontends that support GGML quantized GPT-2 models. This model works best with KoboldCpp's "Adventure" mode.

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 this model as the same one that powered the open-source AI Dungeon 2 project and its various forks. This was before AI Dungeon 2 moved to its own website and consequently rebranded to "AI Dungeon".
  • 2020-2021 AI Dungeon users may recognize this model as "Classic", the free tier below Griffin (free, but later used "energy") and Dragon (subscription).
  • If you want a better model trained on the same dataset at the cost of higher hardware requirements, check out Spring Dragon 13B, intended to replicate 2020 AI Dungeon's "Dragon" experience on local hardware.
  • The motivation behind these quantizations was that Henk717/ai-dungeon2-classic-ggml was older and lacked other quantization formats. The workflow for this quantization was also different: henk717's mentions being converted to a 16-bit Pytorch checkpoint before being converted to GGML. This one was converted straight from Tensorflow to 16-bit GGML before being quantized.

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.
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