Information
GPT4-X-Alpasta-30b working with Oobabooga's Text Generation Webui and KoboldAI.This is an attempt at improving Open Assistant's performance as an instruct while retaining its excellent prose. The merge consists of Chansung's GPT4-Alpaca Lora and Open Assistant's native fine-tune.
Update 05.27.2023
Updated the ggml quantizations to be compatible with the latest version of llamacpp (again).
What's included
GPTQ: 2 quantized versions. One quantized --true-sequential and act-order optimizations, and the other was quantized using --true-sequential --groupsize 128 optimizations.
GGML: 3 quantized versions. One quantized using q4_1, another was quantized using q5_0, and the last one was quantized using q5_1.
GPU/GPTQ Usage
To use with your GPU using GPTQ pick one of the .safetensors along with all of the .jsons and .model files.
Oobabooga: If you require further instruction, see here and here
KoboldAI: If you require further instruction, see here
CPU/GGML Usage
To use your CPU using GGML(Llamacpp) you only need the single .bin ggml file.
Oobabooga: If you require further instruction, see here
KoboldAI: If you require further instruction, see here
Benchmarks
--true-sequential --act-order
Wikitext2: 4.998758792877197
Ptb-New: 9.802155494689941
C4-New: 7.341384410858154
Note: This version does not use --groupsize 128, therefore evaluations are minimally higher. However, this version allows fitting the whole model at full context using only 24GB VRAM.
--true-sequential --groupsize 128
Wikitext2: 4.70257568359375
Ptb-New: 9.323467254638672
C4-New: 7.041860580444336
Note: This version uses --groupsize 128, resulting in better evaluations. However, it consumes more VRAM.
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