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Tom9000/TheProfessor-155b-GUFF-Q1-v02
TheProfessor-155b-GUFF-Q1-v02 is a text generation model from Tom9000. Use it when you need the model to write or continue text. The card lists the license as apache-2.0.
Update: 1.5bit quantization is now merged with the main branch of llama.cpp, so no need for dev branch to be cloned. Default dataset used for imatrix computation "wiki.train.raw" can be donwloaded from here: https://h…
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.gguf32.4 GB · 100%
From the Hugging Face model README
Update: 1.5bit quantization is now merged with the main branch of llama.cpp, so no need for dev branch to be cloned. Default dataset used for imatrix computation "wiki.train.raw" can be donwloaded from here: https://huggingface.co/datasets/ggml-org/ci
A test run of upcoming "1-bit" quantisation in llama.cpp on Eric's and AbacusAI's 155B model "TheProfessor": https://huggingface.co/abacusai/TheProfessor-155b
First run (v01) was a fail, not very coherent, so uploading only second attempt (v02). Second one seemed quite coherent, but it wasn't extensively tested.
As of of this writing, "IQ1_S" quantization is an open PR on the main branch, so to test it, dev branch would need to be cloned and compiled, instead of the main branch: https://github.com/ggerganov/llama.cpp/pull/5453
For reference, some size and perplexity comparison:
Size / PPL
TheProfessor-155b-Q1_S-v02.gguf 31G 9.24
TheProfessor-155b-Q4_K_M.gguf 87G 5.29
1bit quantization requires imatrix computed first. My imatrix is not really "State-Of-The-Art" by any means. There might be plenty of room for improvement, for anyone with better hardware to have a go, by trying one or all of the following:
git clone -b ik/iq1_s https://github.com/ggerganov/llama.cpp
./imatrix -m models/TheProfessor-155b-Q4_K_M.gguf -f datasets/wiki.train.raw -o models/TheProfessor-155b-v02.imatrix --chunks 100 -b 512
./quantize --imatrix models/TheProfessor-155b-v02.imatrix models/TheProfessor-155b/ggml-model-f16.gguf models/TheProfessor-155b-Q1_S-v02.gguf IQ1_S