A few people here tried the Goliath-120B model I released a while back, and looks like TheBloke has released the quantized versions now. So far, the reception has been largely positive.

https://huggingface.co/TheBloke/goliath-120b-GPTQ

https://huggingface.co/TheBloke/goliath-120b-GGUF

https://huggingface.co/TheBloke/goliath-120b-AWQ

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The fact that the model turned out good is completely unexpected. Every LM researcher I’ve spoken to about this in the past few days has been completely baffled. The plan moving forward, in my opinion, is to finetune this model (preferably a full finetune) so that the stitched layers get to know each other better. Hopefully I can find the compute to do that soon :D

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On a related note, I’ve been working on LLM-Shearing lately, which would essentially enable us to shear down a transformer down to much smaller sizes, while preserving accuracy. The reason goliath-120b came to be was an experiment in moving at the opposite direction of shearing. I’m now wondering if we can shear a finetuned Goliath-120B to around ~70B again and end up with a much better 70B model than the existing ones. This would of course be prohibitively expensive, as we’d need to do continued pre-train after the shearing/pruning process. A more likely approach, I believe, is shearing Mistral-7B to ~1.3B and perform continued pretrain on about 100B tokens.

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If anyone has suggestions, please let me know. Cheers!

  • audioen@alien.topBEnglish
    1·
    1 year ago

    I tested this model a little bit. It sometimes writes nonsense, like bad words, but I guess that’s to be expected given that we have kind of copypasted and bunched couple of closely related models together. Not too surprising if it sometimes predicts badly.

    However, I liked the writing quality a lot. Even after a simple trial test run, it is clearly much better than the base tollama2-70b, and by a lot. The base model is kind of tightlipped and extremely conservative/boring and it is hard to coax it to write creative output. However, it might actually be regression related to either of the base models it is based on.