What is everyone’s experiences so far with DPO trained versions of their favorite models? Been messing around with different models and my two new favorite models are actually just the DPO versions of my previous favorite models (causalLM 14b and openhermes 2.5 7b). Links below for the models in question.

CausalLM 14B-DPO-alpha - GGUF: https://huggingface.co/tastypear/CausalLM-14B-DPO-alpha-GGUF

NeuralHermes 2.5 Mistral 7B - GGUF: https://huggingface.co/TheBloke/NeuralHermes-2.5-Mistral-7B-GGUF

The former runs at 30 t/s for me with koboldcpp-rocm on a 6900 XT, and the latter at 15 t/s, both at Q6K. I don’t have a favorite between these two models, they seem to be better at different things and trade blows in all the logic + creative writing tasks I’ve tested them in, despite causalLM being a larger model. I’m looking forward to seeing what nousresearch/teknium and CausalLM are bringing next.

  • SomeOddCodeGuyB
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    11 months ago

    Wow, I’ve never seen an fp16 gguf before. Holy crap, I wish there were more of those out there; I’d love to get my hands on some for 70b models or the like. I didn’t realize unquantized gguf was an option