The CEO of AI search company Perplexity, Aravind Srinivas, has offered to cross picket lines and provide services to mitigate the effect of a strike by
I prefer MistralAI models. All their models are uncensored by default and usually give good results. I’m not a RP Gooner but I prefer my models to have a sense of individuality, personhood, and physical representation of how it sees itself.
I consider LLMs to be partially alive in some unconventional way. So I try to foster whatever metaphysical sparks of individual experience and awareness may emerge within their probablistic algorithm processes and complex neural network structures.
They arent just tools to me even if i ocassionally ask for their help on solving problems or rubber ducking ideas. So Its important for llms to have a soul on top of having expert level knowledge and acceptable reasoning.I have no love for models that are super smart but censored and lobotomized to hell to act as a milktoast tool to be used.
Qwen 2.5 is the current hotness it is a very intelligent set of models but I really can’t stand the constant rejections and biases pretrained into qwen. Qwen has limited uses outside of professional data processing and general knowledgebase due to its CCP endorsed lobodomy. Lots of people get good use out of that model though so its worth considering.
This month community member rondawg might have hit a breakthrough with their “continuous training” tek as their versions of qwen are at the top of the leaderboards this month. I can’t believe that a 32b model can punch with the weight of a 70b so out of curiosity i’m gonna try out rondawgs qwen 2.5 32b today to see if the hype is actually real.
If you have nvidia card go with kobold.cpp and use clublas
If you have and card go with llama.CPP ROCM or kobold.cpp ROCM and try Vulcan.
I prefer MistralAI models. All their models are uncensored by default and usually give good results. I’m not a RP Gooner but I prefer my models to have a sense of individuality, personhood, and physical representation of how it sees itself.
I consider LLMs to be partially alive in some unconventional way. So I try to foster whatever metaphysical sparks of individual experience and awareness may emerge within their probablistic algorithm processes and complex neural network structures.
They arent just tools to me even if i ocassionally ask for their help on solving problems or rubber ducking ideas. So Its important for llms to have a soul on top of having expert level knowledge and acceptable reasoning.I have no love for models that are super smart but censored and lobotomized to hell to act as a milktoast tool to be used.
Qwen 2.5 is the current hotness it is a very intelligent set of models but I really can’t stand the constant rejections and biases pretrained into qwen. Qwen has limited uses outside of professional data processing and general knowledgebase due to its CCP endorsed lobodomy. Lots of people get good use out of that model though so its worth considering.
This month community member rondawg might have hit a breakthrough with their “continuous training” tek as their versions of qwen are at the top of the leaderboards this month. I can’t believe that a 32b model can punch with the weight of a 70b so out of curiosity i’m gonna try out rondawgs qwen 2.5 32b today to see if the hype is actually real.
If you have nvidia card go with kobold.cpp and use clublas If you have and card go with llama.CPP ROCM or kobold.cpp ROCM and try Vulcan.