{
  "script": [
    {
      "text": "Honestly, it's fair to say that local models are on the come up, but the utility depends entirely on which bastard variant you're actually running.",
      "character": "Rick Sanchez"
    },
    {
      "text": "W-wait, so there are like, different models? Are they all doing the same thing, or\u2014oh geez\u2014is it complicated?",
      "character": "Morty Smith"
    },
    {
      "text": "They range from tiny helpers up to the 31 billion parameter dense beast.",
      "character": "Rick Sanchez"
    },
    {
      "text": "But if they're so advanced, why does the doc say you should turn off that 'thinking model' thing? Sounds like a waste of CPU cycles.",
      "character": "Morty Smith"
    },
    {
      "text": "It burns tokens like hell, Morty. More importantly, the smaller E2B and E4B ones handle video or audio inputs.",
      "character": "Rick Sanchez"
    },
    {
      "text": "So, if I want it to understand my dog barking, I can't just use the one that's supposed to be the most powerful, right? Aw man.",
      "character": "Morty Smith"
    },
    {
      "text": "The E4B, at eight gigs quantized, handles multimodality, but the 31B model needs thirty-five gigs for text/image.",
      "character": "Rick Sanchez"
    },
    {
      "text": "That's... that's messed up how the specs are tied to what they actually *can* do, even if they look similar on paper.",
      "character": "Morty Smith"
    },
    {
      "text": "You gotta check the damn spec sheet; pick the variant that matches the input, or you just waste memory, Morty.",
      "character": "Rick Sanchez"
    },
    {
      "text": "I guess so, I guess you just have to pick the right damn tool for the job, even if it's smaller.",
      "character": "Morty Smith"
    }
  ]
}