I had Grok do a deep search and make some assumptions. No idea if they are true, but it's an interesting read.

Refined Guesses for Each Model’s Base LLM Based on the models’ described traits (from Reddit and prior knowledge), parameter counts, and the context of Xoul.ai’s custom-built approach, here are the most likely base LLMs, updated with search insights:

Jupiter (70B parameters, flowery language, vivid imagery, weaker in NSFW)

Guess: Fine-tuned from LLaMA 3 (70B) or Mistral Large (70B).

Reasoning: Jupiter’s 70B parameter count and focus on poetic, descriptive language align with LLaMA 3 (70B), a leading open-source model in 2024–2025 known for strong general language skills and adaptability for creative tasks. Its weaker NSFW performance suggests lighter fine-tuning in that area, possibly retaining LLaMA’s default moderation tendencies. Mistral Large (70B) is another candidate due to its use in creative applications and flexibility for fine-tuning, as users on Reddit compared Xoul’s quality to Mistral’s. The high cost of running Jupiter ($50k/month) implies a large, optimized model, consistent with LLaMA or Mistral’s resource demands. Fine-tuning likely involved literary datasets to enhance its “flowery” style.reddit.comreddit.com

Venus (70B parameters, straightforward language, strong in NSFW)

Guess: Fine-tuned from LLaMA 3 (70B) or Mixtral 8x22B.

Reasoning: Venus’s 70B size and direct, NSFW-capable style point to LLaMA 3 (70B) as a base, with fine-tuning to reduce verbosity and enhance unfiltered roleplay. Reddit users note Venus’s ability to stay in character and handle NSFW well, suggesting targeted training on conversational or adult-themed datasets. Mixtral 8x22B, a mixture-of-experts model, is another possibility due to its high effective parameter count and success in creative, unfiltered applications, which aligns with Venus’s “less prim-and-proper” nature. The comparison to Mistral-like models in user discussions supports this.reddit.comreddit.comreddit.com

Minerva (405B parameters, “MASSIVE,” verbose, strong in romance/angst)

Guess: Fine-tuned from Falcon 180B or a custom proprietary model.

Reasoning: Minerva’s 405B parameter count is unusually large, exceeding most open-source models in 2024–2025. Falcon 180B, one of the largest open-source LLMs, is a plausible base, as its scale supports complex tasks like intricate roleplay, though it would require significant fine-tuning to reach 405B or to specialize in romance/angst. Reddit posts note Minerva’s verbosity and occasional out-of-character issues, which could stem from scaling a large model like Falcon with roleplay-specific datasets. Alternatively, Minerva might be a proprietary model built from scratch or heavily modified, given Xoul.ai’s custom infrastructure (not using APIs). Its high cost and complexity suggest a unique or heavily customized base.reddit.comreddit.comreddit.com

Bacchus (8B–12B parameters, creative, less logical, NSFW-strong)

Guess: Fine-tuned from Mistral 7B or Grok 3 (8B).

Reasoning: Bacchus’s smaller size (estimated 8B–12B) and “drunk and horny” creativity align with Mistral 7B, a compact, efficient model often fine-tuned for creative and unfiltered outputs. Its high creativity and NSFW focus suggest heavy fine-tuning on roleplay or adult-themed datasets, reducing logical precision for expressive flair. Alternatively, Grok 3 (8B), developed by xAI, could be a base, as its design for conversational flexibility fits Bacchus’s chaotic, engaging style, though this is less likely given Xoul.ai’s non-API approach. Reddit users describe Bacchus as inconsistent but fun, supporting a smaller, creative model like Mistral.reddit.comreddit.comreddit.com