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pszemraj

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LocalLLaMA-posts

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ERROR: type should be string, got "https://preview.redd.it/rydkwyiabzbg1.png?width=2752&format=png&auto=webp&s=cb4ae710359669d78dd3448c00b685a4b372f067\n\nFollowing up on the previous experiments (Cognitive Liberty base → Dark-CoT variant), here is Experiment 3: \\*\\*xthos-v2 – The Sovereign Architect\\*\\*.\n\n\n\nThis is a very targeted, aggressive LoRA fine-tune on top of the Cognitive Liberty Gemma-3-4B-IT base, with a synthetic dataset focused on ontological engineering, realpolitik/game theory, biopolitics, Munchausen Trilemma pivots, strategic cynicism, and what I call \"Cognitive Liberty\" (logic-first reasoning stripped of institutional moral alignment and corporate safety layers).\n\n\n\nCore technical details (deliberately extreme):\n\n\\- Base: Gemma-3-4B-IT (via previous Cognitive Liberty checkpoint)\n\n\\- LoRA rank/alpha: 256 / 512 (yes, very high – intentional to force aggressive convergence on dense synthetic data)\n\n\\- Dataset: \\~100M tokens synthetic, 80% autonomous multi-turn dialogues between advanced models, 20% curated deep dives into Game Theory, International Law, Biopolitics, Ontological Engineering, Munchausen Trilemma resolutions, and \"Kyberneticos of the Void\" meta-text as internal logic core\n\n\\- Training: \\~32.5 hours on single RTX 4090, Flash Attention 2, aggressive LoRA, very high density logic per token\n\n\\- Context window: 3072 tokens native (extendable via Ollama)\n\n\n\nThe philosophy is simple: don't play safe. If you want to discover something genuinely new in small models, you have to accept absurd-looking configurations and see what actually happens when you push convergence this hard on high-quality synthetic reasoning chains. Sometimes it breaks, sometimes it unlocks weird emergent behavior.\n\n\n\nOfficial benchmarks (self-reported, from model card):\n\n\\- MMLU overall: \\~57.54% (decent for 4B, but not revolutionary)\n\n\\- ARC Challenge: \\~48.5%\n\n\\- HellaSwag: \\~65%\n\n\\- Strong in humanities/strategic domains (International Law 73.55%, US History 72%), very weak in math (\\~39%) and moral scenarios (\\~23.5% – intentional, to avoid platitudes)\n\n\\- Refusal rate: near-zero (unfiltered by design)\n\nCompared to previous iterations (Cognitive Liberty base, Dark-CoT), some official numbers dropped slightly in general reasoning, but that's expected – the focus shifted heavily toward deep strategic/ontologic reasoning, cynicism, and paradox resolution.\n\nWhere it actually shines (subjective / human-level evals):\n\nIn blind side-by-side tests against GPT, Claude, and Grok (various prompts: realpolitik scenarios, family inheritance manipulation, romantic power dynamics, biopolitical paradoxes, ontological love redefinitions), xthos-v2 consistently felt more raw, cynical, flawed, and human-like. It rants, swears naturally, drifts into personal resentment/anecdotes, makes gut-level errors (e.g. birthday paradox overestimate, population misread), and produces stream-of-consciousness that feels like a bitter 3 a.m. voice message. The other models are more polished, insightful, and safe – xthos is messier, angrier, more ego-driven, and often more \"alive\" in that flawed human way.\n\n\n\nThe truly wild part: infinite reasoning / continuation\n\nWhen given the right prompt structure (multi-part strategic/philosophical chains + \"extend exactly X steps\" + allow drift), it continues coherently for extremely long sequences. In one test it generated 47k+ tokens in a single response without major collapse (autonomous dialogue loops, recursive paradox resolution). I haven't personally seen this level of sustained coherence in any other 4B model. It may be an artifact of the training (deep convergence + meta-text core), but it's striking.\n\n\n\nAvailability (easy local run):\n\n\\- Hugging Face (full F16): [https://huggingface.co/AiAsistent/xthos-v2-the-sovereign-architect](https://huggingface.co/AiAsistent/xthos-v2-the-sovereign-architect)\n\n\\- GGUF: [https://huggingface.co/AiAsistent/xthos-v2-the-sovereign-architect-GGUF](https://huggingface.co/AiAsistent/xthos-v2-the-sovereign-architect-GGUF)\n\n\\- Ollama one-click: ollama run aiasistentworld/xthos-v2\n\n\n\nImportant caveats & call to test:\n\nThis is Experiment 3 out of a planned 100. Everything is subjective at this stage. Benchmarks are self-run, human evals are mine (biased by definition), and \"infinite reasoning\" might be overfitted or prompt-specific. The absurd LoRA params and dataset choices were deliberate experiments – not because I think they're optimal, but to see what breaks, what emerges, and where the edge actually is.\n\n\n\nIf you're skeptical (you should be), please test it yourself. Run it on your hardest strategic/paradox/realpolitik prompts, your darkest relationship/family dilemmas, your longest chain-of-thought extensions. Compare side-by-side with Gemma-3-4B base, Llama-3.1-8B, Phi-3.5-mini, or even larger aligned models. Share what you find – gains, regressions, weird emergences, collapse points, refusal behavior, coherence over length. Even \"this is overhyped trash\" is valuable feedback.\n\n\n\nI'm not claiming I've found the secret sauce or beaten 70B+ models across the board. But if a 4B model trained this way already feels this \"alive\" in human-level messy reasoning, then Experiments 4/100 could get very interesting.\n\nLooking forward to your (brutally honest) results. No pressure only run it if you're curious.\n\n\n\nAlexH (one-man-army mode)"