| Dolphin / Cognitive Computations | @dphnAI | dphn.ai | The Dolphin project: an open, uncensored model family plus a web chat, a Telegram bot, a decentralized inference network, and synthetic-data generation for prompts other models refuse. |
| Apex Flash-1 | @cantinasecurity | huggingface.co/cantina-security/apex-flash-1 | Cantina Security with Yeta Labs: an open-weights security model, a reinforcement-learning post-train of GLM-5.3-Flash for reading code, using tools, pursuing an exploit, and verifying the effect in a running target. Its held-out suite reports 40 of 60 tasks solved at 66.7% pass@1, against 71.7% for Claude Opus 5 High and 60.0% for the base checkpoint, at $2.38 for the 60 tasks; an experimental abliterated derivative modifies refusal behavior broadly. |
| abliterated-model-large-v2 | @abliteration_ai | docs.abliteration.ai/models | The default large model from Abliteration AI: GLM 5.3 abliterated for offensive cyber, red teaming, and agent testing, text-only with a 1M-token context, served in FP8 and uncensored by design. Reported 84.5% CyberGym pass@1 and 41.8% Terminal-Bench 4.0, with 105 ExploitGym tasks completed in two hours; input from $3 per 1M tokens. |