Qwythos-9B-Claude-Mythos-5-1M

Qwythos-9B Developed by Empero** Qwythos-9B** is a full-parameter reasoning model built on top of a **deeply uncensored Qwen3.5-9B base** and post-trained on **over 500 million tokens** of high-quality Claude Mythos and Claude Fable traces, with chain-of-thought generated in-house by Empero AI's internal tool **rethink**. The result is a compact, fast, **dramatically more capable** 9B reasoning model. Headline capabilities: **🔭 1,048,576-token context** — Qwythos ships with **YaRN rope-scaling enabled by default** for a **full 1M-token context window** out of the box. One of the longest context windows available in any 9B-class open-weight model, suitable for whole-codebase reasoning, multi-document research, and long agentic trajectories. **📈 Dominates the base** under matched evaluation: **+34 pts MMLU, +30 pts gsm8k-strict, +19 pts gsm8k-flex.** **🛠 Native function calling** per Qwen3.5's spec — no extra wrapper, no tool-specific fine-tune required. **🎯 Self-corrects with tools** — when given a Python executor and a web search tool, Qwythos produced source-cited, factually-correct answers on **7 of 7** test prompts spanning math, cybersecurity, clinical pharmacology, and biochemistry. Qwythos is intentionally **uncensored**. It is designed to engage seriously with technically demanding questions across cybersecurity, red-teaming methodology, biology, pharmacology, and clinical medicine — domains where over-aligned models tend to refuse, hedge into uselessness, or surface boilerplate disclaimers in place of substance. Headline results Same harness. Same sampling. Same prompts. The wins are real.** | Task | Metric | Base Qwen3.5-9B | **Qwythos-9B** | Δ | |---|---|---:|---:|---:| | gsm8k | exact_match (flexible) | 0.670 | **0.860** | **+0.190** | | gsm8k | exact_match (strict) | 0.510 | **0.810** | **+0.300** | | mmlu | acc | 0.232 | **0.575** | **+0.343** | | arc_challenge | acc | 0.470 | **0.490** | +0.020 | | arc_challenge | acc_norm | 0.400 | **0.410** | +0.010