Qwythos-9B v2 fixes LLM repetition loops
Empero AI has launched the v2 hygiene release of Qwythos-9B, an open-source, 9-billion parameter reasoning model built on an uncensored Qwen3.5 base. This update addresses common local LLM repetition and tool-calling issues by employing Final-Token Preference Optimization to eliminate decoding loops under greedy settings and restoring the native multi-token prediction head.
Local LLM hygiene updates like Qwythos-9B v2 are essential for resolving decoding loops and tool-calling issues that plague consumer-grade hardware deployments.
* **Final-Token Preference Optimization**: Eliminating decoding loops under greedy settings significantly improves long-form generation and interactive sessions.
* **Multi-Token Prediction**: Restoring the native multi-token head boosts inference performance and ensures reliable tool/function calling.
* **Deeply Uncensored Qwen3.5 Base**: Provides an unconstrained model suitable for developers seeking unfiltered reasoning.
DISCOVERED
1h ago
2026-07-12
PUBLISHED
1h ago
2026-07-12
RELEVANCE
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DIY Smart Code