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Empero AI•July 9, 2026
Qwythos-9B
Open Source
multimodal
uncensored
reasoning
gguf
### TL;DR
Qwythos-9B-v2-GGUF is a quantized collection of the Qwythos-9B-v2 multimodal model, optimized for GGUF runtimes like llama.cpp and Ollama. This version specifically addresses looping behaviors found in the base model using Final-Token Preference Optimization (FTPO) while restoring the native multi-token prediction (MTP) head for improved performance.
Key Insights & Metrics
Pricing
Free
Cost structure
Version
2
Current release version
Hardware
At least 8GB of RAM or VRAM for processing and 6GB of free disk space to store the model file
Compute requirements
Category
Open Source
Licensing model
Region
Netherlands
Primary region
Key Features
- Looping/degeneration eliminated with 0% repetition rate
- Restored native multi-token prediction (MTP) head for speculative decoding
- Multimodal vision capabilities via Qwen3.5 architecture
- 1M-token long-context window using YaRN
- Intentionally uncensored reasoning model
- Optimized for GGUF runtimes including llama.cpp, Ollama, and LM Studio
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