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Empero AI·Jun 19, 2026·v2·open source

Qwythos-9B

Qwythos-9B-Claude-Mythos-5-1M-GGUF is a 9-billion parameter reasoning model developed by Empero AI. It is post-trained on over 500 million tokens of high-quality Claude Mythos and Claude Fable traces, utilizing Empero AI's internal 'rethink' tool for chain-of-thought generation. This model outperforms the base Qwen3.5-9B model, achieving a +34 point improvement on the MMLU benchmark, +30 points on gsm8k-strict, and +19 points on gsm8k-flex. It supports native function calling as per the Qwen3.5 specification and offers a 1,048,576-token (1M) context window through YaRN rope-scaling. The model is available under the Apache-2.0 license and is compatible with various GGUF runtimes, including llama.cpp, Ollama, LM Studio, jan, and KoboldCpp.

ggufllama.cppquantizedqwen3.5reasoninguncensoredlong-context1M-contextfunction-callingmultimodalvisioncybersecuritybiomedicalagenticconversational
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overview

Qwythos-9B-Claude-Mythos-5-1M-GGUF is a 9-billion parameter reasoning model developed by Empero AI. It is post-trained on over 500 million tokens of high-quality Claude Mythos and Claude Fable traces, utilizing Empero AI's internal 'rethink' tool for chain-of-thought generation. This model outperforms the base Qwen3.5-9B model, achieving a +34 point improvement on the MMLU benchmark, +30 points on gsm8k-strict, and +19 points on gsm8k-flex. It supports native function calling as per the Qwen3.5 specification and offers a 1,048,576-token (1M) context window through YaRN rope-scaling. The model is available under the Apache-2.0 license and is compatible with various GGUF runtimes, including llama.cpp, Ollama, LM Studio, jan, and KoboldCpp.

key features
  • 019-billion parameter reasoning model
  • 02Post-trained on over 500 million tokens of high-quality Claude Mythos and Claude Fable traces
  • 03Outperforms base Qwen3.5-9B model on multiple benchmarks
  • 04Supports native function calling as per Qwen3.5 specification
  • 05Offers 1,048,576-token (1M) context window through YaRN rope-scaling
  • 06Available under Apache-2.0 license
  • 07Compatible with various GGUF runtimes, including llama.cpp, Ollama, LM Studio, jan, and KoboldCpp
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