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Empero AIJune 19, 2026

Qwythos-9B

Open Source
gguf
llama.cpp
quantized
qwen3.5
reasoning
uncensored
long-context
1M-context
function-calling
multimodal
vision
cybersecurity
biomedical
agentic
conversational

Explore Qwythos-9B

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### TL;DR

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 Insights & Metrics

Pricing
Free
Cost structure
Version
2
Current release version
Hardware
~5.63 GB ROM, 8 GB RAM, 8 GB VRAM, and at least an RTX 3060 or Apple M-series chip
Compute requirements
Category
Open Source
Licensing model
Region
Germany
Primary region

Key Features

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

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