LinkEmpero AIResource
Community fine-tunes of 27B-class models often discard MTP heads or vision layers to simplify training runs. Qwythos demonstrates how to retain all architectural features, delivering an uncompromised base for long-context agentic operations and shell interactions.
Empero AI explicitly focuses on terminal workflows and tool execution. The steep perplexity drop in shell trajectories and the inclusion of native tool-calling formats allow direct integration into inference engines such as vLLM and SGLang without custom wrappers. Because the checkpoint is intentionally uncensored for cybersecurity and biomedical queries, deployment teams must manage safety and alignment boundaries at the application level.
Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
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Link:kodee
Empero has released Qwythos-27B-v1, an open-weights bf16 reasoning model published under the Apache-2.0 licence. Sized up from Qwythos-9B on a Qwen3.5-27B base, it preserves native function calling, multimodal vision, MTP, and a 1M context window.
Link:Qwen
The Qwen team has released Qwen3.8-27B, a compact, dense vision-language model under the Apache-2.0 licence. The 27-billion-parameter model pairs Gated DeltaNet with conventional gated attention, handles images and videos natively, and introduces flexible reasoning controls.
Link:empero.org
Empero, an independent AI research lab based in Germany, develops efficient open-weight language models and developer tools for local hardware. Releases include Qwen3.8 distillations, the Qwythos model family, and the Abacus terminal coding agent.
Link:Unsloth AI
Unsloth AI has published Qwen3.6-27B-MTP-GGUF, providing quantized versions of the first open-weight model in the Qwen3.6 family. The 27-billion parameter multimodal model features Multi-Token Prediction (MTP) for accelerated inference alongside upgrades to agentic coding and tool calling.
Link:PocketAiHub
PocketAiHub has released an unofficial MLX derivative family of Qwen3.8-27B with suppressed refusal behaviour ('abliteration'). The consolidated repository provides quantized builds ranging from experimental 2-bit AWQ to full BF16 optimised for Apple Silicon.
Link:Apodex AI
Apodex AI has released Apodex-1.1-mini under the Apache-2.0 licence on Hugging Face. Based on the qwen3_5_moe architecture, the model is designed for long-horizon research and agentic workflows with native tool execution.
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