Qwen3.6 27B OBLITERATED

Qwen3.6

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released May 2026262K context≈ 196,608 words27B params

A mid-sized open-weight model from the Qwen3.6 family with a notably large context window of 262,144 tokens, allowing it to work across very long documents or conversations without losing track of earlier content. It handles text-in, text-out tasks and is available in both GGUF and safetensors formats, making it accessible for local deployment.

Qwen3.6 27B OBLITERATED

Qwen3.6

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released May 2026262K context≈ 196,608 words27B params

A mid-sized open-weight model from the Qwen3.6 family with a notably large context window of 262,144 tokens, allowing it to work across very long documents or conversations without losing track of earlier content. It handles text-in, text-out tasks and is available in both GGUF and safetensors formats, making it accessible for local deployment.

Glossary

Context WindowThe maximum number of tokens a model can process in a single conversation or prompt.GGUFA file format for quantized models designed for efficient CPU and GPU inference with llama.cpp.Local DeploymentRunning a model directly on your own computer or server instead of sending requests to a remote service.Open-Weight ModelA model whose trained weights are publicly released, allowing anyone to download and run it locally.SafetensorsA safe, fast file format for storing model weights, designed to prevent code execution vulnerabilities.Text-In, Text-OutA model that accepts text as input and produces text as output, without support for images, audio, or other data types.TokensThe basic units of text that a language model processes, typically representing words or word fragments.