Qwen3.6 27B OTQ GGUF OpenTQ TurboQuant dynamic compatible GGUFs for Qwen/Qwen3.6 27B . This is the stock llama.cpp release track. OpenTQ chooses the tensor level allocation policy, but the files themselves use standard GGUF tensor types ( Q3 K M , Q4 K M , Q5 K , Q6 K , Q8 0 , F16 ). No custom OpenTQ runtime is required for these GGUF files. The Hugging Face pipeline tag follows the official Qwen3.6 27B card ( image text to text ). These GGUF artifacts are validated here for local text inference with stock llama.cpp ; vision tensors are not part of this text focused release track. Why This Release Exists These builds target MacBook class Apple Silicon where wall clock time matters, especially with long prompts, large system messages and agent/tool context. The goal is not to publish another uniform quant; it is to provide a stock compatible GGUF family where OpenTQ spends precision on the tensors that matter more for local inference. What Is OpenTQ? OpenTQ is an open quantization toolchain for TurboQuant style low bit model releases. For this GGUF track, OpenTQ does not introduce a custom file format: it audits the model tensor map, assigns standard GGUF tensor types per tensor fam…
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