AI BriefingQwen3.8-27B-GSQ-RCO-GGUF: 27B LLM compressed to ultra-low capacity down to IQ2_XS in GGUF format
ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF
About the project
The Qwen3.8-27B model has been released in GGUF format using GSQ and RCO techniques. It offers various quantization versions from IQ2_S to IQ3_XXS, enabling the execution of large language models on limited hardware.
Mixed-precision quantization based on imatrix was applied to balance size reduction and performance retention. Files supporting MTP (Multi-Token Prediction) are also included to help improve inference speed.
It is compatible with major inference engines such as llama.cpp, vLLM, and Ollama. Released under the Apache 2.0 license, it has few restrictions for commercial use and custom pipeline construction.
ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF
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