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Qwen-27B reaches 105k context on 16GB NVIDIA GPUs with KS quantization

A new quantization of Qwen-27B compresses the model to 14.1GB while maintaining performance comparable to larger variants, enabling 105k context windows on consumer NVIDIA GPUs.

1 min read

A new quantization of Qwen-27B has been released for ik_llama.cpp, a community fork of llama.cpp that implements experimental quantization schemes unavailable in the mainstream project. The model, compressed to 14.1GB, fits within the constraints of 16GB VRAM NVIDIA GPUs while supporting a 105k co...

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Method & sources
Source type
Primary publication (lab/vendor blog) — our analysis + implication
Source link
r/localllama
Published
UTC
Byline
By the gotcontext.ai team (editorial standards)
Correction?
corrections@gotcontext.ai
Qwen-27B reaches 105k context on 16GB NVIDIA GPUs with KS quantization — gotcontext.ai