Tooling
Qwen 3.6 27B quantized model runs at 40 tok/s on 16GB consumer GPU
A community-optimized quantization of Alibaba's Qwen 3.6 27B model achieves 40 tokens/second throughput on a single RTX 5060 Ti with 16GB VRAM, reducing model size to 15.4GB while maintaining minimal perplexity
1 min read
Sourcer/localllama
A community quantization of Alibaba's Qwen 3.6 27B model now runs at 40 tokens per second on a single RTX 5060 Ti with 16GB VRAM. The optimization, shared on r/LocalLLaMA, uses a pure quantization method to compress the model to 15.4GB while preserving inference quality.
The quantized Q4_K_M varian...
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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