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PrismML Squeezes Qwen3.8 27B Into 5.9 GB With 98% Performance Retained
PrismML's ternary-quantized 27B model retains 98.2% of full-precision Qwen3.8 27B performance in a 5.9GB footprint, hitting 143 tokens/sec on an RTX 5090.
Source
PrismML
Published
Author
AlphaSignal Newsroom
Read
1 min read
PrismML's ternary-quantized 27B model retains 98.2% of full-precision Qwen3.8 27B performance in a 5.9GB footprint, hitting 143 tokens/sec on an RTX 5090.
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