[GH]score: 0.39vLLM adds support for MXFP4-packed Engram embedding tablesNovember 11, 2026The vLLM project merged support for MXFP4-packed Engram embedding tables, improving how the runtime handles specific embedding formats.HOW THIS AFFECTS YOU●builderThis enables more efficient memory usage when running models with these specific embedding tables.●researcherYou can use these packed formats to test quantized embedding performance in inference runtimes.read original ↗github.comshare this on XOne AI story a day, in plain English. The number that matters and what it means for you.FOLLOW @hackobar_DAILY DIGEST_all newsbuilderresearcherfounderinvestordesignerpolicyhealthsubscribe →you don't check 9 sources. we do. one email every morning, read in 2 min. free. unsubscribe anytime. privacy← back to feed