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Complete work of the S-X quantization family: paper S-X8 v4.3 (7.50 bits per weight with FP16-level quality — perplexity within +0.2% of the unquantized model, 9× less perplexity loss than Q8_0, ~11–15% smaller files, and faster real-world decoding than Q8_0), specification of the .sx8v43 container, authorship declaration of the S-X quantization methodology, and sealed members in development (S-X6 v3, SX-FP4/NV_SX) and others. The decoder is portable by design: ALU-only, byte-aligned, no tensor-core dependency (validated on Blackwell SM120 and Maxwell GPUs).
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Title S-X Quantization Family — Complete Works (paper S-X8 v4.3, container spec, methodology, sealed members)
Complete work of the S-X quantization family: paper S-X8 v4.3 (7.50 bits per weight with FP16-level quality — perplexity within +0.2% of the unquantized model, 9× less perplexity loss than Q8_0, ~11–15% smaller files, and faster real-world decoding than Q8_0), specification of the .sx8v43 container, authorship declaration of the S-X quantization methodology, and sealed members in development (S-X6 v3, SX-FP4/NV_SX) and others. The decoder is portable by design: ALU-only, byte-aligned, no tensor-core dependency (validated on Blackwell SM120 and Maxwell GPUs).
Work type Article
Tags quantization, compresión de modelos, autoría, contenedor, authorship, research, artificial intelligence, cuda kernels, inteligencia artificial, kernels cuda, cuantización, model compression, s-x, container format, llm, investigación, machine learning, large language models
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Identifier 2608136715874
Entry date Aug 13, 2026, 4:13 PM UTC
License All rights reserved
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Author 100.00 %. Holder Martí Vidal Leandro. Date Aug 13, 2026.
Information available at https://www.safecreative.org/work/2608136715874-s-x-quantization-family-complete-works-paper-s-x8-v4-3-container-spec-methodology-sealed-members-