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PreprintCC BY 4.0Zenodo

LLM compression measurements: lossless and lossy compression on top of existing KV-cache and weight formats (RTX 3090, llama.cpp)

Abstract

Measurements of how much compression can be added on top of the KV-cache formats (F16, Q8_0, Q4_0) and weight formats (BF16, Q8_0, Q4_K_M) used by llama.cpp, on one RTX 3090. A measurement study with mostly negative results; no new method is proposed. Includes the paper, all measurement records (R1-R87), llama.cpp patches, scripts and result summaries. All speed windows were shared with desktop applications; server-GPU rows are analytic projections.

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BibTeX
@misc{neoxider2026compression,
  title = {{LLM compression measurements: lossless and lossy compression on top of existing KV-cache and weight formats (RTX 3090, llama.cpp)}},
  author = {NeoXider},
  howpublished = {Zenodo},
  year = {2026},
  month = oct,
  doi = {10.5281/zenodo.23578725},
  url = {https://zenodo.org/records/23578725},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - LLM compression measurements: lossless and lossy compression on top of existing KV-cache and weight formats (RTX 3090, llama.cpp)
AU  - NeoXider
PY  - 2026
DA  - 2026/10/22
PB  - Zenodo
DO  - 10.5281/zenodo.23578725
UR  - https://zenodo.org/records/23578725
AB  - Measurements of how much compression can be added on top of the KV-cache formats (F16, Q8_0, Q4_0) and weight formats (BF16, Q8_0, Q4_K_M) used by llama.cpp, on one RTX 3090. A measurement study with mostly negative results; no new method is proposed. Includes the paper, all measurement records (R1-R87), llama.cpp patches, scripts and result summaries. All speed windows were shared with desktop applications; server-GPU rows are analytic projections.
ER  -