Datasets:

Rohithreddybc
/

kv-cache-compression-mbe

license: cc-by-4.0
language:
  - en
tags:
  - kv-cache
  - kv-cache-compression
  - llm-inference
  - inference-efficiency
  - efficient-inference
  - long-context
  - quantization
  - kv-cache-quantization
  - kv-cache-eviction
  - benchmark
  - leaderboard
  - evaluation-protocol
  - large-language-models
  - transformers
task_categories:
  - text-generation
pretty_name: KV Cache Compression Benchmark — Matched-Budget Evaluation (MBE)
size_categories:
  - n<1K
configs:
  - config_name: manifest
    data_files: mbe_manifest.json
  - config_name: results
    data_files: cards/*.json

Matched-Budget Evaluation (MBE) — KV Cache Compression

A standardized reporting protocol for KV cache compression in LLM inference. MBE is not a new task benchmark; it is a thin reporting layer that fixes which models, tasks, and budgets results are reported at, so that numbers from different papers become comparable.

Manifest (mbe_manifest.json): the frozen evaluation specification — model suite, task suite (consuming existing benchmarks: LongBench, RULER, SCBench, GSM8K, IFEval), the fixed KV-budget ladder (50 / 25 / 12.5 / 6.25 %), and the required system metrics. Evaluate at these exact settings so results line up.
Results (cards/*.json): submitted KV Compression Cards — one method × one model, produced by the open harness under matched budgets.

Why

Published KV cache compression results are not comparable (different models, budgets, tasks, system metrics). MBE fixes the axes. See the companion survey and harness:

Harness / protocol: https://github.com/rohithreddybc/kv-cache-compression-mbe
Survey: "Breaking the Memory Wall: A Survey of Key-Value (KV) Cache Compression for Efficient Large Language Model (LLM) Inference" (Artificial Intelligence Review, under review).

How to contribute a result

Run the harness (run_mbe.py) on the manifest's model + budget ladder, then submit your card JSON via PR to the GitHub repo or as a dataset PR here.

Citation

See CITATION.cff in the GitHub repository.

License

CC-BY-4.0. The manifest references third-party benchmarks under their own licenses.