RWKV

by RWKV Foundation / BlinkDL community

System Card

OrganizationRWKV Foundation / BlinkDL community

Released2023-05

Architectureexternal-memory-network / Linear-attention RNN with receptance-weighted key-value

DetailsCombines Transformer-style parallelizable training with RNN-style linear-time inference through a receptance-weighted key-value (RWKV) attention. Constant memory, no KV cache, unbounded context length.

Parameters—

Domainlong-context

Open SourceYes

PaperView Paper

WebsiteVisit

CodeRepository

rnnlinear-attentionconstant-memoryefficient

Capability Profile

Benchmark Scores

6 of 14 benchmarks

Data Transparency:6 estimated

Long-Context Retrieval

5/5

75.887pEstimated

71.215pEstimated

73.927pEstimated

603pEstimated

72.616pEstimated

Multi-Turn Recall

0/2

LoCoMo

no data

MemoryBank

no data

Cross-Session Memory

0/1

LongMemEval

no data

Multi-Hop QA

1/3

BABILong

77.272pEstimated

MultiHop-RAG

no data

HotpotQA

no data

Agent Task Memory

0/1

AgentBench-Mem

no data

Personalization

0/1

PerLTQA

no data

Factuality / Grounding

0/1

RAGAS

no data

Sources:Arena estimate — derived from capability profile, not independently verified