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Open-weight model

cacherepair

by Genglin Wang gwang3456/cacherepair

cacherepair is an open-weight model from Genglin Wang, released under other. Its published files total 2.3 GB.

Repair networks for CacheRepair: Learning to Repair Cross-Chunk Context in RAG for KV Cache Fusion. Each network predicts residual corrections to independently precomputed document KV caches for one frozen target LLM.

Parameters—
Context—
Weights2.3 GB
Licenseother
AccessOpen weights
Monthly Downloads—

Model Card

Repair networks for CacheRepair: Learning to Repair Cross-Chunk Context in RAG for KV Cache Fusion. Each network predicts residual corrections to independently precomputed document KV caches for one frozen target LLM. The same repairer serves MuSiQue, HotpotQA, MultiHop-RAG, and TriviaQA. The Qwen repairers are Built with Qwen. The Llama repairers are Built with Llama and are named Llama-CacheRepair S/M/L. Each target/size directory contains model.safetensors and config.json. The weight file holds repair parameters and the sigmastale / sigmadelta normalization tensors in FP32. The target LLM supplies its own frozen embedding. manifest.json lists exact parameter counts and file identities.…

Excerpt from the card by Genglin Wang, licensed other.

Identity and Version

Repository
gwang3456/cacherepair
Publisher
Genglin Wang
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
Not stated by the source
Languages
en
Revision
0f96dbf4b12abe2d634a646fb3273b226a41fd67
First published
2026-08-20
Last updated
2026-09-29

Files and Weights

27 files, 2.3 GB in total. The weights are 9 files totalling 2.3 GB in safetensors.

Weights9 files · 2.3 GB
Configuration10 files · 20.1 KB
Documentation7 files · 37.2 KB
Repository1 file · 50 B
Every file
FileTypeSizeSHA-256
Llama-3.1-8B-Instruct/L/model.safetensorsWeights372.8 MB 995f57e3abda
Llama-3.1-8B-Instruct/M/model.safetensorsWeights235.9 MB 91fe41571637
Llama-3.1-8B-Instruct/S/model.safetensorsWeights93.4 MB c424197d08c9
Qwen2.5-14B-Instruct/L/model.safetensorsWeights635.3 MB 5f7203250a67
Qwen2.5-14B-Instruct/M/model.safetensorsWeights415.3 MB 542d8990c557
Qwen2.5-14B-Instruct/S/model.safetensorsWeights168.0 MB 6710f1ad6305
Qwen2.5-3B-Instruct/L/model.safetensorsWeights204.4 MB 86e5b06c8c48
Qwen2.5-3B-Instruct/M/model.safetensorsWeights119.5 MB cbe900e8829b
Qwen2.5-3B-Instruct/S/model.safetensorsWeights38.0 MB 5a9f38593146
Llama-3.1-8B-Instruct/L/config.jsonConfiguration2.1 KB —
Llama-3.1-8B-Instruct/M/config.jsonConfiguration2.1 KB —
Llama-3.1-8B-Instruct/S/config.jsonConfiguration2.1 KB —
Qwen2.5-14B-Instruct/L/config.jsonConfiguration1.7 KB —
Qwen2.5-14B-Instruct/M/config.jsonConfiguration1.7 KB —
Qwen2.5-14B-Instruct/S/config.jsonConfiguration1.7 KB —
Qwen2.5-3B-Instruct/L/config.jsonConfiguration1.7 KB —
Qwen2.5-3B-Instruct/M/config.jsonConfiguration1.7 KB —
Qwen2.5-3B-Instruct/S/config.jsonConfiguration1.7 KB —
manifest.jsonConfiguration3.5 KB —
LICENSEDocumentation895 B —
Llama-3.1-8B-Instruct/LICENSEDocumentation7.7 KB —
Llama-3.1-8B-Instruct/USE_POLICY.mdDocumentation4.7 KB —
NOTICEDocumentation711 B —
Qwen2.5-14B-Instruct/LICENSEDocumentation11.4 KB —
Qwen2.5-3B-Instruct/LICENSEDocumentation7.4 KB —
README.mdDocumentation4.5 KB —
.gitattributesRepository50 B —

License and Download

License
other
Access
Open weights, no gate
Download size
2.3 GB
Download from Genglin Wang

Released by Genglin Wang through its official repository on Hugging Face.

Built From

Memory Requirements

PrecisionWeights in memory
As published2.3 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About cacherepair

What license is cacherepair released under?

other, as its publisher declares it. Read the license text before commercial use.