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Open-weight model

zeromem-pointer

by Kumar balaji9043/zeromem-pointer

zeromem-pointer is an open-weight model from Kumar. Its published files total 137.5 MB.

About 34M parameters, trained from scratch on a laptop. Reads a question plus a chunk whose sentences are tagged [A] [B] [C]... and answers [C] or, so it never retypes (or invents) text.

Parameters—
Context—
Weights136.4 MB
License—
AccessOpen weights
Monthly Downloads—

Model Card

About 34M parameters, trained from scratch on a laptop. Reads a question plus a chunk whose sentences are tagged [A] [B] [C]... and answers [C] or, so it never retypes (or invents) text. best.pt is a PyTorch checkpoint for the ZeroMem code (not a transformers model); tokenizer.json is its byte-level BPE tokenizer.

Excerpt from the card by Kumar.

Identity and Version

Repository
balaji9043/zeromem-pointer
Publisher
Kumar
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
Not stated by the source
Languages
rag
Revision
ff684b7626f036c372132c9861c103d333c25114
First published
2026-09-28
Last updated
2026-09-28

Files and Weights

4 files, 137.5 MB in total. The weights are 1 file totalling 136.4 MB in pt.

Weights1 file · 136.4 MB
Tokenizer1 file · 1.1 MB
Documentation1 file · 424 B
Repository1 file · 1.5 KB
Every file
FileTypeSizeSHA-256
best.ptWeights136.4 MB 3b00fc9605e8
README.mdDocumentation424 B —
.gitattributesRepository1.5 KB —
tokenizer.jsonTokenizer1.1 MB —

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download size
136.4 MB
Download from Kumar

Released by Kumar through its official repository on Hugging Face.

Memory Requirements

PrecisionWeights in memory
As published136.4 MB

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