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Open-weight model · Text generation

Kronumos-Kairos-v2

by Kronumos-AI Kronumos/Kronumos-Kairos-v2

Kronumos-Kairos-v2 is an open-weight model for text generation from Kronumos-AI, released under Apache License 2.0. It has 7.6B parameters and a 32,768-token context. At 16-bit it needs about 18.3 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index. It draws 1.5k downloads a month.

Research Preprint: Springer Nature Research Square (DOI: 10.21203/rs.3.rs-11205335/v1) Kronumos 2 Kairos is an open-weight 7B cybernetic autonomous program repair (APR) model fine-tuned for high-precision code remediation on real-world production software…

Parameters7.6B
Context32,768
Weights15.2 GB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads1.5k

Runs On

What it takes to serve Kronumos-Kairos-v2 (7.6B parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.

PrecisionWeightsMemory neededCheapest setupPer hourAlso fits
16-bit 15.2 GB 18.3 GB 1x MI300X (192 GB)
Vultr		 $1.85 1x H100 $1.99 · 1x MI325X $2.00
8-bit 7.6 GB 9.1 GB 1x MI300X (192 GB)
Vultr		 $1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 3.8 GB 4.6 GB 1x MI300X (192 GB)
Vultr		 $1.85 1x H100 $1.99 · 1x MI325X $2.00

Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the SAVRN Index, read Oct 7, 2026.

Kronumos-Kairos-v2 on every accelerator the SAVRN Index prices, at every precision

Model Card

By Kronumos-AI, published under apache-2.0, revision aa1710b17f78.

Kronumos 2 Kairos: The Dual-Brain Sub-Cortex Autonomous Program Repair Engine

Organization: Tokenectomy Labs
Base Model: Qwen/Qwen2.5-Coder-7B-Instruct
Research Preprint: Springer Nature Research Square (DOI: 10.21203/rs.3.rs-11205335/v1)
Lead Author: Muhammad Naufal Daffa (ORCID: 0009-0000-7909-4916)
GitHub Repository: Tokenectomy-Labs/Kronomus

Kronumos 2 Kairos is an open-weight 7B cybernetic autonomous program repair (APR) model fine-tuned for high-precision code remediation on real-world production software bugs. It pairs parametric neural intuition with a deterministic, zero-allocation Rust Sub-Cortex (libtokenectomy_subcortex.so, C-ABI 5µs latency).

Announcement: Right Brain, Procedural Seed Cortex (In Development)

Status: In active development. Not yet part of the released weights.

The Kronumos Dual-Brain architecture is getting its next major component: the Right Brain, a cortex built entirely on Procedural Seeds.

Read the full model card (960 words)

Configuration

Architecture
Qwen2ForCausalLM
Context length (tokens)
32,768
Layers
28
Hidden size
3,584
Feed-forward size
18,944
Attention heads
28
Key/value heads
4
Vocabulary size
152,064
Stored precision
bfloat16
Model type
qwen2

Identity and Version

Repository
Kronumos/Kronumos-Kairos-v2
Publisher
Kronumos-AI
Task
Text generation
Modality
Text
Library
transformers
Parameters
7.6B parameters
Languages
en
Revision
aa1710b17f78b908258a2e91ee4f2a3a739db491
First published
2026-09-27
Last updated
2026-10-05

Files and Weights

14 files, 15.2 GB in total. The weights are 4 files totalling 15.2 GB in safetensors.

Weights4 files · 15.2 GB
Configuration4 files · 33.7 KB
Tokenizer2 files · 11.4 MB
Documentation1 file · 11.3 KB
Other2 files · 2.8 MB
Repository1 file · 1.6 KB
Every file
FileTypeSizeSHA-256
model-00001-of-00004.safetensorsWeights4.9 GB 2272d8d3540c
model-00002-of-00004.safetensorsWeights4.9 GB 56dde0e8244f
model-00003-of-00004.safetensorsWeights4.3 GB ff4650716159
model-00004-of-00004.safetensorsWeights1.1 GB 5aa6e5cbe642
config.jsonConfiguration1.6 KB —
generation_config.jsonConfiguration238 B —
model.safetensors.index.jsonConfiguration27.8 KB —
tokenectomy_subcortex_rust.pyConfiguration4.1 KB —
README.mdDocumentation11.3 KB —
chat_template.jinjaOther4.0 KB —
libtokenectomy_subcortex.soOther2.8 MB 369503a8d005
.gitattributesRepository1.6 KB —
tokenizer.jsonTokenizer11.4 MB ea43b2885426
tokenizer_config.jsonTokenizer9.1 KB —

License and Download

License
apache-2.0
Access
Open weights, no gate
Download size
15.2 GB
Download from Kronumos-AI

Released by Kronumos-AI through its official repository on Hugging Face. Read the license.

Built From

Memory Requirements

PrecisionWeights in memory
As published15.2 GB
16-bit15.2 GB
8-bit7.6 GB
4-bit3.8 GB

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

Questions About Kronumos-Kairos-v2

How much GPU memory does Kronumos-Kairos-v2 need?

About 18.3 GB at 16-bit and 4.6 GB at 4-bit: the weights (7.6B parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run Kronumos-Kairos-v2 on?

At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.

Can I use Kronumos-Kairos-v2 commercially?

Yes. Kronumos-Kairos-v2 is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.

What is Kronumos-Kairos-v2's context length?

32,768 tokens, from the maximum position embeddings in its published configuration.

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