# Kronumos-Kairos-v2 by Kronumos-AI: Open-Weight Model Source: https://savrn.com/models/kronumos-kairos-v2 Markdown alternate of the page above; the site index is https://savrn.com/llms.txt --- ## 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. | Precision | Weights | Memory needed | Cheapest setup | Per hour | Also fits | | --- | --- | --- | --- | --- | --- | | 16-bit | 15.2 GB | 18.3 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 | | 8-bit | 7.6 GB | 9.1 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 | | 4-bit | 3.8 GB | 4.6 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/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](https://savrn.com/ai-index/pricing/gpus), read Oct 7, 2026. [Kronumos-Kairos-v2 on every accelerator the SAVRN Index prices, at every precision](https://savrn.com/models/kronumos-kairos-v2/gpus) ## 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](https://doi.org/10.21203/rs.3.rs-11205335/v1)) Lead Author: Muhammad Naufal Daffa ([ORCID: 0009-0000-7909-4916](https://orcid.org/0009-0000-7909-4916)) GitHub Repository: [Tokenectomy-Labs/Kronomus](https://github.com/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)](https://savrn.com/models/kronumos-kairos-v2/card) ## 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 | File | Type | Size | SHA-256 | | --- | --- | --- | --- | | model-00001-of-00004.safetensors | Weights | 4.9 GB | 2272d8d3540c | | model-00002-of-00004.safetensors | Weights | 4.9 GB | 56dde0e8244f | | model-00003-of-00004.safetensors | Weights | 4.3 GB | ff4650716159 | | model-00004-of-00004.safetensors | Weights | 1.1 GB | 5aa6e5cbe642 | | config.json | Configuration | 1.6 KB | — | | generation_config.json | Configuration | 238 B | — | | model.safetensors.index.json | Configuration | 27.8 KB | — | | tokenectomy_subcortex_rust.py | Configuration | 4.1 KB | — | | README.md | Documentation | 11.3 KB | — | | chat_template.jinja | Other | 4.0 KB | — | | libtokenectomy_subcortex.so | Other | 2.8 MB | 369503a8d005 | | .gitattributes | Repository | 1.6 KB | — | | tokenizer.json | Tokenizer | 11.4 MB | ea43b2885426 | | tokenizer_config.json | Tokenizer | 9.1 KB | — | ## License and Download License apache-2.0 Access Open weights, no gate Download size 15.2 GB [Download from Kronumos-AI](https://huggingface.co/Kronumos/Kronumos-Kairos-v2) Released by Kronumos-AI through its official repository on Hugging Face. [Read the license](https://www.apache.org/licenses/LICENSE-2.0). ## Built From - Trained on (disclosed) [princeton-nlp/SWE-bench_Verified](https://savrn.com/datasets/swe-bench-verified) ## Memory Requirements | Precision | Weights in memory | | --- | --- | | As published | 15.2 GB | | 16-bit | 15.2 GB | | 8-bit | 7.6 GB | | 4-bit | 3.8 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. ## Similar Models Model · Text generation ### [Qwen2.5-7B-Instruct](https://savrn.com/models/qwen2-5-7b-instruct) [Qwen](https://savrn.com/model-publishers/qwen) Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. 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Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and mathematics, thanks to our specialized expert models in these domains. - Significant improvements in instruction following, generating long texts (over 8K tokens), understanding structured data (e.g, tables), and generating structured outputs especially JSON. More resilient to the diversity of system prompts, enhancing role-play implementation and… Open weights apache-2.0 7.6B parameters 32,768 tokens transformers [View model](https://savrn.com/models/qwen2-5-7b-instruct-awq) Model · Text generation ### [Qwen2.5-Coder-7B-Instruct](https://savrn.com/models/qwen2-5-coder-7b-instruct) [Qwen](https://savrn.com/model-publishers/qwen) Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 billion parameters, to meet the needs of different developers. Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in code generation, code reasoning and code fixing. Base on the strong Qwen2.5, we scale up the training tokens into 5.5 trillion including source code, text-code grounding, Synthetic data, etc. Qwen2.5-Coder-32B has become the current state-of-the-art open-source codeLLM, with its coding abilities matching those of GPT-4o. - A more… Open weights apache-2.0 7.6B parameters 32,768 tokens transformers [View model](https://savrn.com/models/qwen2-5-coder-7b-instruct) Model · Text generation ### [Qwen2.5-Coder-7B-Instruct-AWQ](https://savrn.com/models/qwen2-5-coder-7b-instruct-awq) [Qwen](https://savrn.com/model-publishers/qwen) Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). 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For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and mathematics, thanks to our specialized expert models in these domains. - Significant improvements in instruction following, generating long texts (over 8K tokens), understanding structured data (e.g, tables), and generating structured outputs especially JSON. More resilient to the diversity of system prompts, enhancing role-play implementation and… Open weights apache-2.0 7.6B parameters 131,072 tokens transformers [View model](https://savrn.com/models/qwen2-5-7b) ## Kronumos-AI [All models and datasets](https://savrn.com/model-publishers/kronumos) ## Versions - [aa1710b17f78](https://savrn.com/models/kronumos-kairos-v2/versions/aa1710b17f78) · current 2026-10-05 ## Explore More - [All text generation models](https://savrn.com/models/tasks/text-generation) - [All models under apache-2.0](https://savrn.com/models/licenses/apache-2-0) - [Model comparisons](https://savrn.com/models/comparisons) - [The model directory](https://savrn.com/models) - [Open model prices by host](https://savrn.com/ai-index/pricing/open-models) ## Source - Repository metadata, read 2026-10-05. - [Hugging Face record](https://huggingface.co/Kronumos/Kronumos-Kairos-v2) - [How the hub is built](https://savrn.com/model-hub/methodology)