What are the hardware requirements for Kronumos Kairos V2?

Kronumos Kairos V2 requires approximately 15.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Kronumos Kairos V2 and how large is it?

Kronumos Kairos V2 is developed by NadevA23, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Kronumos Kairos V2?

Kronumos Kairos V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Kronumos Kairos V2 by NadevA23 — VRAM 15.2GB, 32K context

Name: Kronumos Kairos V2
Author: NadevA23

Kronumos Kairos V2 is an open-source language model by NadevA23. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.34.

4bit Autonomous-agents Code-generation Codegen Conversational Dataset:princeton-nlp/swe-benc... En Endpoints compatible Instruct Program-repair Quantized Qwen2 Region:us Rust-subcortex Safetensors Sharded Swe-bench Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/NadevA23/Kronumos-Kairos-v2

Kronumos Kairos V2 Parameters and Internals

LLM Name	Kronumos Kairos V2
Repository 🤗	https://huggingface.co/NadevA23/Kronumos-Kairos-v2
Base Model(s)	unsloth/qwen2.5-coder-7b-instruct-bnb-4bit unsloth/qwen2.5-coder-7b-instruct-bnb-4bit
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-09-30
Maintainer	NadevA23
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 4.3 GB: 3-of-4 1.1 GB: 4-of-4
Supported Languages	en
Quantization Type	4bit
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Kronumos Kairos V2 capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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Qwen2.5 7B Security Cot	32K / 15.2 GB	364	2
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Securereview 7B Mlx 4bit	32K / 4.3 GB	22	4
...2.5 Coder 7B Instruct Bnb 4bit	32K / 5.5 GB	80120	13
Qwen2.5 CoderX 7B V0.7	32K / 15.2 GB	5	2
Qwen2.5 Coder 7B Instruct 4bit	32K / 4.3 GB	13602	17
Qwen2.5 CoderX 7B V0.5	32K / 15.2 GB	6	2
Sft Model	32K / 15.2 GB	21	0
UIGEN 7B 16bit	32K / 15.2 GB	14	5