What are the hardware requirements for Kuno Royale V2 7B?

Kuno Royale V2 7B requires approximately 14.4 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Kuno Royale V2 7B and how large is it?

Kuno Royale V2 7B is developed by core-3, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Kuno Royale V2 7B perform on standard benchmarks?

Kuno Royale V2 7B has the following published scores: MMLU 65.07. Compare against reference models on this page or on the LLM Explorer leaderboards.

Kuno Royale V2 7B by core-3 — VRAM 14.4GB, 8K context

Name: Kuno Royale V2 7B
Author: core-3

Kuno Royale V2 7B is an open-source language model by core-3. Features: 7b LLM, VRAM: 14.4GB, Context: 8K, License: cc-by-nc-2.0, Merged, LLM Explorer Score: 0.12, Arc: 72, HellaSwag: 88.2, MMLU: 65.1, GSM8K: 70.2.

Merged Model Base model:eren23/ogno-monarch... Base model:sanjiwatsuki/kunoic... Endpoints compatible Eren23/ogno-monarch-jaskier-me... Mistral Model-index Region:us Safetensors Sanjiwatsuki/kunoichi-dpo-v2-7... Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/core-3/kuno-royale-v2-7b

Kuno Royale V2 7B Parameters and Internals

Model Type

text-generation

Additional Notes

The model kuno-royale-v2-7b aims to enhance roleplaying prose while achieving strong performance on leaderboard metrics.

Input Output

Input Format:

Chat templates with messages: role and content.

Accepted Modalities:

text

Output Format:

Generated text response from the model.

Performance Tips:

Use float16 dtype and device_map='auto' for optimal performance.

LLM Name	Kuno Royale V2 7B
Repository 🤗	https://huggingface.co/core-3/kuno-royale-v2-7b
Base Model(s)	Kunoichi DPO V2 7B ...h Jaskier Merge 7B OH PREF DPO SanjiWatsuki/Kunoichi-DPO-v2-7B eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO
Merged Model	Yes
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-08-01
Maintainer	core-3
Model Type	mistral
Model Files	2.0 GB: 1-of-8 1.9 GB: 2-of-8 2.0 GB: 3-of-8 2.0 GB: 4-of-8 1.9 GB: 5-of-8 1.9 GB: 6-of-8 1.9 GB: 7-of-8 0.8 GB: 8-of-8
Model Architecture	MistralForCausalLM
License	cc-by-nc-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.1
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Kuno Royale V2 7B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Kuno Royale V2 7B

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than core-3/kuno-royale-v2-7b.