What are the hardware requirements for Kunoichi Lemon Royale V2 32K 7B?

Kunoichi Lemon Royale V2 32K 7B requires approximately 14.5 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 Kunoichi Lemon Royale V2 32K 7B and how large is it?

Kunoichi Lemon Royale V2 32K 7B is developed by grimjim, 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 Kunoichi Lemon Royale V2 32K 7B perform on standard benchmarks?

Kunoichi Lemon Royale V2 32K 7B has the following published scores: MMLU 62.93. Compare against reference models on this page or on the LLM Explorer leaderboards.

Kunoichi Lemon Royale V2 32K 7B by grimjim — VRAM 14.5GB, 32K context

Name: Kunoichi Lemon Royale V2 32K 7B
Author: grimjim

Kunoichi Lemon Royale V2 32K 7B is an open-source language model by grimjim. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: cc-by-nc-4.0, Instruction-Based, Merged, LLM Explorer Score: 0.13, Arc: 66.6, HellaSwag: 85.3, MMLU: 62.9, GSM8K: 53.5.

Merged Model Arxiv:2212.04089 Base model:grimjim/kunoichi-le... Base model:grimjim/mistral-7b-... Conversational Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/grimjim/kunoichi-lemon-royale-v2-32K-7B

Kunoichi Lemon Royale V2 32K 7B Parameters and Internals

Model Type

text-generation

Additional Notes

This model was merged from models derived from Mistral v0.1 and v0.2 using the task arithmetic method. Rope_theta in config.json was adjusted to work well to 16K context length.

Training Details

Methodology:

task_arithmetic

Context Length:

32000

LLM Name	Kunoichi Lemon Royale V2 32K 7B
Repository 🤗	https://huggingface.co/grimjim/kunoichi-lemon-royale-v2-32K-7B
Base Model(s)	grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B Kunoichi Lemon Royale 7B grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B grimjim/kunoichi-lemon-royale-7B
Merged Model	Yes
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-07-15
Maintainer	grimjim
Model Type	mistral
Instruction-Based	Yes
Model Files	5.9 GB: 1-of-3 6.0 GB: 2-of-3 2.6 GB: 3-of-3
Model Architecture	MistralForCausalLM
License	cc-by-nc-4.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.39.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Kunoichi Lemon Royale V2 32K 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 Kunoichi Lemon Royale V2 32K 7B

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
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
... Summarize 64K QLoRANET Merged	128K / 4.1 GB	10	0
...1 Summarize 64K LoRANET Merged	128K / 14.4 GB	13	0
Mistral 7B Instruct V0.2	32K / 14.4 GB	1115337	3184
Mistral 7B Instruct V0.1	32K / 14.4 GB	253629	1846
Mistral 7B Instruct V0.2	32K / 14.4 GB	1338	0
Lexi Coder V5.1	32K / 14.5 GB	197	0

Note: green Score (e.g. "73.2") means that the model is better than grimjim/kunoichi-lemon-royale-v2-32K-7B.