What are the hardware requirements for Kitsunebi V1 Gemma2 8K 9B?

Kitsunebi V1 Gemma2 8K 9B requires approximately 18.5 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 Kitsunebi V1 Gemma2 8K 9B and how large is it?

Kitsunebi V1 Gemma2 8K 9B is developed by grimjim, a model with 9b 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 Kitsunebi V1 Gemma2 8K 9B?

Kitsunebi V1 Gemma2 8K 9B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Kitsunebi V1 Gemma2 8K 9B by grimjim — VRAM 18.5GB, 8K context

Name: Kitsunebi V1 Gemma2 8K 9B
Author: grimjim

Kitsunebi V1 Gemma2 8K 9B is an open-source language model by grimjim. Features: 9b LLM, VRAM: 18.5GB, Context: 8K, License: gemma, Merged, LLM Explorer Score: 0.13.

Merged Model Arxiv:2405.14734 Arxiv:2406.14491 Base model:axcxept/ezo-common-... Base model:princeton-nlp/gemma... Conversational Endpoints compatible Ext 8k Gemma2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/grimjim/Kitsunebi-v1-Gemma2-8k-9B

Kitsunebi V1 Gemma2 8K 9B Parameters and Internals

Model Type

text generation

Additional Notes

The model was merged using the SLERP method and is effective for coherence rather than textual richness.

Training Details

Methodology:

context-based synthesized instruction pre-training data for supervised multitask pre-training

Model Architecture:

based on gemma-2 and fine-tuned by Axcxept co., ltd

LLM Name	Kitsunebi V1 Gemma2 8K 9B
Repository 🤗	https://huggingface.co/grimjim/Kitsunebi-v1-Gemma2-8k-9B
Base Model(s)	Gemma 2 9B It SimPO EZO Common 9B Gemma 2 It princeton-nlp/gemma-2-9b-it-SimPO HODACHI/EZO-Common-9B-gemma-2-it
Merged Model	Yes
Model Size	9b
Required VRAM	18.5 GB
Updated	2026-07-18
Maintainer	grimjim
Model Type	gemma2
Model Files	3.1 GB: 1-of-5 5.0 GB: 2-of-5 4.9 GB: 3-of-5 5.0 GB: 4-of-5 0.5 GB: 5-of-5
Context Length	8k
Model Architecture	Gemma2ForCausalLM
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.43.4
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Kitsunebi V1 Gemma2 8K 9B 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 Kitsunebi V1 Gemma2 8K 9B

Best Alternatives	Context / RAM	Downloads	Likes
G2 GSHT 32K	32K / 20.4 GB	8	1
SystemGemma2 9B It	32K / 18.6 GB	5	2
Gemma 2 9B It	8K / 18.6 GB	80757	11
GWQ 9B Preview2	8K / 18.6 GB	11	10
Gemma 2 9B It	8K / 18.6 GB	6	0
Gemma 2 9B It SimPO	8K / 18.6 GB	473	173
Gemma 2 9B It	8K / 18.6 GB	323635	837
Gemma 2 9B It Blend Rebase	8K / 20.4 GB	5	0
...ty Gemma2 9b It Swift Remove20	8K / 18.6 GB	179	1
Gemma 2 9B	8K / 37.1 GB	95888	717

Note: green Score (e.g. "73.2") means that the model is better than grimjim/Kitsunebi-v1-Gemma2-8k-9B.