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Kitsunebi V1 Gemma2 8K 9B by grimjim

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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: 0.15.

  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 Benchmarks

LLME Score: 0.14919
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kitsunebi V1 Gemma2 8K 9B (grimjim/Kitsunebi-v1-Gemma2-8k-9B)
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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 NameKitsunebi 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 ModelYes
Model Size9b
Required VRAM18.5 GB
Updated2026-03-25
Maintainergrimjim
Model Typegemma2
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 Length8k
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.43.4
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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

Rank the Kitsunebi V1 Gemma2 8K 9B 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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