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Magnolia V2 Gemma2 8K 9B by grimjim

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Magnolia V2 Gemma2 8K 9B is an open-source language model by grimjim. Features: 9b LLM, VRAM: 18.6GB, Context: 8K, License: gemma, Merged, LLM Explorer Score: 0.25.

  Merged Model Base model:grimjim/magnolia-v1... Base model:grimjim/magot-v2-ge...   Conversational   Endpoints compatible   Ext 8k   Gemma2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/grimjim/Magnolia-v2-Gemma2-8k-9B 

Magnolia V2 Gemma2 8K 9B Benchmarks

LLME Score: 0.25322
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Magnolia V2 Gemma2 8K 9B (grimjim/Magnolia-v2-Gemma2-8k-9B)
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Magnolia V2 Gemma2 8K 9B Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model is a result of merging pre-trained language models using mergekit with the SLERP merge method. The model has been described as smart and attentive to context, providing a balance between creativity and instruction-following, tested at temperature=1 and minP=0.01.
LLM NameMagnolia V2 Gemma2 8K 9B
Repository 🤗https://huggingface.co/grimjim/Magnolia-v2-Gemma2-8k-9B 
Base Model(s)  Magnolia V1 Gemma2 8K 9B   Magot V2 Gemma2 8K 9B   grimjim/Magnolia-v1-Gemma2-8k-9B   grimjim/Magot-v2-Gemma2-8k-9B
Merged ModelYes
Model Size9b
Required VRAM18.6 GB
Updated2026-05-13
Maintainergrimjim
Model Typegemma2
Model Files  3.9 GB: 1-of-5   4.0 GB: 2-of-5   4.0 GB: 3-of-5   4.0 GB: 4-of-5   2.7 GB: 5-of-5
Context Length8k
Model ArchitectureGemma2ForCausalLM
Licensegemma
Context Length8192
Model Max Length8192
Transformers Version4.45.1
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/Magnolia-v2-Gemma2-8k-9B.

Rank the Magnolia V2 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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