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Kinggaroo 12B V2 by kainatq

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Kinggaroo 12B V2 is an open-source language model by kainatq. Features: 12b LLM, VRAM: 23.8GB, Context: 1000K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.22.

  Merged Model Base model:epistemeai/mistral-... Base model:grimjim/mistralai-m... Base model:latitudegames/muse-... Base model:latitudegames/wayfa...   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/kainatq/Kinggaroo-12b-v2 

Kinggaroo 12B V2 Benchmarks

LLME Score: 0.22422
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kinggaroo 12B V2 (kainatq/Kinggaroo-12b-v2)
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Kinggaroo 12B V2 Parameters and Internals

LLM NameKinggaroo 12B V2
Repository 🤗https://huggingface.co/kainatq/Kinggaroo-12b-v2 
Base Model(s)  Muse 12B   Wayfarer 2 12B   grimjim/mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B   ...o Instruct 12B Philosophy Math   LatitudeGames/Muse-12B   LatitudeGames/Wayfarer-2-12B   grimjim/mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B   EpistemeAI/Mistral-Nemo-Instruct-12B-Philosophy-Math
Merged ModelYes
Model Size12b
Required VRAM23.8 GB
Updated2026-05-03
Maintainerkainatq
Model Typemistral
Instruction-BasedYes
Model Files  1.3 GB: 1-of-25   1.3 GB: 2-of-25   1.0 GB: 3-of-25   0.9 GB: 4-of-25   0.9 GB: 5-of-25   0.9 GB: 6-of-25   1.0 GB: 7-of-25   0.9 GB: 8-of-25   0.9 GB: 9-of-25   0.9 GB: 10-of-25   1.0 GB: 11-of-25   0.9 GB: 12-of-25   0.9 GB: 13-of-25   0.9 GB: 14-of-25   1.0 GB: 15-of-25   0.9 GB: 16-of-25   0.9 GB: 17-of-25   0.9 GB: 18-of-25   1.0 GB: 19-of-25   0.9 GB: 20-of-25   0.9 GB: 21-of-25   0.9 GB: 22-of-25   1.0 GB: 23-of-25   0.9 GB: 24-of-25   0.8 GB: 25-of-25
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.57.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072

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Note: green Score (e.g. "73.2") means that the model is better than kainatq/Kinggaroo-12b-v2.

Rank the Kinggaroo 12B V2 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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