Mergekit Slerp Rijglhb by mergekit-community

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Mergekit Slerp Rijglhb is an open-source language model by mergekit-community. Features: 2b LLM, VRAM: 5GB, Context: 8K, Merged, LLM Explorer Score: 0.13.

  Merged Model   Autotrain compatible Base model:lemon-mint/gemma-ko... Base model:unsloth/gemma-1.1-2...   Conversational   Endpoints compatible   Gemma   Region:us   Safetensors   Sharded   Tensorflow

Mergekit Slerp Rijglhb Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mergekit Slerp Rijglhb (mergekit-community/mergekit-slerp-rijglhb)
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Mergekit Slerp Rijglhb Parameters and Internals

Additional Notes 
This model is a merge of pre-trained language models using the mergekit library.
Training Details 
Methodology:
This model was created using the SLERP merge method.
LLM NameMergekit Slerp Rijglhb
Repository ๐Ÿค—https://huggingface.co/mergekit-community/mergekit-slerp-rijglhb 
Base Model(s)  unsloth/gemma-1.1-2b-it   lemon-mint/gemma-ko-1.1-2b-it   unsloth/gemma-1.1-2b-it   lemon-mint/gemma-ko-1.1-2b-it
Merged ModelYes
Model Size2b
Required VRAM5 GB
Updated2025-09-23
Maintainermergekit-community
Model Typegemma
Model Files  5.0 GB: 1-of-1
Model ArchitectureGemmaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.39.3
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 mergekit-community/mergekit-slerp-rijglhb.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
Text Generation  
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Multi-Language Support and Translation  

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Release v20260328a