Mergekit Slerp Qgjzwtc by mergekit-community

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Mergekit Slerp Qgjzwtc is an open-source language model by mergekit-community. Features: 12b LLM, VRAM: 24.5GB, Context: 128K, Merged, LLM Explorer Score: 0.19.

  Merged Model   Autotrain compatible Base model:hardlyworking/sapph... Base model:readyart/the-omega-...   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mergekit Slerp Qgjzwtc 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 Qgjzwtc (mergekit-community/mergekit-slerp-qgjzwtc)
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Mergekit Slerp Qgjzwtc Parameters and Internals

LLM NameMergekit Slerp Qgjzwtc
Repository ๐Ÿค—https://huggingface.co/mergekit-community/mergekit-slerp-qgjzwtc 
Base Model(s)  Sapphire 12B   ReadyArt/The-Omega-Directive-M-12B-v1.0   hardlyworking/Sapphire-12B   ReadyArt/The-Omega-Directive-M-12B-v1.0
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2025-09-23
Maintainermergekit-community
Model Typemistral
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Model ArchitectureMistralForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.51.1
Tokenizer ClassPreTrainedTokenizer
Padding Token<pad>
Vocabulary Size131072
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-qgjzwtc.

Rank the Mergekit Slerp Qgjzwtc 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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Release v20260328a