Mergekit Slerp Wxijtsx by yweslakarep

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  Merged Model   Autotrain compatible Base model:nousresearch/hermes... Base model:wizardlmteam/wizard...   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mergekit Slerp Wxijtsx 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 Wxijtsx (yweslakarep/mergekit-slerp-wxijtsx)

Mergekit Slerp Wxijtsx Parameters and Internals

Additional Notes 
This model is a merge of pre-trained language models.
LLM NameMergekit Slerp Wxijtsx
Repository ๐Ÿค—https://huggingface.co/yweslakarep/mergekit-slerp-wxijtsx 
Base Model(s)  Hermes 2 Pro Mistral 7B   WizardLM/WizardMath-7B-V1.1   NousResearch/Hermes-2-Pro-Mistral-7B   WizardLM/WizardMath-7B-V1.1
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
Maintaineryweslakarep
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32032
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than yweslakarep/mergekit-slerp-wxijtsx.

Rank the Mergekit Slerp Wxijtsx 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227