Mistral Merge 7B Instruct Slerp by ntegrals

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  Merged Model   Autotrain compatible Base model:mistralai/mistral-7... Base model:mlabonne/neuralherm...   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Mistral Merge 7B Instruct Slerp Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Merge 7B Instruct Slerp (ntegrals/Mistral-Merge-7B-Instruct-Slerp)
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Mistral Merge 7B Instruct Slerp Parameters and Internals

LLM NameMistral Merge 7B Instruct Slerp
Repository ๐Ÿค—https://huggingface.co/ntegrals/Mistral-Merge-7B-Instruct-Slerp 
Base Model(s)  mlabonne/NeuralHermes-2.5-Mistral-7B   mistralai/Mistral-7B-Instruct-v0.2   mlabonne/NeuralHermes-2.5-Mistral-7B   mistralai/Mistral-7B-Instruct-v0.2
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-09-13
Maintainerntegrals
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   4.9 GB: 2-of-3   4.7 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.56.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000

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Note: green Score (e.g. "73.2") means that the model is better than ntegrals/Mistral-Merge-7B-Instruct-Slerp.

Rank the Mistral Merge 7B Instruct Slerp 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 v20241124