Medorca 7B Slerp by Technoculture

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  Merged Model   Autotrain compatible   Endpoints compatible   Epfl-llm/meditron-7b   Llama   Microsoft/orca-2-7b   Region:us   Safetensors   Sharded   Tensorflow

Medorca 7B Slerp Benchmarks

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

Model Type 
text-generation
Additional Notes 
Medorca-7B-Slerp is a merge of EPFL LLM's Meditron-7B and Microsoft's Orca-2-7B using a method called SLERP.
LLM NameMedorca 7B Slerp
Repository ๐Ÿค—https://huggingface.co/Technoculture/Medorca-7B-Slerp 
Merged ModelYes
Model Size7b
Required VRAM13.5 GB
Updated2024-12-02
MaintainerTechnoculture
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<PAD>
Vocabulary Size32017
Torch Data Typefloat16
Medorca 7B Slerp (Technoculture/Medorca-7B-Slerp)

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Note: green Score (e.g. "73.2") means that the model is better than Technoculture/Medorca-7B-Slerp.

Rank the Medorca 7B 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