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RogerMerge 7B Slerp by allknowingroger

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  Merged Model Allknowingroger/multiverseex26... Allknowingroger/percivalmelodi...   Autotrain compatible Base model:allknowingroger/mul... Base model:allknowingroger/per...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/allknowingroger/RogerMerge-7B-slerp 

RogerMerge 7B Slerp Benchmarks

MMLU Pro: 22.56
GPQA: 4.03
MUSR: 12.93
BBH: 31.99
IFEval: 39.33 vs 88 (so35)-55.3%
MATH Lvl 5: 6.87
LLME Score: 0.2327
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RogerMerge 7B Slerp (allknowingroger/RogerMerge-7B-slerp)

RogerMerge 7B Slerp Parameters and Internals

Model Type 
text generation
LLM NameRogerMerge 7B Slerp
Repository 🤗https://huggingface.co/allknowingroger/RogerMerge-7B-slerp 
Base Model(s)  MultiverseEx26 7B Slerp   PercivalMelodias 7B Slerp   allknowingroger/MultiverseEx26-7B-slerp   allknowingroger/PercivalMelodias-7B-slerp
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
Maintainerallknowingroger
Model Typemistral
Model Files  2.0 GB: 1-of-8   2.0 GB: 2-of-8   1.9 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than allknowingroger/RogerMerge-7B-slerp.

Rank the RogerMerge 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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Release v20241227
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