StrangeMerges 16 7B Slerp by Gille

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  Merged Model   Autotrain compatible Base model:sanjiwatsuki/kunoic...   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sanjiwatsuki/kunoichi-7b   Sharded   Tensorflow

StrangeMerges 16 7B Slerp Benchmarks

StrangeMerges 16 7B Slerp (Gille/StrangeMerges_16-7B-slerp)

StrangeMerges 16 7B Slerp Parameters and Internals

Model Type 
text-generation
Additional Notes 
StrangeMerges_16-7B-slerp is a merge of the models Gille/StrangeMerges_15-7B-slerp and SanjiWatsuki/Kunoichi-7B using LazyMergekit.
Training Details 
Methodology:
slerp
LLM NameStrangeMerges 16 7B Slerp
Repository ๐Ÿค—https://huggingface.co/Gille/StrangeMerges_16-7B-slerp 
Base Model(s)  StrangeMerges 15 7B Slerp   Kunoichi 7B   Gille/StrangeMerges_15-7B-slerp   SanjiWatsuki/Kunoichi-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-02-05
MaintainerGille
Model Typemistral
Model Files  1.9 GB: 1-of-8   2.0 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   1.8 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   1.0 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Gille/StrangeMerges_16-7B-slerp.

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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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227