StrangeMerges 37 7B Dare Ties by Gille

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  Merged Model   Autotrain compatible Base model:contextualai/contex...   Base model:liminerity/m7-7b Contextualai/contextual kto mi...   Conversational   Endpoints compatible   Liminerity/m7-7b   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

StrangeMerges 37 7B Dare Ties Benchmarks

StrangeMerges 37 7B Dare Ties (Gille/StrangeMerges_37-7B-dare_ties)

StrangeMerges 37 7B Dare Ties Parameters and Internals

Model Type 
text-generation
Training Details 
Methodology:
merge
Model Architecture:
density: 0.53, weight: 0.4
LLM NameStrangeMerges 37 7B Dare Ties
Repository ๐Ÿค—https://huggingface.co/Gille/StrangeMerges_37-7B-dare_ties 
Base Model(s)  M7 7B   StrangeMerges 30 7B Slerp   Contextual KTO Mistral PairRM   liminerity/M7-7b   Gille/StrangeMerges_30-7B-slerp   ContextualAI/Contextual_KTO_Mistral_PairRM
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2025-03-20
MaintainerGille
Model Typemistral
Model Files  9.8 GB: 1-of-2   4.7 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
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_37-7B-dare_ties.

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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