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Omningotex 7B Slerp by liminerity

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Omningotex 7B Slerp is an open-source language model by liminerity. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Merged, HF Score: 76.3, LLM Explorer Score: 0.12, Arc: 73.3, HellaSwag: 89, MMLU: 64.7, TruthfulQA: 76.3, WinoGrande: 84.2, GSM8K: 70.5.

  Merged Model   Autotrain compatible Base model:eren23/dpo-binarize... Base model:liminerity/binarize...   Endpoints compatible Eren23/dpo-binarized-neutrixom... Liminerity/binarized-ingotrix-...   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/liminerity/Omningotex-7b-slerp 

Omningotex 7B Slerp Benchmarks

ARC: 73.29 vs 96.7 (so35)-24.2%
HellaSwag: 88.96 vs 95.3 (gpt4)-6.7%
MMLU: 64.69 vs 88.3 (so35)-26.7%
TruthfulQA: 76.32 vs 59 (gpt4)29.4%
WinoGrande: 84.21 vs 87.5 (gpt4)-3.8%
GSM8K: 70.51 vs 96.4 (so35)-26.9%
LLME Score: 0.12457
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Omningotex 7B Slerp (liminerity/Omningotex-7b-slerp)
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Omningotex 7B Slerp Parameters and Internals

Model Type 
text generation
Additional Notes 
Omningotex-7b-slerp is created through merging of models using LazyMergekit and highlights the use of SLERP technique to enhance LLM performance.
LLM NameOmningotex 7B Slerp
Repository 🤗https://huggingface.co/liminerity/Omningotex-7b-slerp 
Base Model(s)  Binarized Ingotrix Slerp 7B   DPO Binarized NeutrixOmnibe 7B   liminerity/binarized-ingotrix-slerp-7b   eren23/dpo-binarized-NeutrixOmnibe-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-11-24
Maintainerliminerity
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
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 liminerity/Omningotex-7b-slerp.

Rank the Omningotex 7B Slerp Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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