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NeoCortex 7B Slerp by Kukedlc

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NeoCortex 7B Slerp is an open-source language model by Kukedlc. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Merged, HF Score: 75.7, LLM Explorer Score: 0.13, Arc: 72.9, HellaSwag: 88.7, MMLU: 64.7, TruthfulQA: 70.4, WinoGrande: 85.6, GSM8K: 71.8.

  Merged Model Base model:kukedlc/neural4gsm8... Base model:macadeliccc/westlak...   Endpoints compatible   Kukedlc/neural4gsm8k Macadeliccc/westlake-7b-v2-las...   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Kukedlc/NeoCortex-7B-slerp 

NeoCortex 7B Slerp Benchmarks

ARC: 72.87 vs 96.7 (so35)-24.6%
HellaSwag: 88.68 vs 95.3 (gpt4)-6.9%
MMLU: 64.71 vs 88.3 (so35)-26.7%
TruthfulQA: 70.43 vs 59 (gpt4)19.4%
WinoGrande: 85.56 vs 87.5 (gpt4)-2.2%
GSM8K: 71.8 vs 96.4 (so35)-25.5%
LLME Score: 0.12717
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NeoCortex 7B Slerp (Kukedlc/NeoCortex-7B-slerp)
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NeoCortex 7B Slerp Parameters and Internals

Model Type 
merge, text-generation
Additional Notes 
NeoCortex-7B-slerp is a merge of models using LazyMergekit with a specified configuration in YAML format.
LLM NameNeoCortex 7B Slerp
Repository 🤗https://huggingface.co/Kukedlc/NeoCortex-7B-slerp 
Base Model(s)  Neural4gsm8k   ...estLake 7B V2 Laser Truthy DPO   Kukedlc/Neural4gsm8k   macadeliccc/WestLake-7B-v2-laser-truthy-dpo
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2026-04-21
MaintainerKukedlc
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 Version4.37.2
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 Kukedlc/NeoCortex-7B-slerp.

Rank the NeoCortex 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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