NeuralSynthesis 7B V0.4 Slerp by Kukedlc

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NeuralSynthesis 7B V0.4 Slerp is an open-source language model by Kukedlc. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Merged, HF Score: 76.8, LLM Explorer Score: 0.22, Arc: 73.2, HellaSwag: 89.1, MMLU: 64.3, TruthfulQA: 78.1, WinoGrande: 84.9, GSM8K: 71.

  Merged Model Allknowingroger/multiverseex26... Base model:finetune:kukedlc/ne... Base model:kukedlc/neuralsynth...   Endpoints compatible Kukedlc/neuralsynthesis-7b-v0....   Mistral   Region:us   Safetensors   Sharded   Tensorflow

NeuralSynthesis 7B V0.4 Slerp Benchmarks

NeuralSynthesis 7B V0.4 Slerp Parameters and Internals

Additional Notes 
NeuralSynthesis-7b-v0.4-slerp is a merge of the models allknowingroger/MultiverseEx26-7B-slerp and Kukedlc/NeuralSynthesis-7B-v0.1 using the LazyMergekit tool.
LLM NameNeuralSynthesis 7B V0.4 Slerp
Repository 🤗https://huggingface.co/Kukedlc/NeuralSynthesis-7b-v0.4-slerp 
Base Model(s)  MultiverseEx26 7B Slerp   Kukedlc/NeuralSynthesis-7B-v0.1   allknowingroger/MultiverseEx26-7B-slerp   Kukedlc/NeuralSynthesis-7B-v0.1
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2026-04-30
MaintainerKukedlc
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<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Kukedlc/NeuralSynthesis-7b-v0.4-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  
Code Generation  
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Release v20260328a