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NeuralSynthesis 7B V0.3 by Kukedlc

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NeuralSynthesis 7B V0.3 is an open-source language model by Kukedlc. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Merged, HF Score: 76.7, LLM Explorer Score: 0.22, Arc: 72.7, HellaSwag: 89.2, MMLU: 64.4, TruthfulQA: 78.1, WinoGrande: 84.9, GSM8K: 70.9.

  Merged Model   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Kukedlc/NeuralSynthesis-7B-v0.3 

NeuralSynthesis 7B V0.3 Benchmarks

MMLU Pro: 22.78
GPQA: 4.03
MUSR: 13.39
BBH: 31.81
IFEval: 40.78 vs 88 (so35)-53.7%
ARC: 72.7 vs 96.7 (so35)-24.8%
HellaSwag: 89.18 vs 95.3 (gpt4)-6.4%
MMLU: 64.37 vs 88.3 (so35)-27.1%
TruthfulQA: 78.13 vs 59 (gpt4)32.4%
WinoGrande: 84.93 vs 87.5 (gpt4)-2.9%
GSM8K: 70.89 vs 96.4 (so35)-26.5%
MATH Lvl 5: 7.78
LLME Score: 0.22149
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NeuralSynthesis 7B V0.3 (Kukedlc/NeuralSynthesis-7B-v0.3)
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NeuralSynthesis 7B V0.3 Parameters and Internals

Model Type 
text generation
Additional Notes 
NeuralSynthesis-7B-v0.3 is a result of merging several models using LazyMergekit.
Supported Languages 
en (high)
Training Details 
Methodology:
LazyMergekit
Input Output 
Input Format:
Chat template
Accepted Modalities:
text
Output Format:
Generated text
LLM NameNeuralSynthesis 7B V0.3
Repository 🤗https://huggingface.co/Kukedlc/NeuralSynthesis-7B-v0.3 
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2026-05-01
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-v0.3.

Rank the NeuralSynthesis 7B V0.3 Capabilities

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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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