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Neural4gsm8k by Kukedlc

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Neural4gsm8k is an open-source language model by Kukedlc. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.12, Arc: 72.3, HellaSwag: 88.5, MMLU: 64.8, GSM8K: 73.4.

  Merged Model Base model:kukedlc/neural-4-gs... Base model:kukedlc/neural4gsm8...   Endpoints compatible   Kukedlc/neural-4-arc-7b-slerp Kukedlc/neural-4-gsm8k-7b-sler...   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Kukedlc/Neural4gsm8k 

Neural4gsm8k Benchmarks

ARC: 72.27 vs 96.7 (so35)-25.3%
HellaSwag: 88.45 vs 95.3 (gpt4)-7.2%
MMLU: 64.76 vs 88.3 (so35)-26.7%
GSM8K: 73.39 vs 96.4 (so35)-23.9%
LLME Score: 0.12187
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Neural4gsm8k (Kukedlc/Neural4gsm8k)
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Neural4gsm8k Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Additional Notes 
The model uses a merge method called slerp and is primarily intended for text generation tasks.
Release Notes 
Notes:
Neural-4-ARC-7B-slerp is a merge of the following models using LazyMergekit: Kukedlc/Neural-4-ARC-7B-slerp and Kukedlc/Neural-4-GSM8K-7B-slerp.
LLM NameNeural4gsm8k
Repository 🤗https://huggingface.co/Kukedlc/Neural4gsm8k 
Base Model(s)  Kukedlc/Neural-4-ARC-7B-slerp   Kukedlc/Neural-4-GSM8K-7B-slerp   Kukedlc/Neural-4-ARC-7B-slerp   Kukedlc/Neural-4-GSM8K-7B-slerp
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2026-06-03
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 Version4.35.2
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 Kukedlc/Neural4gsm8k.

Rank the Neural4gsm8k 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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