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: 0.11, Arc: 72.3, HellaSwag: 88.5, MMLU: 64.8, GSM8K: 73.4.
Neural4gsm8k Parameters and Internals
Model Type 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 Name Neural4gsm8k Repository 🤗 https://huggingface.co/Kukedlc/Neural4gsm8k Base Model(s) Kukedlc/Neural-4-ARC-7B-slerp Kukedlc/Neural-4-GSM8K-7B-slerp Merged Model Yes Model Size 7b Required VRAM 14.4 GB Updated 2026-08-08 Maintainer Kukedlc Model Type mistral Model Files 9.9 GB: 1-of-2 4.5 GB: 2-of-2 Model Architecture MistralForCausalLM License apache-2.0 Context Length 32768 Model Max Length 32768 Transformers Version 4.35.2 Tokenizer Class LlamaTokenizer Vocabulary Size 32000 Torch Data Type bfloat16
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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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