SweetNeural 7B by MisterRaven006

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  Merged Model   Autotrain compatible Base model:katythecutie/lemona... Base model:mlabonne/neuralbeag...   Conversational   Endpoints compatible   Gguf   Mistral   Q5   Quantized   Region:us   Safetensors   Sharded   Tensorflow

SweetNeural 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SweetNeural 7B (MisterRaven006/SweetNeural-7B)

SweetNeural 7B Parameters and Internals

LLM NameSweetNeural 7B
Repository ๐Ÿค—https://huggingface.co/MisterRaven006/SweetNeural-7B 
Base Model(s)  KatyTheCutie/LemonadeRP-4.5.3   NeuralBeagle14 7B   KatyTheCutie/LemonadeRP-4.5.3   mlabonne/NeuralBeagle14-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
MaintainerMisterRaven006
Model Typemistral
Model Files  5.1 GB   5.9 GB   7.7 GB   4.4 GB   9.9 GB: 1-of-2   4.5 GB: 2-of-2
GGUF QuantizationYes
Quantization Typeq5|gguf|q5_k
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than MisterRaven006/SweetNeural-7B.

Rank the SweetNeural 7B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227