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YamshadowExperiment28 7B GGUF by MaziyarPanahi

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  2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Automerger   Autotrain compatible Base model:automerger/yamshado... Base model:automerger/yamshado... Base model:quantized:automerge... Base model:yam-peleg/experimen...   Endpoints compatible   Gguf   Lazymergekit   Merge   Mergekit   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/YamshadowExperiment28-7B-GGUF 

YamshadowExperiment28 7B GGUF Benchmarks

LLME Score: 0.15284
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
YamshadowExperiment28 7B GGUF (MaziyarPanahi/YamshadowExperiment28-7B-GGUF)
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YamshadowExperiment28 7B GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model contains GGUF format files for automerger/YamshadowExperiment28-7B.
LLM NameYamshadowExperiment28 7B GGUF
Repository 🤗https://huggingface.co/MaziyarPanahi/YamshadowExperiment28-7B-GGUF 
Model NameYamshadowExperiment28-7B-GGUF
Model Creatorautomerger
Base Model(s)  YamshadowExperiment28 7B   automerger/YamshadowExperiment28-7B
Model Size7b
Required VRAM2.7 GB
Updated2025-07-30
MaintainerMaziyarPanahi
Model Typemistral
Model Files  3.0 GB   3.9 GB   2.7 GB   3.8 GB   3.5 GB   3.2 GB   4.4 GB   4.1 GB   5.1 GB   5.0 GB   5.9 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel

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Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/YamshadowExperiment28-7B-GGUF.

Rank the YamshadowExperiment28 7B GGUF 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 v20241124
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