Experiment27Pastiche 7B GGUF by MaziyarPanahi

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Experiment27Pastiche 7B GGUF is an open-source language model by MaziyarPanahi. Features: 7b LLM, VRAM: 2.7GB, Quantized, LLM Explorer Score: 0.13.

  2-bit   3-bit   4-bit   5-bit   6-bit   8-bit   Automerger   Autotrain compatible Base model:automerger/experime... Base model:corticalstack/pasti... Base model:quantized:automerge...   Endpoints compatible   Gguf   Lazymergekit   Merge   Mergekit   Mistral   Quantized   Region:us   Safetensors

Experiment27Pastiche 7B GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Experiment27Pastiche 7B GGUF (MaziyarPanahi/Experiment27Pastiche-7B-GGUF)
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Experiment27Pastiche 7B GGUF Parameters and Internals

Model Type 
text-generation
LLM NameExperiment27Pastiche 7B GGUF
Repository ๐Ÿค—https://huggingface.co/MaziyarPanahi/Experiment27Pastiche-7B-GGUF 
Model NameExperiment27Pastiche-7B-GGUF
Model Creatorautomerger
Base Model(s)  Experiment27Pastiche 7B   automerger/Experiment27Pastiche-7B
Model Size7b
Required VRAM2.7 GB
Updated2026-03-06
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/Experiment27Pastiche-7B-GGUF.

Rank the Experiment27Pastiche 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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Release v20260328a