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Zarablend MX L2 7B GGUF by TheBloke

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Zarablend MX L2 7B GGUF is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 2.8GB, License: other, Quantized, LLM Explorer Score: 0.09.

Base model:quantized:zarakique... Base model:zarakiquemparte/zar...   Gguf   Llama   Llama2   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/Zarablend-MX-L2-7B-GGUF 

Zarablend MX L2 7B GGUF Benchmarks

LLME Score: 0.09388
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zarablend MX L2 7B GGUF (TheBloke/Zarablend-MX-L2-7B-GGUF)
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Zarablend MX L2 7B GGUF Parameters and Internals

Model Type 
llama
Use Cases 
Limitations:
This model is not intended for supplying factual information or advice in any form
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
LLM NameZarablend MX L2 7B GGUF
Repository 🤗https://huggingface.co/TheBloke/Zarablend-MX-L2-7B-GGUF 
Model NameZarablend MX L2 7B
Model CreatorZaraki Quem Parte
Base Model(s)  Zarablend Mx L2 7B   zarakiquemparte/zarablend-mx-l2-7b
Model Size7b
Required VRAM2.8 GB
Updated2026-03-25
MaintainerTheBloke
Model Typellama
Model Files  2.8 GB   3.6 GB   3.3 GB   3.0 GB   3.8 GB   4.1 GB   3.9 GB   4.7 GB   4.8 GB   4.7 GB   5.5 GB   7.2 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseother

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Zarablend-MX-L2-7B-GGUF.

Rank the Zarablend MX L2 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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