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L2 MythoMax22b Instruct Falseblock GGML by TheBloke

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L2 MythoMax22b Instruct Falseblock GGML is an open-source language model by TheBloke. Features: LLM, VRAM: 9.2GB, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.09.

  Ggml   Instruct   Llama   Llama2   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/L2-MythoMax22b-Instruct-Falseblock-GGML 

L2 MythoMax22b Instruct Falseblock GGML Benchmarks

LLME Score: 0.08741
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
L2 MythoMax22b Instruct Falseblock GGML (TheBloke/L2-MythoMax22b-Instruct-Falseblock-GGML)
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L2 MythoMax22b Instruct Falseblock GGML Parameters and Internals

Model Type 
llama
LLM NameL2 MythoMax22b Instruct Falseblock GGML
Repository 🤗https://huggingface.co/TheBloke/L2-MythoMax22b-Instruct-Falseblock-GGML 
Model NameL2 MythoMax 22B Instruct Falseblock
Model Creatorgrimpep
Base Model(s)  grimpep/L2-MythoMax22b-instruct-Falseblock   grimpep/L2-MythoMax22b-instruct-Falseblock
Required VRAM9.2 GB
Updated2026-05-11
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  9.2 GB   11.6 GB   10.6 GB   9.5 GB   12.3 GB   13.7 GB   13.2 GB   12.3 GB   15.0 GB   16.4 GB   15.5 GB   15.0 GB   17.9 GB   23.1 GB
GGML QuantizationYes
Quantization Typeggml
Model ArchitectureAutoModel
Licensellama2

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/L2-MythoMax22b-Instruct-Falseblock-GGML.

Rank the L2 MythoMax22b Instruct Falseblock GGML 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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