Merlyn Education Corpus Qa V2 GGUF by TheBloke

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Base model:merlynmind/merlyn-e... Base model:quantized:merlynmin...   Education   Gguf   Llama   Merlynmind   Quantized   Region:us

Merlyn Education Corpus Qa V2 GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Merlyn Education Corpus Qa V2 GGUF (TheBloke/merlyn-education-corpus-qa-v2-GGUF)

Merlyn Education Corpus Qa V2 GGUF Parameters and Internals

Model Type 
decoder-style transformer, text generation
Use Cases 
Areas:
education
Primary Use Cases:
answering questions based on context
Additional Notes 
Provides answers to questions based on given context. Quantized using GGUF format with various quantization methods available for different use cases.
Training Details 
Methodology:
fine-tuning from llama2-13b
LLM NameMerlyn Education Corpus Qa V2 GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/merlyn-education-corpus-qa-v2-GGUF 
Model NameMerlyn Education Corpus QA v2
Model CreatorMerlyn Mind
Base Model(s)  Merlyn Education Corpus Qa V2   MerlynMind/merlyn-education-corpus-qa-v2
Required VRAM5.4 GB
Updated2025-02-23
MaintainerTheBloke
Model Typellama
Model Files  5.4 GB   6.9 GB   6.3 GB   5.7 GB   7.4 GB   7.9 GB   7.4 GB   9.0 GB   9.2 GB   9.0 GB   10.7 GB   13.8 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/merlyn-education-corpus-qa-v2-GGUF.

Rank the Merlyn Education Corpus Qa V2 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 v20241227