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Merlyn Education Safety by MerlynMind

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Merlyn Education Safety is an open-source language model by MerlynMind. Features: LLM, VRAM: 47.6GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.08.

  Autotrain compatible   Education   Gpt neox   Merlynmind   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/MerlynMind/merlyn-education-safety 

Merlyn Education Safety Benchmarks

LLME Score: 0.08107
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Merlyn Education Safety (MerlynMind/merlyn-education-safety)
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Merlyn Education Safety Parameters and Internals

Model Type 
decoder-style transformer
Input Output 
Input Format:
Instruction, Message
Accepted Modalities:
text
Output Format:
'appropriate' or 'inappropriate'
Performance Tips:
For smaller GPUs, use multiple GPUs or reduce model precision using model.half()
LLM NameMerlyn Education Safety
Repository 🤗https://huggingface.co/MerlynMind/merlyn-education-safety 
Required VRAM47.6 GB
Updated2025-09-23
MaintainerMerlynMind
Model Typegpt_neox
Model Files  9.9 GB: 1-of-5   9.7 GB: 2-of-5   9.7 GB: 3-of-5   10.0 GB: 4-of-5   8.3 GB: 5-of-5
Model ArchitectureGPTNeoXForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.30.0.dev0
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50688
Torch Data Typefloat32

Quantized Models of the Merlyn Education Safety

Model
Likes
Downloads
VRAM
Merlyn Education Safety GGUF12454 GB
Merlyn Education Safety GPTQ376 GB
Merlyn Education Safety AWQ01036 GB

Best Alternatives to Merlyn Education Safety

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...Prover 14final Checkpoint 58304K / 14.9 GB50
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Open Calm Large2K / 1.8 GB84010
MonoCoder OMP2K / 3.6 GB270
ProofGPT V0.12K / 2.9 GB8513
Open Calm Small2K / 0.4 GB458020
KULLM RLHF2K / 25.8 GB33
Step3 Mk72K / 25.8 GB60
Note: green Score (e.g. "73.2") means that the model is better than MerlynMind/merlyn-education-safety.

Rank the Merlyn Education Safety Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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