What are the hardware requirements for Merlyn Education Safety?

Merlyn Education Safety requires approximately 47.6 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Merlyn Education Safety and how large is it?

Merlyn Education Safety is developed by MerlynMind. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Merlyn Education Safety?

Merlyn Education Safety is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Merlyn Education Safety by MerlynMind — VRAM 47.6GB, 2K context

Name: Merlyn Education Safety
Author: MerlynMind

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.

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: 0.07849

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

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 Name	Merlyn Education Safety
Repository 🤗	https://huggingface.co/MerlynMind/merlyn-education-safety
Required VRAM	47.6 GB
Updated	2026-05-23
Maintainer	MerlynMind
Model Type	gpt_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 Architecture	GPTNeoXForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.30.0.dev0
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50688
Torch Data Type	float32

Quantized Models of the Merlyn Education Safety

Model	Likes	Downloads	VRAM
Merlyn Education Safety AWQ	0	33619	6 GB
Merlyn Education Safety GGUF	1	241	4 GB
Merlyn Education Safety GPTQ	3	13	6 GB

Best Alternatives to Merlyn Education Safety

Best Alternatives	Context / RAM	Downloads	Likes
Catlm	8K / 7.8 GB	726	4
...Prover 14final Checkpoint 5830	4K / 14.9 GB	8	0
Neox Musenet Untrained	4K / 7.3 GB	5	0
Stabillm Instruct De	4K / 31.8 GB	7	0
Open Calm Large	2K / 1.8 GB	1079	10
ProofGPT V0.1	2K / 2.9 GB	2782	3
MonoCoder OMP	2K / 3.6 GB	32	0
KULLM RLHF	2K / 25.8 GB	6	3
Step3 Mk7	2K / 25.8 GB	7	0
Open Calm Small	2K / 0.4 GB	1777	20

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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Release v20260328a

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Merlyn Education Safety by MerlynMind