What are the hardware requirements for Merlyn Education Safety AWQ?

Merlyn Education Safety AWQ requires approximately 6.9 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 AWQ and how large is it?

Merlyn Education Safety AWQ is developed by TheBloke, a model with 12b parameters. 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 AWQ?

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

Merlyn Education Safety AWQ by TheBloke — VRAM 6.9GB, 2K context

Name: Merlyn Education Safety AWQ
Author: TheBloke

Merlyn Education Safety AWQ is an open-source language model by TheBloke. Features: 12b LLM, VRAM: 6.9GB, Context: 2K, License: apache-2.0, Quantized, LLM Explorer Score: 0.1.

4-bit Awq Base model:merlynmind/merlyn-e... Base model:quantized:merlynmin... Education Gpt neox Merlynmind Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/TheBloke/merlyn-education-safety-AWQ

Merlyn Education Safety AWQ Parameters and Internals

Model Type

gptneox

Use Cases

Primary Use Cases:

Classifying queries as appropriate or inappropriate for in-classroom discussion, Used as part of a larger educational AI assistant

Training Details

Methodology:

Fine-tuned from pythia-12b

Model Architecture:

Decoder-style transformer

LLM Name	Merlyn Education Safety AWQ
Repository 🤗	https://huggingface.co/TheBloke/merlyn-education-safety-AWQ
Model Name	Merlyn Education Safety 12B
Model Creator	Merlyn Mind
Base Model(s)	Merlyn Education Safety MerlynMind/merlyn-education-safety
Model Size	12b
Required VRAM	6.9 GB
Updated	2026-07-28
Maintainer	TheBloke
Model Type	gpt_neox
Model Files	6.9 GB
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	GPTNeoXForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.35.0
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50688
Torch Data Type	float16

Rank the Merlyn Education Safety AWQ capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Merlyn Education Safety AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Dolly V2 12B Sharded 8bit	2K / 12.4 GB	5	4
Dolly V2 12B	2K / 23.8 GB	3283	1955
...sst Sft 4 Pythia 12B Epoch 3.5	2K / 23.8 GB	818	368
Pythia 12B	2K / 23.8 GB	147000	145
Oasst Rl 1 Pythia 12B	2K / 23.8 GB	10	4
...st Sft 3 Pythia 12B Epoch 2.35	2K / 23.8 GB	10	0
...Int4 Step107000 GPTQ Wikitext2	2K / 6.9 GB	8	0
... Int3 Step71000 GPTQ Wikitext2	2K / 5.5 GB	5	0
... Int4 Step36000 GPTQ Wikitext2	2K / 6.9 GB	6	0
Pythia 12B Deduped	2K / 23.8 GB	4172	53

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/merlyn-education-safety-AWQ.