What are the hardware requirements for Stentor 30M Instruct Heretic Safety Defiltered?

Stentor 30M Instruct Heretic Safety Defiltered requires approximately 0.1 GB of VRAM and supports a context window of 0.5K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Stentor 30M Instruct Heretic Safety Defiltered and how large is it?

Stentor 30M Instruct Heretic Safety Defiltered is developed by MihaiPopa-1, a model with 30m 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 Stentor 30M Instruct Heretic Safety Defiltered?

Stentor 30M Instruct Heretic Safety Defiltered is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Stentor 30M Instruct Heretic Safety Defiltered by MihaiPopa-1 — VRAM 0.1GB, 0.5K context

Name: Stentor 30M Instruct Heretic Safety Defiltered
Author: MihaiPopa-1

Stentor 30M Instruct Heretic Safety Defiltered is an open-source language model by MihaiPopa-1. Features: 30m LLM, VRAM: 0.1GB, Context: 0.5K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.22.

30m-parameters Abliterated Base model:adapter:stentorlabs... Base model:stentorlabs/stentor... Beavertails Chat Conversational Dataset:amazonscience/falserej... Dataset:databricks/databricks-... Dataset:pku-alignment/beaverta... Decensored Defiltered Dolly Edge-deployment Efficient En Endpoints compatible Heretic Instruct Instruction-following Llama Lora Model-index Peft Region:us Safetensors Safety-defiltered Safety-tuning Small-language-model Tiny-model Uncensored

Model Card on HF 🤗: https://huggingface.co/MihaiPopa-1/Stentor-30M-Instruct-heretic-safety-defiltered

Stentor 30M Instruct Heretic Safety Defiltered Parameters and Internals

LLM Name	Stentor 30M Instruct Heretic Safety Defiltered
Repository 🤗	https://huggingface.co/MihaiPopa-1/Stentor-30M-Instruct-heretic-safety-defiltered
Base Model(s)	StentorLabs/Stentor-30M-Instruct StentorLabs/Stentor-30M-Instruct
Model Size	30m
Required VRAM	0.1 GB
Updated	2026-08-05
Maintainer	MihaiPopa-1
Model Type	llama
Instruction-Based	Yes
Model Files	0.1 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	512
Model Max Length	512
Transformers Version	5.2.0
Tokenizer Class	TokenizersBackend
Padding Token	</s>
Vocabulary Size	32768

Rank the Stentor 30M Instruct Heretic Safety Defiltered 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
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Multi-Language Support and Translation

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