What are the hardware requirements for Cyberslm 33M Base?

Cyberslm 33M Base requires approximately 0.1 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Cyberslm 33M Base and how large is it?

Cyberslm 33M Base is developed by sabari2005, a model with 33m 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 Cyberslm 33M Base?

Cyberslm 33M Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Cyberslm 33M Base by sabari2005 — VRAM 0.1GB, 4K context

Name: Cyberslm 33M Base
Author: sabari2005

Cyberslm 33M Base is an open-source language model by sabari2005. Features: 33m LLM, VRAM: 0.1GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.28.

Cybersecurity En Endpoints compatible Llama Pretrained Region:us Safetensors Small-language-model

Model Card on HF 🤗: https://huggingface.co/sabari2005/cyberslm-33m-base

Cyberslm 33M Base Parameters and Internals

LLM Name	Cyberslm 33M Base
Repository 🤗	https://huggingface.co/sabari2005/cyberslm-33m-base
Model Size	33m
Required VRAM	0.1 GB
Updated	2026-07-17
Maintainer	sabari2005
Model Type	llama
Model Files	0.1 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.57.6
Tokenizer Class	LlamaTokenizer
Padding Token	<pad>
Vocabulary Size	32000

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Instruction Following and Task Automation
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Multi-Language Support and Translation

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