What are the hardware requirements for Sgc 522M Base?

Sgc 522M Base requires approximately 1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Sgc 522M Base and how large is it?

Sgc 522M Base is developed by iaroy, a model with 522m 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 Sgc 522M Base?

Sgc 522M Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Sgc 522M Base by iaroy — VRAM 1GB, 32K context

Name: Sgc 522M Base
Author: iaroy

Sgc 522M Base is an open-source language model by iaroy. Features: 522m LLM, VRAM: 1GB, Context: 32K, LLM Explorer Score: 0.32.

Code Cpp Custom code Dataset:iaroy/sgc-data Fill-in-the-middle Python Region:us Safetensors Sgc

Model Card on HF 🤗: https://huggingface.co/iaroy/sgc-522m-base

Sgc 522M Base Parameters and Internals

LLM Name	Sgc 522M Base
Repository 🤗	https://huggingface.co/iaroy/sgc-522m-base
Model Size	522m
Required VRAM	1 GB
Updated	2026-11-03
Maintainer	iaroy
Model Type	sgc
Model Files	1.0 GB
Model Architecture	SgcForCausalLM
Context Length	32768
Model Max Length	32768
Tokenizer Class	TokenizersBackend
Vocabulary Size	32768

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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 Sgc 522M Base

Best Alternatives	Context / RAM	Downloads	Likes
Sgc 522M Sft	32K / 1 GB	410	0