What are the hardware requirements for GPT S2 5M?

GPT S2 5M requires a context window of 0.5K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed GPT S2 5M and how large is it?

GPT S2 5M is developed by AxiomicLabs, a model with 5m 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 GPT S2 5M?

GPT S2 5M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GPT S2 5M by AxiomicLabs — 0.5K context

Name: GPT S2 5M
Rating: 3.33 (3 reviews)
Author: AxiomicLabs

GPT S2 5M is an open-source language model by AxiomicLabs. Features: 5m LLM, Context: 0.5K, License: apache-2.0, LLM Explorer Score: 0.27.

Custom-architecture Custom-tokenizer Custom code En Gpts3 Gqa Language-model Region:us Rope Safetensors Swiglu Xsa Xsa-refresh

Model Card on HF 🤗: https://huggingface.co/AxiomicLabs/GPT-S2-5M

GPT S2 5M Parameters and Internals

LLM Name	GPT S2 5M
Repository 🤗	https://huggingface.co/AxiomicLabs/GPT-S2-5M
Model Size	5m
Required VRAM	0 GB
Updated	2026-09-25
Maintainer	AxiomicLabs
Model Type	gpts3
Model Files	0.0 GB
Supported Languages	en
Model Architecture	GPTS3ForCausalLM
License	apache-2.0
Context Length	512
Model Max Length	512
Transformers Version	5.5.3
Is Biased	0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<eos>
Vocabulary Size	4096

Rank the GPT S2 5M 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
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation