What are the hardware requirements for SigmaBoi Base?

SigmaBoi Base requires approximately 5.9 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 SigmaBoi Base and how large is it?

SigmaBoi Base is developed by tinycompany, a model with 3b 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 SigmaBoi Base?

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

SigmaBoi Base by tinycompany — VRAM 5.9GB, 32K context

Name: SigmaBoi Base
Author: tinycompany

SigmaBoi Base is an open-source language model by tinycompany. Features: 3b LLM, VRAM: 5.9GB, Context: 32K, License: mit, LLM Explorer Score: 0.21.

Arxiv:1910.09700 Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/tinycompany/SigmaBoi-base

SigmaBoi Base Parameters and Internals

LLM Name	SigmaBoi Base
Repository 🤗	https://huggingface.co/tinycompany/SigmaBoi-base
Model Size	3b
Required VRAM	5.9 GB
Updated	2026-07-08
Maintainer	tinycompany
Model Type	qwen2
Model Files	5.0 GB: 1-of-2 0.9 GB: 2-of-2
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.47.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	81920
Torch Data Type	bfloat16

Rank the SigmaBoi Base 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

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Note: green Score (e.g. "73.2") means that the model is better than tinycompany/SigmaBoi-base.