What are the hardware requirements for Sovereign Anthology Gemma 2 2B?

Sovereign Anthology Gemma 2 2B requires approximately 6.4 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Sovereign Anthology Gemma 2 2B and how large is it?

Sovereign Anthology Gemma 2 2B is developed by KolmogorovAcc, a model with 2b 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 Sovereign Anthology Gemma 2 2B?

Sovereign Anthology Gemma 2 2B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Sovereign Anthology Gemma 2 2B by KolmogorovAcc — VRAM 6.4GB, 8K context

Name: Sovereign Anthology Gemma 2 2B
Author: KolmogorovAcc

Sovereign Anthology Gemma 2 2B is an open-source language model by KolmogorovAcc. Features: 2b LLM, VRAM: 6.4GB, Context: 8K, License: gemma, Quantized, LLM Explorer Score: 0.34.

Ach Analysis-of-competing-hypothes... Antigravity Base model:google/gemma-2-2b-i... Base model:quantized:google/ge... Conversational Directml Distillation En Endpoints compatible Gemma-2 Gemma2 Gguf Intelligence Palantir Q4 Quantized Region:us Safetensors Sharded Sovereign Tensorflow Tradecraft

Model Card on HF 🤗: https://huggingface.co/KolmogorovAcc/sovereign-anthology-gemma-2-2b

Sovereign Anthology Gemma 2 2B Parameters and Internals

LLM Name	Sovereign Anthology Gemma 2 2B
Repository 🤗	https://huggingface.co/KolmogorovAcc/sovereign-anthology-gemma-2-2b
Base Model(s)	Gemma 2 2B It google/gemma-2-2b-it
Model Size	2b
Required VRAM	6.4 GB
Updated	2026-09-23
Maintainer	KolmogorovAcc
Model Type	gemma2
Model Files	5.0 GB: 1-of-2 1.4 GB: 2-of-2 5.2 GB 1.7 GB 5.2 GB 1.7 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|q4_k
Model Architecture	Gemma2ForCausalLM
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.47.1
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float16

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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

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