What are the hardware requirements for Aitana 2B SI Instruct?

Aitana 2B SI Instruct requires approximately 4.5 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 Aitana 2B SI Instruct and how large is it?

Aitana 2B SI Instruct is developed by gplsi, 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 Aitana 2B SI Instruct?

Aitana 2B SI Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Aitana 2B SI Instruct by gplsi — VRAM 4.5GB, 8K context

Name: Aitana 2B SI Instruct
Author: gplsi

Aitana 2B SI Instruct is an open-source language model by gplsi. Features: 2b LLM, VRAM: 4.5GB, Context: 8K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.24.

Alia Ca Conversational Dataset:allenai/scifact Dataset:bsc-lt/m-personas Dataset:coherelabs/aya dataset Dataset:databricks/databricks-... Dataset:facebook/flores Dataset:gplsi/boua parallel Dataset:huggingfaceh4/no robot... Dataset:open-orca/openorca Dataset:openai/gsm8k Dataset:openassistant/oasst1 Dataset:openassistant/oasst2 Dataset:projecte-aina/coqcat Dataset:projecte-aina/mentores Dataset:projecte-aina/rag mult... Dataset:somosnlp/instruct-lega... Dataset:somosnlp/lingcomp qa Dataset:tatsu-lab/alpaca Dataset:unbabel/towerblocks-v0... En Endpoints compatible English Es Gplsi Instruct Llama Region:us Safetensors Spanish Valencian

Model Card on HF 🤗: https://huggingface.co/gplsi/Aitana-2B-SI-Instruct

Aitana 2B SI Instruct Parameters and Internals

LLM Name	Aitana 2B SI Instruct
Repository 🤗	https://huggingface.co/gplsi/Aitana-2B-SI-Instruct
Model Size	2b
Required VRAM	4.5 GB
Updated	2026-08-07
Maintainer	gplsi
Model Type	llama
Instruction-Based	Yes
Model Files	4.5 GB
Supported Languages	ca es en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.57.1
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	256000

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Aitana 2B SI Instruct Aligned	8K / 4.5 GB	19	0
Aitana 2B S IP Instruct	8K / 4.5 GB	13	0
Aitana 2B S Instruct Aligned	8K / 6.9 GB	10	0
Salamandra 2B Fft Trenes	8K / 4.5 GB	32	0
SmolLM2 MedIT Upscale 2B	8K / 4.2 GB	6	5
Salamandra 2B Instruct	8K / 4.5 GB	2257	29
Llama3 2B Base	8K / 4.7 GB	8	1