What are the hardware requirements for Aitana 2B S IP Instruct?

Aitana 2B S IP 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 S IP Instruct and how large is it?

Aitana 2B S IP 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 S IP Instruct?

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

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

Name: Aitana 2B S IP Instruct
Author: gplsi

Aitana 2B S IP 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 Base model:finetune:gplsi/aita... Base model:gplsi/aitana-2b-s-i... 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:lipengcs/table-gpt Dataset:open-orca/openorca Dataset:openai/gsm8k Dataset:openassistant/oasst2 Dataset:projecte-aina/coqcat Dataset:projecte-aina/escagleu... Dataset:projecte-aina/instruca... Dataset:projecte-aina/mentores Dataset:projecte-aina/nlucat Dataset:projecte-aina/oasst1 c... Dataset:projecte-aina/rag mult... Dataset:somosnlp-hackathon-202... Dataset:somosnlp/instruct-lega... Dataset:somosnlp/lingcomp qa Dataset:unbabel/towerblocks-v0... Dataset:yahma/alpaca-cleaned En Endpoints compatible English Es Gplsi Instruct Intellectual-property Llama Region:us Safetensors Spanish Valencian

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

Aitana 2B S IP Instruct Parameters and Internals

LLM Name	Aitana 2B S IP Instruct
Repository 🤗	https://huggingface.co/gplsi/Aitana-2B-S-IP-Instruct
Base Model(s)	Aitana 2B S IP Base gplsi/Aitana-2B-S-IP-base
Model Size	2b
Required VRAM	4.5 GB
Updated	2026-08-04
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

Rank the Aitana 2B S IP Instruct 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

Best Alternatives to Aitana 2B S IP Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Aitana 2B SI Instruct	8K / 4.5 GB	52	0
Aitana 2B SI Instruct Aligned	8K / 4.5 GB	19	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	2694	29
Llama3 2B Base	8K / 4.7 GB	8	1

Note: green Score (e.g. "73.2") means that the model is better than gplsi/Aitana-2B-S-IP-Instruct.