What are the hardware requirements for Aitana 2B S Tourism Base?

Aitana 2B S Tourism Base 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 Tourism Base and how large is it?

Aitana 2B S Tourism Base 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 Tourism Base?

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

Aitana 2B S Tourism Base by gplsi — VRAM 4.5GB, 8K context

Name: Aitana 2B S Tourism Base
Author: gplsi

Aitana 2B S Tourism Base is an open-source language model by gplsi. Features: 2b LLM, VRAM: 4.5GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.23.

Alia Base model:gplsi/aitana-2b-s-t... Base model:quantized:gplsi/ait... Ca Catalan Dataset:gplsi/alia tourism En Endpoints compatible English Es Gguf Gplsi Llama Quantized Region:us Safetensors Spanish Tourism Valencian

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

Aitana 2B S Tourism Base Benchmarks

LLME Score: 0.23235

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Aitana 2B S Tourism Base (gplsi/Aitana-2B-S-tourism-base)

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Aitana 2B S Tourism Base Parameters and Internals

LLM Name	Aitana 2B S Tourism Base
Repository 🤗	https://huggingface.co/gplsi/Aitana-2B-S-tourism-base
Base Model(s)	Aitana 2B S Tourism Base gplsi/Aitana-2B-S-tourism-base
Model Size	2b
Required VRAM	4.5 GB
Updated	2026-05-30
Maintainer	gplsi
Model Type	llama
Model Files	4.5 GB 4.5 GB
Supported Languages	ca es en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.56.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	256000

Quantized Models of the Aitana 2B S Tourism Base

Model	Likes	Downloads	VRAM
Aitana 2B S Tourism Base	0	167	4 GB

Best Alternatives to Aitana 2B S Tourism Base

Best Alternatives	Context / RAM	Downloads	Likes
HelpingAI2.5 2B	8K / 1.1 GB	70	2
HelpingAI2.5 2B	8K / 1.1 GB	23	2
Veyra2 30M Base 2B Tokens	1K / 0.1 GB	210	0
Llama 2B Hf 32768 Fpf	32K / 3.8 GB	6	1
...icpm 2B Sft Bf16 Llamafied 16K	16K / 6 GB	560	1
Aitana 2B S Base IP 1.0	8K / 4.5 GB	186	0
Salamandra 2B Fft Trenes	8K / 4.5 GB	32	0
SmolLM2 MedIT Upscale 2B	8K / 4.2 GB	13	5
Sarvam 1 V0.5	8K / 5.1 GB	3531	101
Salamandra 2B Instruct	8K / 4.5 GB	2358	28

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

Rank the Aitana 2B S Tourism Base Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a

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Aitana 2B S Tourism Base by gplsi