What are the hardware requirements for Aitana 7B S Base 1.0?

Aitana 7B S Base 1.0 requires approximately 15.6 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 7B S Base 1.0 and how large is it?

Aitana 7B S Base 1.0 is developed by gplsi, a model with 7b 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 7B S Base 1.0?

Aitana 7B S Base 1.0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Aitana 7B S Base 1.0 by gplsi — VRAM 15.6GB, 8K context

Name: Aitana 7B S Base 1.0
Author: gplsi

Aitana 7B S Base 1.0 is an open-source language model by gplsi. Features: 7b LLM, VRAM: 15.6GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.24.

Alia Base model:bsc-lt/salamandra-7... Base model:finetune:bsc-lt/sal... Ca Catalan Dataset:gplsi/alia amic Dataset:gplsi/alia boua Dataset:gplsi/alia dogv Dataset:gplsi/alia les corts Dataset:gplsi/alia tourism En Endpoints compatible English Es Gplsi Llama Region:us Safetensors Sharded Spanish Tensorflow Valencian

Model Card on HF 🤗: https://huggingface.co/gplsi/Aitana-7B-S-base-1.0

Aitana 7B S Base 1.0 Parameters and Internals

LLM Name	Aitana 7B S Base 1.0
Repository 🤗	https://huggingface.co/gplsi/Aitana-7B-S-base-1.0
Base Model(s)	Salamandra 7B BSC-LT/salamandra-7b
Model Size	7b
Required VRAM	15.6 GB
Updated	2026-05-11
Maintainer	gplsi
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 3.5 GB: 3-of-4 2.1 GB: 4-of-4
Supported Languages	ca es en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Aitana 7B S Base 1.0 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

Best Alternatives to Aitana 7B S Base 1.0

Best Alternatives	Context / RAM	Downloads
124	1024K / 16.1 GB	93
162	1024K / 16.1 GB	60
157	1024K / 16.1 GB	101
118	1024K / 16.1 GB	15
A5.4	1024K / 16.1 GB	12
A3.4	1024K / 16.1 GB	13
A2.4	1024K / 16.1 GB	12
A6 L	1024K / 16.1 GB	201
M	1024K / 16.1 GB	127
2 Very Sci Fi	1024K / 16.1 GB	317