What are the hardware requirements for Aitana 7B S Instruct V0.1?

Aitana 7B S Instruct V0.1 requires approximately 15.5 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 7B S Instruct V0.1 and how large is it?

Aitana 7B S Instruct V0.1 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 Instruct V0.1?

Aitana 7B S Instruct V0.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Aitana 7B S Instruct V0.1 by gplsi — VRAM 15.5GB, 8K context

Name: Aitana 7B S Instruct V0.1
Author: gplsi

Aitana 7B S Instruct V0.1 is an open-source language model by gplsi. Features: 7b LLM, VRAM: 15.5GB, Context: 8K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.23.

Alia Base model:finetune:gplsi/aita... Base model:gplsi/aitana-7b-s-b... Ca Catalan 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-7B-S-Instruct-v0.1

Aitana 7B S Instruct V0.1 Parameters and Internals

LLM Name	Aitana 7B S Instruct V0.1
Repository 🤗	https://huggingface.co/gplsi/Aitana-7B-S-Instruct-v0.1
Base Model(s)	gplsi/Aitana-7B-S-base-1.0 gplsi/Aitana-7B-S-base-1.0
Model Size	7b
Required VRAM	15.5 GB
Updated	2026-05-25
Maintainer	gplsi
Model Type	llama
Instruction-Based	Yes
Model Files	15.5 GB
Supported Languages	ca es en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	5.3.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	256000

Rank the Aitana 7B S Instruct V0.1 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 7B S Instruct V0.1

Best Alternatives	Context / RAM	Downloads	Likes
124	1024K / 16.1 GB	93	0
A5.4	1024K / 16.1 GB	12	0
A3.4	1024K / 16.1 GB	13	0
A2.4	1024K / 16.1 GB	12	0
... Qwen2.5llamaify 7B V23.1 200K	195K / 15.2 GB	29	5
Salamandra 7B Instruct 2606	160K / 15.6 GB	769	3
SuperNeuralDreadDevil 8B	128K / 16.1 GB	23	1
Falcon3 7B Instruct	32K / 14.8 GB	11749	80
Falcon3 Jessi V0.4 7B Slerp	32K / 14.9 GB	34	9
Jessi V0.4 Falcon3 7B Instruct	32K / 14.8 GB	22	0

Note: green Score (e.g. "73.2") means that the model is better than gplsi/Aitana-7B-S-Instruct-v0.1.