What are the hardware requirements for ALIA Es Biomedical 7B Base?

ALIA Es Biomedical 7B Base 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 ALIA Es Biomedical 7B Base and how large is it?

ALIA Es Biomedical 7B Base is developed by SINAI, 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 ALIA Es Biomedical 7B Base?

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

ALIA Es Biomedical 7B Base by SINAI — VRAM 15.6GB, 8K context

Name: ALIA Es Biomedical 7B Base
Author: SINAI

ALIA Es Biomedical 7B Base is an open-source language model by SINAI. Features: 7b LLM, VRAM: 15.6GB, Context: 8K, License: apache-2.0.

Arxiv:2502.08489 Base model:bsc-lt/salamandra-7... Base model:finetune:bsc-lt/sal... Biomedical Clinical Dataset:sinai/alia-es-biomedic... Es Llama Region:us Safetensors Sharded Spanish Tensorflow

Model Card on HF 🤗: https://huggingface.co/SINAI/ALIA-es-biomedical-7B-Base

ALIA Es Biomedical 7B Base Parameters and Internals

LLM Name	ALIA Es Biomedical 7B Base
Repository 🤗	https://huggingface.co/SINAI/ALIA-es-biomedical-7B-Base
Base Model(s)	Salamandra 7B BSC-LT/salamandra-7b
Model Size	7b
Required VRAM	15.6 GB
Updated	2026-11-04
Maintainer	SINAI
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	es
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.55.2
Tokenizer Class	LlamaTokenizer
Padding Token	<pad>
Vocabulary Size	256001
Torch Data Type	bfloat16

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Note: green Score (e.g. "73.2") means that the model is better than SINAI/ALIA-es-biomedical-7B-Base.