What are the hardware requirements for Laguna XS.2 INT4?

Laguna XS.2 INT4 requires approximately 23.8 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Laguna XS.2 INT4 and how large is it?

Laguna XS.2 INT4 is developed by poolside, a model with 40.9b 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 Laguna XS.2 INT4?

Laguna XS.2 INT4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Laguna XS.2 INT4 by poolside — VRAM 23.8GB, 256K context

Name: Laguna XS.2 INT4
Author: poolside

Laguna XS.2 INT4 is an open-source language model by poolside. Features: 40.9b LLM, VRAM: 23.8GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.26.

Base model:poolside/laguna-xs.... Base model:quantized:poolside/... Compressed-tensors Conversational Custom code Laguna Laguna-xs.2 Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/poolside/Laguna-XS.2-INT4

Laguna XS.2 INT4 Parameters and Internals

LLM Name	Laguna XS.2 INT4
Repository 🤗	https://huggingface.co/poolside/Laguna-XS.2-INT4
Base Model(s)	poolside/Laguna-XS.2 poolside/Laguna-XS.2
Model Size	40.9b
Required VRAM	23.8 GB
Updated	2026-08-08
Maintainer	poolside
Model Type	laguna
Model Files	5.1 GB: 1-of-5 5.1 GB: 2-of-5 5.1 GB: 3-of-5 5.1 GB: 4-of-5 3.4 GB: 5-of-5
Model Architecture	LagunaForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	〈\|PAD\|〉
Vocabulary Size	100352
Torch Data Type	bfloat16

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Instruction Following and Task Automation
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