What are the hardware requirements for Laguna S 2.1 INT4?

Laguna S 2.1 INT4 requires approximately 100.2 GB of VRAM and supports a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Laguna S 2.1 INT4 and how large is it?

Laguna S 2.1 INT4 is developed by poolside, a model with 117.6b 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 S 2.1 INT4?

Laguna S 2.1 INT4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Laguna S 2.1 INT4 by poolside — VRAM 100.2GB, 1024K context

Name: Laguna S 2.1 INT4
Author: poolside

Laguna S 2.1 INT4 is an open-source language model by poolside. Features: 117.6b LLM, VRAM: 100.2GB, Context: 1024K, License: openmdw-1.1, LLM Explorer Score: 0.38.

Base model:poolside/laguna-s-2... Base model:quantized:poolside/... Compressed-tensors Conversational Custom code Laguna Laguna-s-2.1 Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/poolside/Laguna-S-2.1-INT4

Laguna S 2.1 INT4 Parameters and Internals

LLM Name	Laguna S 2.1 INT4
Repository 🤗	https://huggingface.co/poolside/Laguna-S-2.1-INT4
Base Model(s)	poolside/Laguna-S-2.1 poolside/Laguna-S-2.1
Model Size	117.6b
Required VRAM	100.2 GB
Updated	2026-08-08
Maintainer	poolside
Model Type	laguna
Model Files	5.3 GB: 1-of-19 5.4 GB: 2-of-19 5.4 GB: 3-of-19 5.4 GB: 4-of-19 5.4 GB: 5-of-19 5.4 GB: 6-of-19 5.4 GB: 7-of-19 5.4 GB: 8-of-19 5.4 GB: 9-of-19 5.4 GB: 10-of-19 5.4 GB: 11-of-19 5.4 GB: 12-of-19 5.4 GB: 13-of-19 5.4 GB: 14-of-19 5.4 GB: 15-of-19 5.4 GB: 16-of-19 5.4 GB: 17-of-19 5.4 GB: 18-of-19 3.1 GB: 19-of-19
Model Architecture	LagunaForCausalLM
License	openmdw-1.1
Context Length	1048576
Model Max Length	1048576
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	〈\|PAD\|〉
Vocabulary Size	100352
Torch Data Type	bfloat16

Rank the Laguna S 2.1 INT4 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 Laguna S 2.1 INT4

Best Alternatives	Context / RAM	Downloads	Likes
Laguna S 2.1	1024K / 214.2 GB	56445	708
Laguna S 2.1 FP8	1024K / 116.8 GB	53942	26
Laguna S 2.1	1024K / 214.2 GB	569	7
Laguna S 2.1 Heretic	1024K / 219.3 GB	45	0
Laguna S 2.1 OptiQ 2bit	1024K / 44.2 GB	380	2
Laguna S 2.1 MLX 4bit	1024K / 65.8 GB	493	3
Laguna S 2.1 MLX 6bit	1024K / 95.4 GB	457	2
Laguna S 2.1 AWQ INT4	1024K / 78.2 GB	533	4

Note: green Score (e.g. "73.2") means that the model is better than poolside/Laguna-S-2.1-INT4.