What are the hardware requirements for Laguna XS 2.1 Bf16?

Laguna XS 2.1 Bf16 requires approximately 67.3 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 2.1 Bf16 and how large is it?

Laguna XS 2.1 Bf16 is developed by mlx-community, a model with 33.4b 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 2.1 Bf16?

Laguna XS 2.1 Bf16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Laguna XS 2.1 Bf16 by mlx-community — VRAM 67.3GB, 256K context

Name: Laguna XS 2.1 Bf16
Author: mlx-community

Laguna XS 2.1 Bf16 is an open-source language model by mlx-community. Features: 33.4b LLM, VRAM: 67.3GB, Context: 256K, License: openmdw-1.1, LLM Explorer Score: 0.27.

Base model:finetune:poolside/l... Base model:poolside/laguna-xs-... Conversational Custom code Eval-results Laguna Mlx Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/Laguna-XS-2.1-bf16

Laguna XS 2.1 Bf16 Parameters and Internals

LLM Name	Laguna XS 2.1 Bf16
Repository 🤗	https://huggingface.co/mlx-community/Laguna-XS-2.1-bf16
Base Model(s)	poolside/Laguna-XS-2.1 poolside/Laguna-XS-2.1
Model Size	33.4b
Required VRAM	67.3 GB
Updated	2026-08-10
Maintainer	mlx-community
Model Type	laguna
Model Files	5.1 GB: 1-of-14 5.1 GB: 2-of-14 5.1 GB: 3-of-14 5.1 GB: 4-of-14 5.1 GB: 5-of-14 5.1 GB: 6-of-14 5.1 GB: 7-of-14 5.1 GB: 8-of-14 5.1 GB: 9-of-14 5.1 GB: 10-of-14 5.1 GB: 11-of-14 5.1 GB: 12-of-14 5.1 GB: 13-of-14 1.0 GB: 14-of-14
Model Architecture	LagunaForCausalLM
License	openmdw-1.1
Context Length	262144
Model Max Length	262144
Tokenizer Class	TokenizersBackend
Padding Token	〈\|PAD\|〉
Vocabulary Size	100352

Rank the Laguna XS 2.1 Bf16 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 XS 2.1 Bf16

Best Alternatives	Context / RAM	Downloads	Likes
Laguna XS 2.1	256K / 66.6 GB	29567	194
Laguna XS.2	256K / 66.6 GB	89693	316
Laguna XS 2.1 NVFP4	256K / 21.5 GB	20828	14
Laguna XS 2.1 FP8	256K / 35.2 GB	9664	8
Laguna XS 2.1 NVFP4 Mlx	256K / 21.6 GB	2057	3
Laguna XS.2 FP8	256K / 35.2 GB	564	13
Laguna XS.2 Mxfp8	128K / 34.3 GB	335	2
Laguna XS.2 Nvfp4	128K / 18.9 GB	100	1
Laguna XS 2.1 OptiQ 4bit	256K / 20.9 GB	67	2
Laguna XS.2 4bit	128K / 18.9 GB	356	4

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Laguna-XS-2.1-bf16.