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Laguna XS 2.1 OptiQ 4bit by mlx-community

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Laguna XS 2.1 OptiQ 4bit is an open-source language model by mlx-community. Features: 33.4b LLM, VRAM: 20.9GB, Context: 256K, License: openmdw-1.1, Quantized, LLM Explorer Score: 0.32.

  4-bit   4bit   Apple-silicon Base model:poolside/laguna-xs-... Base model:quantized:poolside/...   Conversational   Custom code   Laguna   Laguna-xs-2.1   Mixed-precision   Mlx   Optiq   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/Laguna-XS-2.1-OptiQ-4bit 

Laguna XS 2.1 OptiQ 4bit Benchmarks

LLME Score: 0.31799
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Laguna XS 2.1 OptiQ 4bit (mlx-community/Laguna-XS-2.1-OptiQ-4bit)

Laguna XS 2.1 OptiQ 4bit Parameters and Internals

LLM NameLaguna XS 2.1 OptiQ 4bit
Repository 🤗https://huggingface.co/mlx-community/Laguna-XS-2.1-OptiQ-4bit 
Base Model(s)  poolside/Laguna-XS-2.1   poolside/Laguna-XS-2.1
Model Size33.4b
Required VRAM20.9 GB
Updated2026-08-01
Maintainermlx-community
Model Typelaguna
Model Files  5.2 GB: 1-of-4   5.3 GB: 2-of-4   5.3 GB: 3-of-4   5.1 GB: 4-of-4
Quantization Type4bit
Model ArchitectureLagunaForCausalLM
Licenseopenmdw-1.1
Context Length262144
Model Max Length262144
Tokenizer ClassTokenizersBackend
Padding Token〈|PAD|〉
Vocabulary Size100352
Torch Data Typebfloat16

Best Alternatives to Laguna XS 2.1 OptiQ 4bit

Best Alternatives
Context / RAM
Downloads
Likes
Laguna XS.2 4bit128K / 18.9 GB3564
Laguna XS 2.1256K / 66.6 GB29567194
Laguna XS.2256K / 66.6 GB89693316
Laguna XS.2 Mxfp8128K / 34.3 GB3612
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Laguna-XS-2.1-OptiQ-4bit.

Rank the Laguna XS 2.1 OptiQ 4bit 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  

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