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Laguna M.1 by poolside

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Laguna M.1 is an open-source language model by poolside. Features: 225.8b LLM, VRAM: 214.2GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.42.

  Bf16   Conversational   Custom code   Eval-results   Laguna   Laguna-m.1   Moe   Region:us   Safetensors   Sglang   Sharded   Tensorflow   Vllm
Model Card on HF 🤗: https://huggingface.co/poolside/Laguna-M.1 

Laguna M.1 Benchmarks

LLME Score: 0.4171
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Laguna M.1 (poolside/Laguna-M.1)
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Laguna M.1 Parameters and Internals

LLM NameLaguna M.1
Repository 🤗https://huggingface.co/poolside/Laguna-M.1 
Model Size225.8b
Required VRAM214.2 GB
Updated2026-06-27
Maintainerpoolside
Model Typelaguna
Model Files  5.1 GB: 1-of-89   5.1 GB: 2-of-89   5.1 GB: 3-of-89   5.1 GB: 4-of-89   5.1 GB: 5-of-89   5.1 GB: 6-of-89   5.1 GB: 7-of-89   5.1 GB: 8-of-89   5.1 GB: 9-of-89   5.1 GB: 10-of-89   5.1 GB: 11-of-89   5.1 GB: 12-of-89   5.1 GB: 13-of-89   5.1 GB: 14-of-89   5.1 GB: 15-of-89   5.1 GB: 16-of-89   5.1 GB: 17-of-89   5.1 GB: 18-of-89   5.1 GB: 19-of-89   5.1 GB: 20-of-89   5.1 GB: 21-of-89   5.1 GB: 22-of-89   5.1 GB: 23-of-89   5.1 GB: 24-of-89   5.1 GB: 25-of-89   5.1 GB: 26-of-89   5.1 GB: 27-of-89   5.1 GB: 28-of-89   5.1 GB: 29-of-89   5.1 GB: 30-of-89   5.1 GB: 31-of-89   5.1 GB: 32-of-89   5.1 GB: 33-of-89   5.1 GB: 34-of-89   5.1 GB: 35-of-89   5.1 GB: 36-of-89   5.1 GB: 37-of-89   5.1 GB: 38-of-89   5.1 GB: 39-of-89   5.1 GB: 40-of-89   5.1 GB: 41-of-89   5.1 GB: 42-of-89
Model ArchitectureLagunaForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Vocabulary Size100352
Torch Data Typebfloat16

Rank the Laguna M.1 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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