Laguna S 2.1 NVFP4 W4A16 Quality by jackzampolin

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Laguna S 2.1 NVFP4 W4A16 Quality is an open-source language model by jackzampolin. Features: 70.5b LLM, VRAM: 92.5GB, Context: 1024K, License: openmdw-1.1, LLM Explorer Score: 0.34.

  8-bit Base model:poolside/laguna-s-2... Base model:quantized:poolside/...   Conversational   Custom code   Endpoints compatible   Fp8   Laguna   Modelopt   Nvfp4   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Vllm   W4a16

Laguna S 2.1 NVFP4 W4A16 Quality Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Laguna S 2.1 NVFP4 W4A16 Quality (jackzampolin/Laguna-S-2.1-NVFP4-W4A16-Quality)

Laguna S 2.1 NVFP4 W4A16 Quality Parameters and Internals

LLM NameLaguna S 2.1 NVFP4 W4A16 Quality
Repository 🤗https://huggingface.co/jackzampolin/Laguna-S-2.1-NVFP4-W4A16-Quality 
Base Model(s)  poolside/Laguna-S-2.1   poolside/Laguna-S-2.1
Model Size70.5b
Required VRAM92.5 GB
Updated2026-07-23
Maintainerjackzampolin
Model Typelaguna
Model Files  10.0 GB: 1-of-10   10.0 GB: 2-of-10   10.0 GB: 3-of-10   10.0 GB: 4-of-10   10.0 GB: 5-of-10   10.0 GB: 6-of-10   10.0 GB: 7-of-10   10.0 GB: 8-of-10   10.0 GB: 9-of-10   2.5 GB: 10-of-10
Model ArchitectureLagunaForCausalLM
Licenseopenmdw-1.1
Context Length1048576
Model Max Length1048576
Transformers Version5.14.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token〈|PAD|〉
Vocabulary Size100352

Rank the Laguna S 2.1 NVFP4 W4A16 Quality 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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Release v20260328a