Laguna Xs2 Dense K8 Cuda Sft by EvanOLeary

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Laguna Xs2 Dense K8 Cuda Sft is an open-source language model by EvanOLeary. Features: 3b LLM, VRAM: 6GB, Context: 256K, License: apache-2.0, MoE, LLM Explorer Score: 0.31.

Base model:finetune:poolside/l... Base model:poolside/laguna-xs....   Code   Conversational   Cuda   Custom code   Densification   En   Endpoints compatible   Kernels   Laguna   Laguna dense   Moe   Moe-to-dense   Region:us   Safetensors   Sft

Laguna Xs2 Dense K8 Cuda Sft Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Laguna Xs2 Dense K8 Cuda Sft Parameters and Internals

LLM NameLaguna Xs2 Dense K8 Cuda Sft
Repository 🤗https://huggingface.co/EvanOLeary/laguna-xs2-dense-k8-cuda-sft 
Base Model(s)  poolside/Laguna-XS.2   poolside/Laguna-XS.2
Model Size3b
Required VRAM6 GB
Updated2026-05-31
MaintainerEvanOLeary
Model Typelaguna_dense
Model Files  6.0 GB
Supported Languagesen
Model ArchitectureLagunaForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Transformers Version5.9.0
Tokenizer ClassTokenizersBackend
Padding Token〈|PAD|〉
Vocabulary Size100352

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Release v20260328a