What are the hardware requirements for Laguna Xs2 Dense K8 Cuda Sft V2?

Laguna Xs2 Dense K8 Cuda Sft V2 requires approximately 6 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 Xs2 Dense K8 Cuda Sft V2 and how large is it?

Laguna Xs2 Dense K8 Cuda Sft V2 is developed by EvanOLeary, a model with 3b 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 Xs2 Dense K8 Cuda Sft V2?

Laguna Xs2 Dense K8 Cuda Sft V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Laguna Xs2 Dense K8 Cuda Sft V2 by EvanOLeary — VRAM 6GB, 256K context

Name: Laguna Xs2 Dense K8 Cuda Sft V2
Author: EvanOLeary

Laguna Xs2 Dense K8 Cuda Sft V2 is an open-source language model by EvanOLeary. Features: 3b LLM, VRAM: 6GB, Context: 256K, License: apache-2.0, MoE, LLM Explorer Score: 0.28.

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

Model Card on HF 🤗: https://huggingface.co/EvanOLeary/laguna-xs2-dense-k8-cuda-sft-v2

Laguna Xs2 Dense K8 Cuda Sft V2 Benchmarks

LLME Score: 0.27878

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

What is the LLM Explorer Rank (Score)

Laguna Xs2 Dense K8 Cuda Sft V2 (EvanOLeary/laguna-xs2-dense-k8-cuda-sft-v2)

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Laguna Xs2 Dense K8 Cuda Sft V2 Parameters and Internals

LLM Name	Laguna Xs2 Dense K8 Cuda Sft V2
Repository 🤗	https://huggingface.co/EvanOLeary/laguna-xs2-dense-k8-cuda-sft-v2
Base Model(s)	Laguna Xs2 Dense K8 Cuda Sft EvanOLeary/laguna-xs2-dense-k8-cuda-sft
Model Size	3b
Required VRAM	6 GB
Updated	2026-05-31
Maintainer	EvanOLeary
Model Type	laguna_dense
Model Files	6.0 GB
Supported Languages	en
Model Architecture	LagunaForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.9.0
Tokenizer Class	TokenizersBackend
Padding Token	〈\|PAD\|〉
Vocabulary Size	100352

Best Alternatives to Laguna Xs2 Dense K8 Cuda Sft V2

Best Alternatives	Context / RAM	Downloads	Likes
Laguna Xs2 Dense K8 Cuda Sft	256K / 6 GB	198	0

Note: green Score (e.g. "73.2") means that the model is better than EvanOLeary/laguna-xs2-dense-k8-cuda-sft-v2.

Rank the Laguna Xs2 Dense K8 Cuda Sft V2 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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Laguna Xs2 Dense K8 Cuda Sft V2 by EvanOLeary

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Laguna Xs2 Dense K8 Cuda Sft V2 Benchmarks

Laguna Xs2 Dense K8 Cuda Sft V2 Parameters and Internals

Best Alternatives to Laguna Xs2 Dense K8 Cuda Sft V2

Rank the Laguna Xs2 Dense K8 Cuda Sft V2 Capabilities

What open-source LLMs or SLMs are you in search of? 54148 in total.