Laguna XS 2.1 NVFP4

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released June 2026262K context≈ 196,608 words

Laguna XS 2.1 NVFP4 is a compact, open-weight text model from poolside that runs in NVFP4 precision — a lower-bit format that trades some numerical fidelity for reduced memory footprint and faster inference. Its 262K-token context window is notably large for a model of its size class, making it capable of processing long documents in a single pass. Specific capability details beyond its architecture and format are limited.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Long Context

Strong

Creative Writing

Laguna XS 2.1 NVFP4

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released June 2026262K context≈ 196,608 words

Laguna XS 2.1 NVFP4 is a compact, open-weight text model from poolside that runs in NVFP4 precision — a lower-bit format that trades some numerical fidelity for reduced memory footprint and faster inference. Its 262K-token context window is notably large for a model of its size class, making it capable of processing long documents in a single pass. Specific capability details beyond its architecture and format are limited.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Long Context

Strong

Creative Writing

Glossary

ArchitectureThe underlying structural design of a neural network that defines how data flows through layers and components.Context WindowThe maximum number of tokens a model can process in a single conversation or prompt.FidelityThe degree to which a quantized or compressed model preserves the quality and accuracy of the original full-precision model.InferenceThe process of running a trained model to generate predictions or outputs from new inputs.Memory FootprintThe amount of RAM or storage space a model requires to run, which is critical for deployment on resource-constrained devices.NVFP4 PrecisionA low-precision numerical format that uses 4 bits per weight, developed by NVIDIA to compress models for efficient inference on consumer hardware.NVFP4 PrecisionA low-precision numerical format optimized by NVIDIA that uses fewer bits per number than standard formats, enabling efficient inference on NVIDIA GPUs while maintaining reasonable accuracy.Numerical FidelityThe accuracy and precision with which a model preserves mathematical calculations; lower fidelity means some precision is lost, often as a trade-off for smaller model size.PrecisionThe level of numerical detail a model uses to represent its internal values; higher precision means more accurate calculations but requires more memory.Text ModelA language model that processes and generates only text, without support for images, audio, or other media types.TokenA small unit of text (a word, subword, or punctuation mark) that a language model breaks input into for processing.

Capabilities

Capabilities

Use Case Fit

Glossary