Underdog Saluki 27B 1.0

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

Released October 2026context N/A

Underdog Saluki 27B 1.0 is a text-in, text-out open-weight model from ConwayResearch, released under the Apache 2.0 license and distributed in GGUF format, making it straightforward to run locally. At 27 billion parameters it sits in a mid-to-large weight class for open models. Beyond these structural details, specific capability information is limited.

Capabilities

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

Creative Writing

Moderate

Instruction Following

Moderate

Reasoning & Logic

Use Case Fit

Fit scores are AI-generated based on model capabilities, intended use, and technical specifications. Learn more

Underdog Saluki 27B 1.0

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

Released October 2026context N/A

Underdog Saluki 27B 1.0 is a text-in, text-out open-weight model from ConwayResearch, released under the Apache 2.0 license and distributed in GGUF format, making it straightforward to run locally. At 27 billion parameters it sits in a mid-to-large weight class for open models. Beyond these structural details, specific capability information is limited.

Capabilities

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

Creative Writing

Moderate

Instruction Following

Moderate

Reasoning & Logic

Use Case Fit

Fit scores are AI-generated based on model capabilities, intended use, and technical specifications. Learn more

Glossary

Apache 2.0 LicenseA permissive open-source license that allows free use, modification, and distribution of software with minimal restrictions.Apache 2.0 LicenseAn open-source software license that allows free use, modification, and distribution of code with minimal restrictions.GGUFA file format for quantized models designed for efficient CPU and GPU inference with llama.cpp.GGUF FormatA file format designed for efficient storage and loading of large language and embedding models, optimized for fast inference on various hardware.Open-Weight ModelA model whose trained weights are publicly released, allowing anyone to download and run it locally.ParametersThe learned numerical values in a model — more parameters generally means more capacity but higher compute cost.Text-In, Text-OutA model that accepts text as input and produces text as output, without support for images, audio, or other data types.