GLM 5.3 CYBERSECURITY FP8

GLM

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

Released August 20261049K context≈ 786,432 words

GLM 5.3 CYBERSECURITY FP8 is a text-in, text-out open-weight model published by dealignai under the MIT license. It runs in FP8 precision, which reduces memory footprint compared to full-precision variants. Details about its specific capabilities and behaviors are limited in available documentation.

Capabilities

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

Long Context

Strong

Factual Knowledge

Moderate

Instruction Following

Use Case Fit

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

GLM 5.3 CYBERSECURITY FP8

GLM

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

Released August 20261049K context≈ 786,432 words

GLM 5.3 CYBERSECURITY FP8 is a text-in, text-out open-weight model published by dealignai under the MIT license. It runs in FP8 precision, which reduces memory footprint compared to full-precision variants. Details about its specific capabilities and behaviors are limited in available documentation.

Capabilities

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

Long Context

Strong

Factual Knowledge

Moderate

Instruction Following

Use Case Fit

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

Glossary

FP8 PrecisionA data format that stores numbers using 8 bits instead of the standard 32 bits, significantly reducing memory requirements with minimal quality loss.Full-PrecisionA model using standard 32-bit floating-point numbers to represent weights, providing maximum accuracy but requiring more memory.MIT LicenseA permissive open-source license that allows free use, modification, and distribution of software with minimal restrictions.Memory FootprintThe amount of RAM or storage space a model requires to run, which is critical for deployment on resource-constrained devices.Open-Weight ModelA model whose trained weights are publicly released, allowing anyone to download and run it locally.PrecisionThe level of numerical detail a model uses to represent its internal values; higher precision means more accurate calculations but requires more memory.Text-In, Text-OutA model that accepts text as input and produces text as output, without support for images, audio, or other data types.