xxx FP8

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

Released June 2026context N/A

A text-in, text-out model released under the MIT license with open weights in safetensors format. It uses FP8 quantization, which reduces memory footprint compared to full-precision variants — a practical trade-off that can affect output fidelity in subtle ways. Details about this model's specific capabilities and intended use cases are limited.

Capabilities

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

Instruction Following

Moderate

Creative Writing

Moderate

Factual Knowledge

Use Case Fit

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

xxx FP8

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

Released June 2026context N/A

A text-in, text-out model released under the MIT license with open weights in safetensors format. It uses FP8 quantization, which reduces memory footprint compared to full-precision variants — a practical trade-off that can affect output fidelity in subtle ways. Details about this model's specific capabilities and intended use cases are limited.

Capabilities

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

Instruction Following

Moderate

Creative Writing

Moderate

Factual Knowledge

Use Case Fit

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

Glossary

FP8 QuantizationA compression technique that reduces model size by representing weights using 8-bit floating-point numbers instead of higher precision, making it faster and more memory-efficient.FidelityThe degree to which a quantized or compressed model preserves the quality and accuracy of the original full-precision model.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.PrecisionThe level of numerical detail a model uses to represent its internal values; higher precision means more accurate calculations but requires more memory.QuantizationReducing a model's numerical precision (e.g., from 16-bit to 4-bit) to shrink memory usage and speed up inference.SafetensorsA safe, fast file format for storing model weights, designed to prevent code execution vulnerabilities.Safetensors FormatA secure and efficient file format for storing model weights that prioritizes safety and speed when loading models.Text-In, Text-OutA model that accepts text as input and produces text as output, without support for images, audio, or other data types.WeightsThe numerical parameters inside a neural network that determine how it processes input and generates output.