d3 flash

Qwen3.5

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

Released July 2026context N/A

A lightweight, fast text model built on Qwen3.5 architecture, packaged by vllm-sr for efficient inference. The 'flash' designation suggests an emphasis on speed over depth, making it lean and responsive. Specific capability details beyond text-to-text generation are limited.

Capabilities

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

Instruction Following

Moderate

Coding

Moderate

Multilingual

Use Case Fit

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

d3 flash

Qwen3.5

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

Released July 2026context N/A

A lightweight, fast text model built on Qwen3.5 architecture, packaged by vllm-sr for efficient inference. The 'flash' designation suggests an emphasis on speed over depth, making it lean and responsive. Specific capability details beyond text-to-text generation are limited.

Capabilities

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

Instruction Following

Moderate

Coding

Moderate

Multilingual

Use Case Fit

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

Glossary

ArchitectureThe underlying structural design of a neural network that defines how data flows through layers and components.InferenceThe process of running a trained model to generate predictions or outputs from new inputs.Text GenerationThe process of an AI model creating new text one word or token at a time based on patterns it learned during training.Text ModelA language model that processes and generates only text, without support for images, audio, or other media types.Text-to-TextA framework where all NLP tasks are treated as converting input text into output text, so translation, summarization, and classification use the same model structure.Text-to-Text GenerationA model task where the input and output are both text, with the model learning to transform one text format into another.vLLMAn inference engine optimized for running large language models efficiently by batching requests and managing memory intelligently.