DeepSeek V4 Flash NVFP4 FP8

DeepSeek

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

Released April 20261049K context≈ 786,432 words

A quantized variant of DeepSeek V4 Flash, optimized with NVFP4 and FP8 precision formats for efficient inference. It trades some numerical precision for reduced memory footprint and faster throughput, making it practical for deployment on constrained hardware. The open-weight MIT license gives developers full flexibility to inspect, modify, and redistribute.

Capabilities

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

Long Context

Exceptional

Coding

DeepSeek V4 Flash NVFP4 FP8

DeepSeek

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

Released April 20261049K context≈ 786,432 words

A quantized variant of DeepSeek V4 Flash, optimized with NVFP4 and FP8 precision formats for efficient inference. It trades some numerical precision for reduced memory footprint and faster throughput, making it practical for deployment on constrained hardware. The open-weight MIT license gives developers full flexibility to inspect, modify, and redistribute.

Capabilities

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

Long Context

Exceptional

Coding

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.InferenceThe process of running a trained model to generate predictions or outputs from new inputs.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.QuantizedA technique that reduces a model's size and memory usage by storing weights with lower precision (fewer bits), trading some accuracy for efficiency.ThroughputThe number of tokens a model can generate per second, measuring its processing speed.

Capabilities

Capabilities

Use Case Fit

Glossary