RnJ 1 Instruct FP8

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

Released December 202533K context≈ 24,576 words

An FP8-quantized instruct model from Doradus-AI, released under the Gemma license. The FP8 format reduces memory footprint compared to full precision, making it more practical for deployment on consumer GPUs. With a 32K token context window and text-only interface, it handles standard instruction-following tasks. Suitable for developers who want a lightweight, self-hostable instruct model.

Capabilities

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

Creative Writing

Moderate

Coding

Use Case Fit

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

RnJ 1 Instruct FP8

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

Released December 202533K context≈ 24,576 words

An FP8-quantized instruct model from Doradus-AI, released under the Gemma license. The FP8 format reduces memory footprint compared to full precision, making it more practical for deployment on consumer GPUs. With a 32K token context window and text-only interface, it handles standard instruction-following tasks. Suitable for developers who want a lightweight, self-hostable instruct model.

Capabilities

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

Creative Writing

Moderate

Coding

Use Case Fit

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

Glossary

Context WindowThe maximum number of tokens a model can process in a single conversation or prompt.Instruction-FollowingThe ability of a model to understand and execute specific tasks or commands given in natural language prompts.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.Self-HostableA model that can be downloaded and run on your own hardware or servers instead of relying on a company's cloud service.Text-Only InterfaceA model that accepts and produces only text inputs and outputs, without support for images, audio, or other media types.TokenA small unit of text (a word, subword, or punctuation mark) that a language model breaks input into for processing.