Tasks and inputs
Rnj-1.5 Instruct is listed for Text generation, Coding & Code Generation. It accepts text and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
SyncDev model directory · Profile updated Oct 7, 2026
Rnj-1.5 Instruct is Essential AI’s Apache-licensed long-context follow-up for instruction following and coding.
The specification score summarizes recorded features and limits. It is not a benchmark result.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
Rnj-1.5 Instruct is Essential AI’s Apache-licensed long-context follow-up for instruction following and coding.
The model card describes extending the Rnj-1 Instruct context from 32K to 160K. The release focuses on work over longer text and code rather than adding a documented image or speech interface. It is a downloadable checkpoint, with its own evaluation discussion and serving requirements.
A long-context coding test should contain the files, build instructions and relevant history needed to solve a real issue. Place an important constraint well before the final instruction, then check whether the proposed change respects it. Include similarly named functions or repeated configuration blocks to expose mistaken retrieval. Run the actual checks required by the repository, and review unexpected file changes before accepting a patch.
The publisher discusses why simple needle-in-a-haystack evaluations can miss the retrieval demands of coding work. Treat the advertised context as an input allowance and verify whether useful details remain accessible at the positions your workload needs. Longer input also increases processing time and memory use, so compare a short issue with a repository-scale one at the same concurrency. Preserve the checkpoint’s tokenizer and chat template when serving it. This profile does not convert download availability into a zero-cost hosted API price or transfer benchmark results from another Rnj release.
Compare the model on the work you need to complete.
Rnj-1.5 Instruct is listed for Text generation, Coding & Code Generation. It accepts text and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
Documented limits: 160K context. Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.
The weights are downloadable under Apache 2.0. Check runtime support and size the complete model and working context for your expected concurrency.
These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
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