Tasks and inputs
Phocinae Largha 150M v1 is listed for Structured Decisions. It accepts text and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
SyncDev model directory · Profile updated Oct 13, 2026
Phocinae Largha 150M v1 from phocinae: Encoder decision model that answers typed questions (noul, choice, score) over text with calibrated probabilities, on CPU and GPU.
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
Encoder decision model that answers typed questions (noul, choice, score) over text with calibrated probabilities, on CPU and GPU. The registry places it in the phocinae catalog with a release date of 2026-10-08. This profile describes its documented interface and how to evaluate it for the intended task.
The recorded inputs are text, with text output. The registry lists a 8,192-token context window. It also declares structured output. These are specifications, not a measured quality or speed ranking. A host can impose its own request limits and support a different subset of features.
The registry marks Phocinae Largha 150M v1 as an open-weight model. Check the linked checkpoint’s licence and runtime requirements before downloading or deploying it. Open weights describe availability, while licence terms determine permitted use. Local inference still requires hardware; a hosted route can charge separately.
No independently checked token rate is added from a hosting alias. Use the route’s current price and billing unit when comparing cost, including output, reasoning, cache behavior and retries where applicable.
Evaluate probabilities and decisions on held-out examples, including ambiguous cases. Choose action thresholds using the costs of false positives and false negatives. A state limit and a question budget are different from a chat completion output limit.
A supporting source document was retrieved for this entry. Specifications above remain attributed to the models.dev record unless the publisher supplies a more specific limit. SyncDev has not independently benchmarked Phocinae Largha 150M v1.
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Compare the model on the work you need to complete.
Phocinae Largha 150M v1 is listed for Structured Decisions. It accepts text and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
Documented limits: 8.19K 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.
Nace AI
Drex 2.0 scores typed questions over text and returns probabilities. Its hosted route uses 2.0 for short states and falls back to 1.5 for longer requests.
Liquid AI
Liquid d1 returns typed binary decisions, class distributions or scores through Liquid AI’s decision API.
Nace AI
Drex 1.5 evaluates typed questions against a shared state and returns calibrated probabilities through the System One API.
TypeSafe
TypeSafe’s Jev evaluates many questions against shared text state through a System One interface; the latest alias currently resolves to Jev 1.13.