# Vica Laya decision model by tory-labs > Vica Laya is a Korean-focused local decision model in Q8\_0 format. Read its runtime requirements, news evaluation and rejected-experiment limits. Updated 2026-11-07 (Australia/Adelaide) ## Quick answers ### What is Vica Laya by tory-labs? [Vica Laya](): A Korean-focused [Laya]() multilingual fine-tune, distributed as the Q8\_0 model installed in Vica on 5 Nov 2026. [Vica Laya facts]() [Source]() ### Who makes Vica Laya? [Vica Laya](): tory-labs [Vica Laya facts]() [Source]() By tory-labs · Hugging Face package release: 2026-11-05 · OPEN A Korean-focused [Laya]() multilingual fine-tune, distributed as the Q8\_0 model installed in Vica on 5 Nov 2026. It classifies supplied text with typed questions. The compiled decision graph needs the [Laya]() runtime from ggmlc v0.9.7; this GGUF does not run as a generative model in llama.cpp or Ollama. ## Facts - Package: 361,797,216-byte Q8\_0 GGUF with embedded tokenizer - Inputs: Text; Korean and English - Licence: Apache-2.0 - Runtime: ggmlc v0.9.7 [Laya]() executable, including a persistent daemon ## Claims and sources - **VENDOR-REPORTED**: The maker reports 93 of 130 Korean public-news excerpts correct (71.5%) after selecting the model on separate calibration data. Reference labels were written by an independent assistant and not adjudicated by people. The 19.51 ms median and 27.52 ms p95 cover 20 calibration inputs repeated three times on a local Apple Silicon machine. Later rejected experiments do not describe these weights. [source]() ## Links - [Source: Model card and files]() ## Related projects No related projects are listed in the registry.