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convaiinnovations/laya-multilingualMultilingual System 1 decision model compiled from convaiinnovations/laya-multilingual (mmBERT-base, 322M, context 1024, 100+ languages).
These files are not llama.cpp / llama-cli GGUFs. They are produced by ggmlc, a neural network compiler that lowers PyTorch, JAX, Flax, and Keras models to high-performance GGML execution. Loading them in llama.cpp will fail.
Typed questions (choice / score / noul) are scored in one encoder pass. There is no autoregressive token generation.
Source, CLI, and binaries: examples/laya
Other families: laya-GGUF (English) · laya-typed-decisions-GGUF
| File | Quant | Size | Notes |
|---|---|---|---|
laya_multilingual_f16.gguf |
F16 | ~633 MB | Full precision. |
laya_multilingual_q8_0.gguf |
Q8_0 | ~345 MB | Usually the best size / quality trade. |
laya_multilingual_ud_q4_k_m.gguf |
UD_Q4_K_M | ~500 MB | Larger than Q8_0 here because embeddings stay F16. |
Tokenizer is Gemma BPE + Metaspace (▁), specials <bos>/<eos>/<pad>/<mask> (ids 2/1/0/4), not ModernBERT [CLS]/[SEP]/[MASK].
huggingface-cli download mys/laya-multilingual-GGUF laya_multilingual_f16.gguf --local-dir .
layaDownload a binary from ggmlc releases (laya.exe / laya). --device defaults to auto (CUDA or Metal if present, else CPU).
laya help
laya list-presets
laya info laya_multilingual_f16.gguf
laya decide laya_multilingual_f16.gguf --preset email --text "二重に請求されました" --device auto --cuda-graph
laya decide laya_multilingual_f16.gguf --preset triage --text "Bitte erstatten Sie die doppelte Abbuchung." --json
laya serve laya_multilingual_f16.gguf --port 8080 --device auto --cuda-graph
laya bench laya_multilingual_f16.gguf --preset email --device auto --cuda-graph
Put English + multilingual GGUFs in one directory to route before the forward (non-Latin script → multilingual; otherwise English function-word count):
laya detect-lang --text "二重に請求されました"
laya decide --models-dir . --preset email --text "二重に請求されました"
serve starts Decision Studio (GET /) and POST /api/decide. daemon is newline JSON-RPC on stdin/stdout.
Laya is the open reproduction of TypeSafe Jev: given a state and typed questions, it returns calibrated probabilities instead of generating tokens. The English checkpoint stays confident while collapsing off English; use this family for non-English (or mixed) text.
Apache 2.0, same as the upstream Laya weights. Compiler: ggmlc (MIT).