Quick start

ollama run laya:322m-multilingual-bf16

Runnable variants

Memory is a rough file-size estimate; context length, runtime and GPU offload change it.

7 of 7 matching variants shown.7 of 7 variants shown.

Tag	Type	Inputs	Digest	Download	Parameters	Quantization	Context	Est. memory	Run
322m-multilingual-bf16	Typelocal	Inputstext	Digestc1242e4a83f0	Download658 MB	Parameters322m	QuantizationBF16	Context8K	Est. memory≈ 2 GB	`ollama run laya:322m-multilingual-bf16`
322m-multilingual-mlx-fp16	Typelocal	Inputstext	Digest63b6e37ecedb	Download678 MB	Parameters322m	QuantizationFP16	Context1K	Est. memory≈ 2 GB	`ollama run laya:322m-multilingual-mlx-fp16`
421m-english-bf16	Typelocal	Inputstext	Digest1f196b378202	Download844 MB	Parameters421m	QuantizationBF16	Context8K	Est. memory≈ 2 GB	`ollama run laya:421m-english-bf16`
421m-english-mlx-fp16	Typelocal	Inputstext	Digestaaba5574a1e1	Download846 MB	Parameters421m	QuantizationFP16	Context512	Est. memory≈ 2 GB	`ollama run laya:421m-english-mlx-fp16`
421m-typed-decisions-bf16	Typelocal	Inputstext	Digest84a7be5dd978	Download844 MB	Parameters421m	QuantizationBF16	Context8K	Est. memory≈ 2 GB	`ollama run laya:421m-typed-decisions-bf16`
421m-typed-decisions-mlx-fp16	Typelocal	Inputstext	Digestc62bc110244c	Download846 MB	Parameters421m	QuantizationFP16	Context1K	Est. memory≈ 2 GB	`ollama run laya:421m-typed-decisions-mlx-fp16`
latest	Typelocal	Inputstext	Digest0175aca9f021	DownloadUnknown	ParametersUnknown	QuantizationUnknown	Context8K	Est. memoryUnknown	`ollama run laya:latest`

State-of-the-art large embedding model from mixedbread.ai

Embedding model from BAAI mapping texts to vectors.

Building upon the foundational models of the Qwen3 series, Qwen3 Embedding provides a comprehensive range of text embeddings models in various sizes

Sentence-transformers model that can be used for tasks like clustering or semantic search.