Instructions to use andreilungeanu/laya-multilingual-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use andreilungeanu/laya-multilingual-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf andreilungeanu/laya-multilingual-GGUF:BF16 # Run inference directly in the terminal: llama cli -hf andreilungeanu/laya-multilingual-GGUF:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf andreilungeanu/laya-multilingual-GGUF:BF16 # Run inference directly in the terminal: llama cli -hf andreilungeanu/laya-multilingual-GGUF:BF16
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf andreilungeanu/laya-multilingual-GGUF:BF16 # Run inference directly in the terminal: ./build/bin/llama cli -hf andreilungeanu/laya-multilingual-GGUF:BF16
Use Docker
docker model run hf.co/andreilungeanu/laya-multilingual-GGUF:BF16
- Llama new
- LM Studio
- Jan
- Ollama
How to use andreilungeanu/laya-multilingual-GGUF with Ollama:
ollama run hf.co/andreilungeanu/laya-multilingual-GGUF:BF16
- Unsloth Desktop
- Docker Model Runner
How to use andreilungeanu/laya-multilingual-GGUF with Docker Model Runner:
docker model run hf.co/andreilungeanu/laya-multilingual-GGUF:BF16
- Lemonade
How to use andreilungeanu/laya-multilingual-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull andreilungeanu/laya-multilingual-GGUF:BF16
Run and chat with the model
lemonade run user.laya-multilingual-GGUF-BF16
List all available models
lemonade list
- Atomic Chat
Laya Multilingual GGUF
GGUF files of Laya Multilingual for llama.cpp's
llama-server (build b11404 or later), endpoint POST /v1/systemone.
| File | Size |
|---|---|
Laya-Multilingual-Q8_0.gguf |
357 MB |
Laya-Multilingual-F16-embdQ8.gguf (F16, token embeddings Q8_0) |
474 MB |
Laya-Multilingual-F16.gguf |
658 MB |
Laya-Multilingual-BF16.gguf |
658 MB |
llama-server -m Laya-Multilingual-Q8_0.gguf -c 1024 -b 1024 -ub 1024
Licence: Apache-2.0, as the original model.
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Model tree for andreilungeanu/laya-multilingual-GGUF
Base model
convaiinnovations/laya-multilingual