Instructions to use russian-oracle/laya-multilingual-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use russian-oracle/laya-multilingual-GGUF with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use russian-oracle/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 russian-oracle/laya-multilingual-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf russian-oracle/laya-multilingual-GGUF:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf russian-oracle/laya-multilingual-GGUF:Q8_0 # Run inference directly in the terminal: llama cli -hf russian-oracle/laya-multilingual-GGUF:Q8_0
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 russian-oracle/laya-multilingual-GGUF:Q8_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf russian-oracle/laya-multilingual-GGUF:Q8_0
Use Docker
docker model run hf.co/russian-oracle/laya-multilingual-GGUF:Q8_0
- Llama new
- LM Studio
- Jan
- Ollama
How to use russian-oracle/laya-multilingual-GGUF with Ollama:
ollama run hf.co/russian-oracle/laya-multilingual-GGUF:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use russian-oracle/laya-multilingual-GGUF with Docker Model Runner:
docker model run hf.co/russian-oracle/laya-multilingual-GGUF:Q8_0
- Lemonade
How to use russian-oracle/laya-multilingual-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull russian-oracle/laya-multilingual-GGUF:Q8_0
Run and chat with the model
lemonade run user.laya-multilingual-GGUF-Q8_0
List all available models
lemonade list
- Atomic Chat
laya-multilingual GGUF (Q8_0)
GGUF conversion of convaiinnovations/laya-multilingual
(Apache-2.0) for the POST /v1/systemone endpoint of llama-server
(llama.cpp PR #29818). Not affiliated with the model's authors.
llama-server -m laya-multilingual-Q8_0.gguf
How it was made
- Source:
convaiinnovations/laya-multilingualat revisione4e9ddf21a7b1903b7acffd8814ad4307bf63a67. - Converter:
convert_hf_to_gguf.pyof llama.cpp at commiteec18f5d32099fb15d4ba15003a231bcc72757d5,--outtype q8_0 --model-name Laya-Multilingual, with its pinned requirements (transformers 4.57.6). - One change to the source before converting:
tokenizer/tokenizer_config.jsonlistsextra_special_tokens(["<start_of_turn>", "<end_of_turn>"]), which transformers 4.57.6 cannot load; it was rewritten as the mapping{"extra_0": "<start_of_turn>", "extra_1": "<end_of_turn>"}. Weights are unchanged. laya-multilingual-Q8_0.ggufsha256:8fcb3a3e9c5e119fa2676208ce4eea7f47e32fea434d8e63d8635fb74c12417b.
Loaded and answered /v1/systemone with llama-server build 11371 (99b95488c): decision model type: laya.
See the source model card for capabilities and limits (it ships uncalibrated).
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Model tree for russian-oracle/laya-multilingual-GGUF
Base model
convaiinnovations/laya-multilingual