Instructions to use vinyteles/mobilerag-plus-assets 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 vinyteles/mobilerag-plus-assets with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible embeddings server: llama serve -hf vinyteles/mobilerag-plus-assets:Q8_0 --embeddings
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible embeddings server: llama serve -hf vinyteles/mobilerag-plus-assets:Q8_0 --embeddings
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 embeddings server: ./build/bin/llama serve -hf vinyteles/mobilerag-plus-assets:Q8_0 --embeddings
- Llama new
- LM Studio
- Jan
- Ollama
How to use vinyteles/mobilerag-plus-assets with Ollama:
ollama run hf.co/vinyteles/mobilerag-plus-assets:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use vinyteles/mobilerag-plus-assets with Docker Model Runner:
docker model run hf.co/vinyteles/mobilerag-plus-assets:Q8_0
- Lemonade
How to use vinyteles/mobilerag-plus-assets with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull vinyteles/mobilerag-plus-assets:Q8_0
Run and chat with the model
lemonade run user.mobilerag-plus-assets-Q8_0
List all available models
lemonade list
- Atomic Chat
Download benchmark_mobile/eco-vector.sqlite from vinyteles/mobilerag-plus-assets: direct link, hf CLI and curl.
- Browser
- Download file 17 MB
-
https://huggingface.co/vinyteles/mobilerag-plus-assets/resolve/main/benchmark_mobile/eco-vector.sqlite
- Command line
-
hf download hf://vinyteles/mobilerag-plus-assets/benchmark_mobile/eco-vector.sqlite
-
curl -L -o eco-vector.sqlite https://huggingface.co/vinyteles/mobilerag-plus-assets/resolve/main/benchmark_mobile/eco-vector.sqlite
17 MB
- Xet hash:
- 483d71e1721baa44543177df8113be598f526c9f5af334d1a7771032f6ede0ea
- Size of remote file:
- 17 MB
- SHA256:
- 8167de1135a2d09f7395d5ccfc3154e873c2d972f94eb05b17606da170d19239
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