Instructions to use embedme/lightonai-lateon-code-edge-Q8_0 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 embedme/lightonai-lateon-code-edge-Q8_0 with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible embeddings server: llama serve -hf embedme/lightonai-lateon-code-edge-Q8_0:Q8_0 --embeddings
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible embeddings server: llama serve -hf embedme/lightonai-lateon-code-edge-Q8_0:Q8_0 --embeddings
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible embeddings server: ./llama-server -hf embedme/lightonai-lateon-code-edge-Q8_0:Q8_0 --embeddings
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible embeddings server: ./build/bin/llama-server -hf embedme/lightonai-lateon-code-edge-Q8_0:Q8_0 --embeddings
- Llama new
- LM Studio
- Jan
- Ollama
How to use embedme/lightonai-lateon-code-edge-Q8_0 with Ollama:
ollama run hf.co/embedme/lightonai-lateon-code-edge-Q8_0:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use embedme/lightonai-lateon-code-edge-Q8_0 with Docker Model Runner:
docker model run hf.co/embedme/lightonai-lateon-code-edge-Q8_0:Q8_0
- Lemonade
How to use embedme/lightonai-lateon-code-edge-Q8_0 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull embedme/lightonai-lateon-code-edge-Q8_0:Q8_0
Run and chat with the model
lemonade run user.lightonai-lateon-code-edge-Q8_0-Q8_0
List all available models
lemonade list
- Atomic Chat
Commit History
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Update benchmark results: multi-codebase (jq, Rails, FastAPI) weighted scoring
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docs: update benchmark with harder semantic queries
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docs: add quantization quality benchmark results
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Upload README.md with huggingface_hub
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Upload README.md with huggingface_hub
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Upload lightonai-lateon-code-edge-Q8_0.projection with huggingface_hub
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Upload lightonai-lateon-code-edge-Q8_0.gguf with huggingface_hub
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initial commit
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