Instructions to use NiftyOracleAI/NiftyOracle-Coder-30B 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 NiftyOracleAI/NiftyOracle-Coder-30B 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 NiftyOracleAI/NiftyOracle-Coder-30B # Run inference directly in the terminal: llama cli -hf NiftyOracleAI/NiftyOracle-Coder-30B
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf NiftyOracleAI/NiftyOracle-Coder-30B # Run inference directly in the terminal: llama cli -hf NiftyOracleAI/NiftyOracle-Coder-30B
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 NiftyOracleAI/NiftyOracle-Coder-30B # Run inference directly in the terminal: ./build/bin/llama cli -hf NiftyOracleAI/NiftyOracle-Coder-30B
Use Docker
docker model run hf.co/NiftyOracleAI/NiftyOracle-Coder-30B
- Llama new
- LM Studio
- Jan
- Ollama
How to use NiftyOracleAI/NiftyOracle-Coder-30B with Ollama:
ollama run hf.co/NiftyOracleAI/NiftyOracle-Coder-30B
- Unsloth Desktop
- Docker Model Runner
How to use NiftyOracleAI/NiftyOracle-Coder-30B with Docker Model Runner:
docker model run hf.co/NiftyOracleAI/NiftyOracle-Coder-30B
- Lemonade
How to use NiftyOracleAI/NiftyOracle-Coder-30B with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull NiftyOracleAI/NiftyOracle-Coder-30B
Run and chat with the model
lemonade run user.NiftyOracle-Coder-30B-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Download checkpoints/CodeSymb-1B-Chat-Step-208000.pt from NiftyOracleAI/NiftyOracle-Coder-30B: direct link, hf CLI and curl.
- Browser
- Download file 2.39 GB
-
https://huggingface.co/NiftyOracleAI/NiftyOracle-Coder-30B/resolve/main/checkpoints/CodeSymb-1B-Chat-Step-208000.pt
- Command line
-
hf download hf://NiftyOracleAI/NiftyOracle-Coder-30B/checkpoints/CodeSymb-1B-Chat-Step-208000.pt
-
curl -L -o CodeSymb-1B-Chat-Step-208000.pt https://huggingface.co/NiftyOracleAI/NiftyOracle-Coder-30B/resolve/main/checkpoints/CodeSymb-1B-Chat-Step-208000.pt
2.39 GB
- Xet hash:
- 3a8a1d842ffdfca851f3e3b0d88d636bbc7b12f2834476820a793c99a143a962
- Size of remote file:
- 2.39 GB
- SHA256:
- 600e271ec6a9f67659d650cb4ba8e5c0a6e9ebf28d188bee30bcd4e9eb1e7681
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