How to use from
llama.cppInstall from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf AdithyaSrivastava01/RickLLM:Q8_0# Run inference directly in the terminal:
llama cli -hf AdithyaSrivastava01/RickLLM:Q8_0Use pre-built binary
# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf AdithyaSrivastava01/RickLLM:Q8_0# Run inference directly in the terminal:
./llama-cli -hf AdithyaSrivastava01/RickLLM:Q8_0Build 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 server with a web UI:
./build/bin/llama-server -hf AdithyaSrivastava01/RickLLM:Q8_0# Run inference directly in the terminal:
./build/bin/llama-cli -hf AdithyaSrivastava01/RickLLM:Q8_0Use Docker
docker model run hf.co/AdithyaSrivastava01/RickLLM:Q8_0Quick Links
RickLLM
This is a GGUF format model uploaded using llama.cpp.
Model Details
- Model Format: GGUF (GPU/CPU inference using llama.cpp)
- Base Model: Unsloth
- Quantization: Q8_0
- Use Case: This model can be used with llama.cpp for efficient inference on both GPU and CPU.
Usage
This model can be used with llama.cpp. Example usage:
./main -m RickLLM.gguf -n 1024
License
Please refer to the original model's license for terms of use.
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Install (macOS, Linux)
# Start a local OpenAI-compatible server with a web UI: llama serve -hf AdithyaSrivastava01/RickLLM:Q8_0# Run inference directly in the terminal: llama cli -hf AdithyaSrivastava01/RickLLM:Q8_0