Instructions to use sujalgawas/my-codellama-experience-model 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 sujalgawas/my-codellama-experience-model 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 sujalgawas/my-codellama-experience-model # Run inference directly in the terminal: llama cli -hf sujalgawas/my-codellama-experience-model
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf sujalgawas/my-codellama-experience-model # Run inference directly in the terminal: llama cli -hf sujalgawas/my-codellama-experience-model
Use 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 sujalgawas/my-codellama-experience-model # Run inference directly in the terminal: ./llama-cli -hf sujalgawas/my-codellama-experience-model
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 server with a web UI: ./build/bin/llama-server -hf sujalgawas/my-codellama-experience-model # Run inference directly in the terminal: ./build/bin/llama-cli -hf sujalgawas/my-codellama-experience-model
Use Docker
docker model run hf.co/sujalgawas/my-codellama-experience-model
- LM Studio
- Jan
- Ollama
How to use sujalgawas/my-codellama-experience-model with Ollama:
ollama run hf.co/sujalgawas/my-codellama-experience-model
- Unsloth Desktop
- Docker Model Runner
How to use sujalgawas/my-codellama-experience-model with Docker Model Runner:
docker model run hf.co/sujalgawas/my-codellama-experience-model
- Lemonade
How to use sujalgawas/my-codellama-experience-model with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull sujalgawas/my-codellama-experience-model
Run and chat with the model
lemonade run user.my-codellama-experience-model-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
- Xet hash:
- 26e91d46dda7e6d11e4053551866ebf1d0a7a51ff87a9af27d4306a10e7a8ab5
- Size of remote file:
- 4.05 GB
- SHA256:
- 0aaf51d5e1ed4777646c729ae6d4b342740552c15cb3738fb03110f09eb40614
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.