Instructions to use RaymondModels/Raymond_Tuning 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 RaymondModels/Raymond_Tuning 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 RaymondModels/Raymond_Tuning # Run inference directly in the terminal: llama cli -hf RaymondModels/Raymond_Tuning
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf RaymondModels/Raymond_Tuning # Run inference directly in the terminal: llama cli -hf RaymondModels/Raymond_Tuning
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 RaymondModels/Raymond_Tuning # Run inference directly in the terminal: ./build/bin/llama cli -hf RaymondModels/Raymond_Tuning
Use Docker
docker model run hf.co/RaymondModels/Raymond_Tuning
- Llama new
- LM Studio
- Jan
- Ollama
How to use RaymondModels/Raymond_Tuning with Ollama:
ollama run hf.co/RaymondModels/Raymond_Tuning
- Unsloth Desktop
- Docker Model Runner
How to use RaymondModels/Raymond_Tuning with Docker Model Runner:
docker model run hf.co/RaymondModels/Raymond_Tuning
- Lemonade
How to use RaymondModels/Raymond_Tuning with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull RaymondModels/Raymond_Tuning
Run and chat with the model
lemonade run user.Raymond_Tuning-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Download narrator.gguf from RaymondModels/Raymond_Tuning: direct link, hf CLI and curl.
- Browser
- Download file 3.42 GB
-
https://huggingface.co/RaymondModels/Raymond_Tuning/resolve/main/narrator.gguf
- Command line
-
hf download hf://RaymondModels/Raymond_Tuning/narrator.gguf
-
curl -L -o narrator.gguf https://huggingface.co/RaymondModels/Raymond_Tuning/resolve/main/narrator.gguf
3.42 GB
- Xet hash:
- f283d4d2fc5b4f07ffa3cb1f832b438e78edd4228498dbb266575fa2d8f8c71d
- Size of remote file:
- 3.42 GB
- SHA256:
- 51725f77f997a5080c3d8dd66e073da22ddf48ab5264f21f05ded9b202c3680e
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