Instructions to use Gokalp35/cureConnect-LLM 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 Gokalp35/cureConnect-LLM 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 Gokalp35/cureConnect-LLM:Q4_K_M # Run inference directly in the terminal: llama cli -hf Gokalp35/cureConnect-LLM:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Gokalp35/cureConnect-LLM:Q4_K_M # Run inference directly in the terminal: llama cli -hf Gokalp35/cureConnect-LLM:Q4_K_M
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 Gokalp35/cureConnect-LLM:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf Gokalp35/cureConnect-LLM:Q4_K_M
Use Docker
docker model run hf.co/Gokalp35/cureConnect-LLM:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use Gokalp35/cureConnect-LLM with Ollama:
ollama run hf.co/Gokalp35/cureConnect-LLM:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use Gokalp35/cureConnect-LLM with Docker Model Runner:
docker model run hf.co/Gokalp35/cureConnect-LLM:Q4_K_M
- Lemonade
How to use Gokalp35/cureConnect-LLM with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Gokalp35/cureConnect-LLM:Q4_K_M
Run and chat with the model
lemonade run user.cureConnect-LLM-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download tokenizer.json from Gokalp35/cureConnect-LLM: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/Gokalp35/cureConnect-LLM/resolve/main/tokenizer.json
- Command line
-
hf download hf://Gokalp35/cureConnect-LLM/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Gokalp35/cureConnect-LLM/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- da070f8626ee36c29d81d14f7a18b0a943ba6477aaa86b433d0f865f98bf8392
- Size of remote file:
- 17.2 MB
- SHA256:
- 6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
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