Instructions to use TurkAILabs/NedoLM-0.8B-SFT-GGUF 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 TurkAILabs/NedoLM-0.8B-SFT-GGUF 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 TurkAILabs/NedoLM-0.8B-SFT-GGUF:F16 # Run inference directly in the terminal: llama cli -hf TurkAILabs/NedoLM-0.8B-SFT-GGUF:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf TurkAILabs/NedoLM-0.8B-SFT-GGUF:F16 # Run inference directly in the terminal: llama cli -hf TurkAILabs/NedoLM-0.8B-SFT-GGUF:F16
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 TurkAILabs/NedoLM-0.8B-SFT-GGUF:F16 # Run inference directly in the terminal: ./llama-cli -hf TurkAILabs/NedoLM-0.8B-SFT-GGUF:F16
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 TurkAILabs/NedoLM-0.8B-SFT-GGUF:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf TurkAILabs/NedoLM-0.8B-SFT-GGUF:F16
Use Docker
docker model run hf.co/TurkAILabs/NedoLM-0.8B-SFT-GGUF:F16
- LM Studio
- Jan
- Ollama
How to use TurkAILabs/NedoLM-0.8B-SFT-GGUF with Ollama:
ollama run hf.co/TurkAILabs/NedoLM-0.8B-SFT-GGUF:F16
- Unsloth Desktop
- Docker Model Runner
How to use TurkAILabs/NedoLM-0.8B-SFT-GGUF with Docker Model Runner:
docker model run hf.co/TurkAILabs/NedoLM-0.8B-SFT-GGUF:F16
- Lemonade
How to use TurkAILabs/NedoLM-0.8B-SFT-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull TurkAILabs/NedoLM-0.8B-SFT-GGUF:F16
Run and chat with the model
lemonade run user.NedoLM-0.8B-SFT-GGUF-F16
List all available models
lemonade list
- Atomic Chat
- Xet hash:
- ed996c3f58c51de94ef6bde7a108d1ea85ec950906cbe013f47a932a32cfaba8
- Size of remote file:
- 307 kB
- SHA256:
- 72412d981dac65a29d1767bc98821fc2bcffc2de53c534e7c719598515bfb600
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.