Instructions to use gguf-org/ltx2-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 gguf-org/ltx2-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 gguf-org/ltx2-gguf:Q2_K # Run inference directly in the terminal: llama cli -hf gguf-org/ltx2-gguf:Q2_K
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf gguf-org/ltx2-gguf:Q2_K # Run inference directly in the terminal: llama cli -hf gguf-org/ltx2-gguf:Q2_K
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 gguf-org/ltx2-gguf:Q2_K # Run inference directly in the terminal: ./llama-cli -hf gguf-org/ltx2-gguf:Q2_K
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 gguf-org/ltx2-gguf:Q2_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf gguf-org/ltx2-gguf:Q2_K
Use Docker
docker model run hf.co/gguf-org/ltx2-gguf:Q2_K
- LM Studio
- Jan
- Ollama
How to use gguf-org/ltx2-gguf with Ollama:
ollama run hf.co/gguf-org/ltx2-gguf:Q2_K
- Unsloth Desktop
- Docker Model Runner
How to use gguf-org/ltx2-gguf with Docker Model Runner:
docker model run hf.co/gguf-org/ltx2-gguf:Q2_K
- Lemonade
How to use gguf-org/ltx2-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull gguf-org/ltx2-gguf:Q2_K
Run and chat with the model
lemonade run user.ltx2-gguf-Q2_K
List all available models
lemonade list
- Atomic Chat
- Xet hash:
- d6cc37597f6728d64d2dda446a25dd8ca4579eefc54106127ca876d57a54bc2a
- Size of remote file:
- 218 MB
- SHA256:
- 370b2afd4af4cb89d8a3d92205a38043a75566787eb116be20ca410c67e1c812
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