Instructions to use tensorblock/llm4decompile-1.3b-v2-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 tensorblock/llm4decompile-1.3b-v2-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 tensorblock/llm4decompile-1.3b-v2-GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf tensorblock/llm4decompile-1.3b-v2-GGUF:Q2_K
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tensorblock/llm4decompile-1.3b-v2-GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf tensorblock/llm4decompile-1.3b-v2-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 tensorblock/llm4decompile-1.3b-v2-GGUF:Q2_K # Run inference directly in the terminal: ./llama-cli -hf tensorblock/llm4decompile-1.3b-v2-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 tensorblock/llm4decompile-1.3b-v2-GGUF:Q2_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf tensorblock/llm4decompile-1.3b-v2-GGUF:Q2_K
Use Docker
docker model run hf.co/tensorblock/llm4decompile-1.3b-v2-GGUF:Q2_K
- LM Studio
- Jan
- Ollama
How to use tensorblock/llm4decompile-1.3b-v2-GGUF with Ollama:
ollama run hf.co/tensorblock/llm4decompile-1.3b-v2-GGUF:Q2_K
- Unsloth Desktop
- Docker Model Runner
How to use tensorblock/llm4decompile-1.3b-v2-GGUF with Docker Model Runner:
docker model run hf.co/tensorblock/llm4decompile-1.3b-v2-GGUF:Q2_K
- Lemonade
How to use tensorblock/llm4decompile-1.3b-v2-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tensorblock/llm4decompile-1.3b-v2-GGUF:Q2_K
Run and chat with the model
lemonade run user.llm4decompile-1.3b-v2-GGUF-Q2_K
List all available models
lemonade list
- Atomic Chat
Download llm4decompile-1.3b-v2-Q2_K.gguf from tensorblock/llm4decompile-1.3b-v2-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 560 MB
-
https://huggingface.co/tensorblock/llm4decompile-1.3b-v2-GGUF/resolve/main/llm4decompile-1.3b-v2-Q2_K.gguf
- Command line
-
hf download hf://tensorblock/llm4decompile-1.3b-v2-GGUF/llm4decompile-1.3b-v2-Q2_K.gguf
-
curl -L -o llm4decompile-1.3b-v2-Q2_K.gguf https://huggingface.co/tensorblock/llm4decompile-1.3b-v2-GGUF/resolve/main/llm4decompile-1.3b-v2-Q2_K.gguf
560 MB
- Xet hash:
- b322b10d4e5237d8d023101012d21b2311f6ded6eb9c86e3d012480334df7152
- Size of remote file:
- 560 MB
- SHA256:
- 558c8e59c09b7ec91b1f7b20a866ea988a91b2b574f779ccc202bcb7dc9ed55f
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