Transformers
GGUF
security
cybersecwithai
threat
vulnerability
infosec
zysec.ai
cyber security
ai4security
llmsecurity
cyber
malware analysis
exploitdev
ai4good
aisecurity
cybersec
cybersecurity
TensorBlock
GGUF
conversational
Instructions to use tensorblock/SecurityLLM-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tensorblock/SecurityLLM-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tensorblock/SecurityLLM-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use tensorblock/SecurityLLM-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/SecurityLLM-GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf tensorblock/SecurityLLM-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/SecurityLLM-GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf tensorblock/SecurityLLM-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/SecurityLLM-GGUF:Q2_K # Run inference directly in the terminal: ./llama-cli -hf tensorblock/SecurityLLM-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/SecurityLLM-GGUF:Q2_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf tensorblock/SecurityLLM-GGUF:Q2_K
Use Docker
docker model run hf.co/tensorblock/SecurityLLM-GGUF:Q2_K
- LM Studio
- Jan
- Ollama
How to use tensorblock/SecurityLLM-GGUF with Ollama:
ollama run hf.co/tensorblock/SecurityLLM-GGUF:Q2_K
- Unsloth Desktop
- Docker Model Runner
How to use tensorblock/SecurityLLM-GGUF with Docker Model Runner:
docker model run hf.co/tensorblock/SecurityLLM-GGUF:Q2_K
- Lemonade
How to use tensorblock/SecurityLLM-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tensorblock/SecurityLLM-GGUF:Q2_K
Run and chat with the model
lemonade run user.SecurityLLM-GGUF-Q2_K
List all available models
lemonade list
- Atomic Chat
- Xet hash:
- d80db030c377ea6149ce4c8f27fae6c93b6df290c470d2a370a6679eacdd4073
- Size of remote file:
- 2.72 GB
- SHA256:
- a0b95a8c02410f116b778731be800f9ccce3069bb9b4c6829ebdf354d0a5c241
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