Instructions to use TareksTesting/Scripturient-FINAL-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use TareksTesting/Scripturient-FINAL-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="TareksTesting/Scripturient-FINAL-GGUF", filename="Scripturient-V1.0-LLaMa-70B-Q4KM.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use TareksTesting/Scripturient-FINAL-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 TareksTesting/Scripturient-FINAL-GGUF # Run inference directly in the terminal: llama cli -hf TareksTesting/Scripturient-FINAL-GGUF
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf TareksTesting/Scripturient-FINAL-GGUF # Run inference directly in the terminal: llama cli -hf TareksTesting/Scripturient-FINAL-GGUF
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 TareksTesting/Scripturient-FINAL-GGUF # Run inference directly in the terminal: ./llama-cli -hf TareksTesting/Scripturient-FINAL-GGUF
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 TareksTesting/Scripturient-FINAL-GGUF # Run inference directly in the terminal: ./build/bin/llama-cli -hf TareksTesting/Scripturient-FINAL-GGUF
Use Docker
docker model run hf.co/TareksTesting/Scripturient-FINAL-GGUF
- LM Studio
- Jan
- Ollama
How to use TareksTesting/Scripturient-FINAL-GGUF with Ollama:
ollama run hf.co/TareksTesting/Scripturient-FINAL-GGUF
- Unsloth Studio
How to use TareksTesting/Scripturient-FINAL-GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for TareksTesting/Scripturient-FINAL-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for TareksTesting/Scripturient-FINAL-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for TareksTesting/Scripturient-FINAL-GGUF to start chatting
- Atomic Chat new
- Docker Model Runner
How to use TareksTesting/Scripturient-FINAL-GGUF with Docker Model Runner:
docker model run hf.co/TareksTesting/Scripturient-FINAL-GGUF
- Lemonade
How to use TareksTesting/Scripturient-FINAL-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull TareksTesting/Scripturient-FINAL-GGUF
Run and chat with the model
lemonade run user.Scripturient-FINAL-GGUF-{{QUANT_TAG}}List all available models
lemonade list
Add files using upload-large-folder tool
Browse files- .gitattributes +8 -0
- Scripturient-V1.0-LLaMa-70B-Q5K.gguf +3 -0
- Scripturient-V1.1-LLaMa-70B-Q5K.gguf +3 -0
- Scripturient-V1.2-LLaMa-70B-Q5K.gguf +3 -0
- Scripturient-V1.3-LLaMa-70B-Q5K.gguf +3 -0
- Scripturient-V2.0-LLaMa-70B-Q5K.gguf +3 -0
- Scripturient-V2.1-LLaMa-70B-Q5K.gguf +3 -0
- Scripturient-V2.2-LLaMa-70B-Q5K.gguf +3 -0
- Scripturient-V2.3-LLaMa-70B-Q5K.gguf +3 -0
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