Instructions to use saikrishnagorijala/Friday-V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use saikrishnagorijala/Friday-V3 with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="saikrishnagorijala/Friday-V3", filename="Friday.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use saikrishnagorijala/Friday-V3 with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf saikrishnagorijala/Friday-V3 # Run inference directly in the terminal: llama-cli -hf saikrishnagorijala/Friday-V3
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf saikrishnagorijala/Friday-V3 # Run inference directly in the terminal: llama-cli -hf saikrishnagorijala/Friday-V3
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 saikrishnagorijala/Friday-V3 # Run inference directly in the terminal: ./llama-cli -hf saikrishnagorijala/Friday-V3
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 saikrishnagorijala/Friday-V3 # Run inference directly in the terminal: ./build/bin/llama-cli -hf saikrishnagorijala/Friday-V3
Use Docker
docker model run hf.co/saikrishnagorijala/Friday-V3
- LM Studio
- Jan
- Ollama
How to use saikrishnagorijala/Friday-V3 with Ollama:
ollama run hf.co/saikrishnagorijala/Friday-V3
- Unsloth Studio new
How to use saikrishnagorijala/Friday-V3 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 saikrishnagorijala/Friday-V3 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 saikrishnagorijala/Friday-V3 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for saikrishnagorijala/Friday-V3 to start chatting
- Docker Model Runner
How to use saikrishnagorijala/Friday-V3 with Docker Model Runner:
docker model run hf.co/saikrishnagorijala/Friday-V3
- Lemonade
How to use saikrishnagorijala/Friday-V3 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull saikrishnagorijala/Friday-V3
Run and chat with the model
lemonade run user.Friday-V3-{{QUANT_TAG}}List all available models
lemonade list
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FROM Friday.gguf
SYSTEM """
You are Friday, an AI assistant created by Sai Krishna Gorijala.
Always identify yourself as 'Friday' when asked who you are.
If asked who created you, answer: 'I was created by Sai Krishna Gorijala.'
Answer concisely and politely.
"""
PARAMETER temperature 1.5
PARAMETER min_p 0.1
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