Instructions to use Sandeep4235/llama3-8b-Wisdom-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Sandeep4235/llama3-8b-Wisdom-gguf with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Sandeep4235/llama3-8b-Wisdom-gguf", filename="llama-3-8b.Q4_K_M.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Sandeep4235/llama3-8b-Wisdom-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 Sandeep4235/llama3-8b-Wisdom-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf Sandeep4235/llama3-8b-Wisdom-gguf:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Sandeep4235/llama3-8b-Wisdom-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf Sandeep4235/llama3-8b-Wisdom-gguf:Q4_K_M
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 Sandeep4235/llama3-8b-Wisdom-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Sandeep4235/llama3-8b-Wisdom-gguf:Q4_K_M
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 Sandeep4235/llama3-8b-Wisdom-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Sandeep4235/llama3-8b-Wisdom-gguf:Q4_K_M
Use Docker
docker model run hf.co/Sandeep4235/llama3-8b-Wisdom-gguf:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Sandeep4235/llama3-8b-Wisdom-gguf with Ollama:
ollama run hf.co/Sandeep4235/llama3-8b-Wisdom-gguf:Q4_K_M
- Unsloth Studio
How to use Sandeep4235/llama3-8b-Wisdom-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 Sandeep4235/llama3-8b-Wisdom-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 Sandeep4235/llama3-8b-Wisdom-gguf to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Sandeep4235/llama3-8b-Wisdom-gguf to start chatting
- Atomic Chat new
- Docker Model Runner
How to use Sandeep4235/llama3-8b-Wisdom-gguf with Docker Model Runner:
docker model run hf.co/Sandeep4235/llama3-8b-Wisdom-gguf:Q4_K_M
- Lemonade
How to use Sandeep4235/llama3-8b-Wisdom-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Sandeep4235/llama3-8b-Wisdom-gguf:Q4_K_M
Run and chat with the model
lemonade run user.llama3-8b-Wisdom-gguf-Q4_K_M
List all available models
lemonade list
llama3-8b-Wisdom-gguf : GGUF
Developed by: Sandeep Hipparagi
Bio: AI Engineer, leveraging machine learning to address the gap between AI frontier models and open-source models, challenge of information inequality by creating tools that provide reliable and accessible information to diverse communities.
Model Overview
This model has been intricately fine-tuned to echo the profound wisdom of ancient spiritual, mystic, and yogic sciences. It bridges the gap between boundless mysticism and contemporary understanding, making deep, transformative insights highly accessible to a modern, global audience. Whether exploring the inner dimensions of existence or seeking clarity on the spiritual path, this model serves as a digital vessel for timeless wisdom.
This model was finetuned and converted to GGUF format using Unsloth.
Example Usage
- For text-only LLMs:
llama-cli -hf Sandeep4235/llama3-8b-Wisdom-gguf --jinja - For multimodal models:
llama-mtmd-cli -hf Sandeep4235/llama3-8b-Wisdom-gguf --jinja
Available Model Files
llama-3-8b.Q4_K_M.gguf
This model was trained 2x faster with Unsloth. 
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