Instructions to use masonlf/llama3.2-3b-elecfinetune 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 masonlf/llama3.2-3b-elecfinetune 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 masonlf/llama3.2-3b-elecfinetune # Run inference directly in the terminal: llama cli -hf masonlf/llama3.2-3b-elecfinetune
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf masonlf/llama3.2-3b-elecfinetune # Run inference directly in the terminal: llama cli -hf masonlf/llama3.2-3b-elecfinetune
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 masonlf/llama3.2-3b-elecfinetune # Run inference directly in the terminal: ./llama-cli -hf masonlf/llama3.2-3b-elecfinetune
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 masonlf/llama3.2-3b-elecfinetune # Run inference directly in the terminal: ./build/bin/llama-cli -hf masonlf/llama3.2-3b-elecfinetune
Use Docker
docker model run hf.co/masonlf/llama3.2-3b-elecfinetune
- LM Studio
- Jan
- Ollama
How to use masonlf/llama3.2-3b-elecfinetune with Ollama:
ollama run hf.co/masonlf/llama3.2-3b-elecfinetune
- Unsloth Studio
How to use masonlf/llama3.2-3b-elecfinetune 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 masonlf/llama3.2-3b-elecfinetune 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 masonlf/llama3.2-3b-elecfinetune to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for masonlf/llama3.2-3b-elecfinetune to start chatting
- Docker Model Runner
How to use masonlf/llama3.2-3b-elecfinetune with Docker Model Runner:
docker model run hf.co/masonlf/llama3.2-3b-elecfinetune
- Lemonade
How to use masonlf/llama3.2-3b-elecfinetune with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull masonlf/llama3.2-3b-elecfinetune
Run and chat with the model
lemonade run user.llama3.2-3b-elecfinetune-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Upload 2 files
Browse files- .gitattributes +1 -0
- Llama-3.2-3B-Finetune-q4k.gguf +3 -0
- Modelfile +13 -0
.gitattributes
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FROM ./Llama-3.2-3B-Finetune-q4k.gguf
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TEMPLATE """<|begin_of_text|><|start_header_id|>system<|end_header_id|>
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{{ .System }}<|eot_id|><|start_header_id|>user<|end_header_id|>
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{{ .Prompt }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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"""
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PARAMETER stop "<|eot_id|>"
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PARAMETER temperature 0.7
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PARAMETER top_p 0.9
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