GGUF
English
text-deidentification
privacy
pii-removal
text2text-generation
medical
legal
hr
llama
minibase
small-model
2048-context
Eval Results (legacy)
Instructions to use Minibase/DeId-Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Minibase/DeId-Small with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Minibase/DeId-Small", filename="model.gguf", )
output = llm( "Once upon a time,", max_tokens=512, echo=True ) print(output)
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use Minibase/DeId-Small with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Minibase/DeId-Small # Run inference directly in the terminal: llama-cli -hf Minibase/DeId-Small
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Minibase/DeId-Small # Run inference directly in the terminal: llama-cli -hf Minibase/DeId-Small
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 Minibase/DeId-Small # Run inference directly in the terminal: ./llama-cli -hf Minibase/DeId-Small
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 Minibase/DeId-Small # Run inference directly in the terminal: ./build/bin/llama-cli -hf Minibase/DeId-Small
Use Docker
docker model run hf.co/Minibase/DeId-Small
- LM Studio
- Jan
- Ollama
How to use Minibase/DeId-Small with Ollama:
ollama run hf.co/Minibase/DeId-Small
- Unsloth Studio new
How to use Minibase/DeId-Small 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 Minibase/DeId-Small 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 Minibase/DeId-Small to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Minibase/DeId-Small to start chatting
- Docker Model Runner
How to use Minibase/DeId-Small with Docker Model Runner:
docker model run hf.co/Minibase/DeId-Small
- Lemonade
How to use Minibase/DeId-Small with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Minibase/DeId-Small
Run and chat with the model
lemonade run user.DeId-Small-{{QUANT_TAG}}List all available models
lemonade list
- Xet hash:
- 899abaf4f843686f4b85adc968124cbde1805a21db40b297e2c2cc958d7f4163
- Size of remote file:
- 2.17 kB
- SHA256:
- 399652f7088a9349378ba861e3c00c4ca73c20cffafa375c497aa5fc081e2a60
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