- Libraries
- sentence-transformers
How to use Sleem247/legal-ft-1-Q8_0-GGUF with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Sleem247/legal-ft-1-Q8_0-GGUF")
sentences = [
"Why is the use of AI systems particularly important for individuals applying for or receiving public assistance benefits?",
"(48)",
"Another area in which the use of AI systems deserves special consideration is the access to and enjoyment of certain essential private and public services and benefits necessary for people to fully participate in society or to improve one’s standard of living. In particular, natural persons applying for or receiving essential public assistance benefits and services from public authorities namely healthcare services, social security benefits, social services providing protection in cases such as maternity, illness, industrial accidents, dependency or old age and loss of employment and social and housing assistance, are typically dependent on those benefits and services and in a vulnerable position in relation to the responsible authorities.",
"used for biometric verification, which includes authentication, the sole purpose of which is to confirm that a specific natural person is the person he or she claims to be and to confirm the identity of a natural person for the sole purpose of having access to a service, unlocking a device or having security access to premises. That exclusion is justified by the fact that such systems are likely to have a minor impact on fundamental rights of natural persons compared to the remote biometric identification systems which may be used for the processing of the biometric data of a large number of persons without their active involvement. In the case of ‘real-time’ systems, the capturing of the biometric data, the comparison and the"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Sleem247/legal-ft-1-Q8_0-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 Sleem247/legal-ft-1-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf Sleem247/legal-ft-1-Q8_0-GGUF:Q8_0
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Sleem247/legal-ft-1-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf Sleem247/legal-ft-1-Q8_0-GGUF:Q8_0
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 Sleem247/legal-ft-1-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf Sleem247/legal-ft-1-Q8_0-GGUF:Q8_0
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 Sleem247/legal-ft-1-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Sleem247/legal-ft-1-Q8_0-GGUF:Q8_0
Use Docker
docker model run hf.co/Sleem247/legal-ft-1-Q8_0-GGUF:Q8_0
- LM Studio
- Jan
- Ollama
How to use Sleem247/legal-ft-1-Q8_0-GGUF with Ollama:
ollama run hf.co/Sleem247/legal-ft-1-Q8_0-GGUF:Q8_0
- Unsloth Studio
How to use Sleem247/legal-ft-1-Q8_0-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 Sleem247/legal-ft-1-Q8_0-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 Sleem247/legal-ft-1-Q8_0-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Sleem247/legal-ft-1-Q8_0-GGUF to start chatting
- Docker Model Runner
How to use Sleem247/legal-ft-1-Q8_0-GGUF with Docker Model Runner:
docker model run hf.co/Sleem247/legal-ft-1-Q8_0-GGUF:Q8_0
- Lemonade
How to use Sleem247/legal-ft-1-Q8_0-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/
lemonade pull Sleem247/legal-ft-1-Q8_0-GGUF:Q8_0
Run and chat with the model
lemonade run user.legal-ft-1-Q8_0-GGUF-Q8_0
List all available models
lemonade list
- Atomic Chat
