linagora/Tunisian_Derja_Dataset
Viewer • Updated • 2.23M • 386 • 5
How to use linagora/Labess-7b-chat-gguf with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("linagora/Labess-7b-chat-gguf", dtype="auto")How to use linagora/Labess-7b-chat-gguf with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="linagora/Labess-7b-chat-gguf", filename="unsloth.F16.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
How to use linagora/Labess-7b-chat-gguf with llama.cpp:
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf linagora/Labess-7b-chat-gguf:Q4_K_M # Run inference directly in the terminal: llama-cli -hf linagora/Labess-7b-chat-gguf:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf linagora/Labess-7b-chat-gguf:Q4_K_M # Run inference directly in the terminal: llama-cli -hf linagora/Labess-7b-chat-gguf:Q4_K_M
# 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 linagora/Labess-7b-chat-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf linagora/Labess-7b-chat-gguf:Q4_K_M
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 linagora/Labess-7b-chat-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf linagora/Labess-7b-chat-gguf:Q4_K_M
docker model run hf.co/linagora/Labess-7b-chat-gguf:Q4_K_M
How to use linagora/Labess-7b-chat-gguf with Ollama:
ollama run hf.co/linagora/Labess-7b-chat-gguf:Q4_K_M
How to use linagora/Labess-7b-chat-gguf with Unsloth Studio:
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 linagora/Labess-7b-chat-gguf to start chatting
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 linagora/Labess-7b-chat-gguf to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for linagora/Labess-7b-chat-gguf to start chatting
How to use linagora/Labess-7b-chat-gguf with Docker Model Runner:
docker model run hf.co/linagora/Labess-7b-chat-gguf:Q4_K_M
How to use linagora/Labess-7b-chat-gguf with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull linagora/Labess-7b-chat-gguf:Q4_K_M
lemonade run user.Labess-7b-chat-gguf-Q4_K_M
lemonade list
Labess-7b-chat is an open model instruction-tuned for Tunisian Derja, it's a continual pre-training version of jais-adapted-7b-chat with tunisian_Derja_Dataset
ollama run hf.co/linagora/Labess-7b-chat-gguf:Q4_K_M
3-bit
4-bit
5-bit
6-bit
8-bit
16-bit
Base model
meta-llama/Llama-2-7b