Doncle/tooboo
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How to use Doncle/Toobo_GGUF_V2 with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Doncle/Toobo_GGUF_V2", device_map="auto")How to use Doncle/Toobo_GGUF_V2 with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Doncle/Toobo_GGUF_V2:Q4_K_M # Run inference directly in the terminal: llama cli -hf Doncle/Toobo_GGUF_V2:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Doncle/Toobo_GGUF_V2:Q4_K_M # Run inference directly in the terminal: llama cli -hf Doncle/Toobo_GGUF_V2: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 Doncle/Toobo_GGUF_V2:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Doncle/Toobo_GGUF_V2: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 Doncle/Toobo_GGUF_V2:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Doncle/Toobo_GGUF_V2:Q4_K_M
docker model run hf.co/Doncle/Toobo_GGUF_V2:Q4_K_M
How to use Doncle/Toobo_GGUF_V2 with Ollama:
ollama run hf.co/Doncle/Toobo_GGUF_V2:Q4_K_M
How to use Doncle/Toobo_GGUF_V2 with Docker Model Runner:
docker model run hf.co/Doncle/Toobo_GGUF_V2:Q4_K_M
How to use Doncle/Toobo_GGUF_V2 with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Doncle/Toobo_GGUF_V2:Q4_K_M
lemonade run user.Toobo_GGUF_V2-Q4_K_M
lemonade list
Bonjour je suis tooboo le bonobo 🐒, je suis là pour t'aider sur la météo d'aujourd'hui🌈. N'hesite pas à me demander le temps qu'il fera chez toi ✨🐵
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
4-bit