Instructions to use Antonini01/tinyllama0.011 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Antonini01/tinyllama0.011 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Antonini01/tinyllama0.011", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Antonini01/tinyllama0.011 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 Antonini01/tinyllama0.011:Q4_K_M # Run inference directly in the terminal: llama cli -hf Antonini01/tinyllama0.011:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Antonini01/tinyllama0.011:Q4_K_M # Run inference directly in the terminal: llama cli -hf Antonini01/tinyllama0.011:Q4_K_M
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 Antonini01/tinyllama0.011:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Antonini01/tinyllama0.011:Q4_K_M
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 Antonini01/tinyllama0.011:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Antonini01/tinyllama0.011:Q4_K_M
Use Docker
docker model run hf.co/Antonini01/tinyllama0.011:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Antonini01/tinyllama0.011 with Ollama:
ollama run hf.co/Antonini01/tinyllama0.011:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use Antonini01/tinyllama0.011 with Docker Model Runner:
docker model run hf.co/Antonini01/tinyllama0.011:Q4_K_M
- Lemonade
How to use Antonini01/tinyllama0.011 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Antonini01/tinyllama0.011:Q4_K_M
Run and chat with the model
lemonade run user.tinyllama0.011-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download tinyllama0.011-unsloth.Q4_K_M.gguf from Antonini01/tinyllama0.011: direct link, hf CLI and curl.
- Browser
- Download file 668 MB
-
https://huggingface.co/Antonini01/tinyllama0.011/resolve/main/tinyllama0.011-unsloth.Q4_K_M.gguf
- Command line
-
hf download hf://Antonini01/tinyllama0.011/tinyllama0.011-unsloth.Q4_K_M.gguf
-
curl -L -o tinyllama0.011-unsloth.Q4_K_M.gguf https://huggingface.co/Antonini01/tinyllama0.011/resolve/main/tinyllama0.011-unsloth.Q4_K_M.gguf
668 MB
- Xet hash:
- d819a1034a81b98ea27d29372cec3e20d7be8e58722c1232f6a6168436cc21e7
- Size of remote file:
- 668 MB
- SHA256:
- 20f82e31b1b7ffa7ef3ed81010fce1b2d62c085dd84e3e9581cee4d414592671
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