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
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Download README.md from Antonini01/tinyllama0.011: direct link, hf CLI and curl.
- Browser
- Download file 576 Bytes
-
https://huggingface.co/Antonini01/tinyllama0.011/resolve/main/README.md
- Command line
-
hf download hf://Antonini01/tinyllama0.011/README.md
-
curl -L -o README.md https://huggingface.co/Antonini01/tinyllama0.011/resolve/main/README.md
576 Bytes
| language: | |
| - en | |
| license: apache-2.0 | |
| tags: | |
| - text-generation-inference | |
| - transformers | |
| - unsloth | |
| - llama | |
| - gguf | |
| base_model: unsloth/tinyllama-bnb-4bit | |
| # Uploaded model | |
| - **Developed by:** Antonini01 | |
| - **License:** apache-2.0 | |
| - **Finetuned from model :** unsloth/tinyllama-bnb-4bit | |
| This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. | |
| [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) | |