Instructions to use Antonini01/tinyllamaT-23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Antonini01/tinyllamaT-23 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Antonini01/tinyllamaT-23", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Antonini01/tinyllamaT-23 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/tinyllamaT-23:Q4_K_M # Run inference directly in the terminal: llama cli -hf Antonini01/tinyllamaT-23: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/tinyllamaT-23:Q4_K_M # Run inference directly in the terminal: llama cli -hf Antonini01/tinyllamaT-23: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/tinyllamaT-23:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Antonini01/tinyllamaT-23: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/tinyllamaT-23:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Antonini01/tinyllamaT-23:Q4_K_M
Use Docker
docker model run hf.co/Antonini01/tinyllamaT-23:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Antonini01/tinyllamaT-23 with Ollama:
ollama run hf.co/Antonini01/tinyllamaT-23:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use Antonini01/tinyllamaT-23 with Docker Model Runner:
docker model run hf.co/Antonini01/tinyllamaT-23:Q4_K_M
- Lemonade
How to use Antonini01/tinyllamaT-23 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Antonini01/tinyllamaT-23:Q4_K_M
Run and chat with the model
lemonade run user.tinyllamaT-23-Q4_K_M
List all available models
lemonade list
- Atomic Chat
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Download README.md from Antonini01/tinyllamaT-23: direct link, hf CLI and curl.
- Browser
- Download file 576 Bytes
-
https://huggingface.co/Antonini01/tinyllamaT-23/resolve/1c4627e1221f88600866eaec42f79f754d3798db/README.md
- Command line
-
hf download hf://Antonini01/tinyllamaT-23@1c4627e1221f88600866eaec42f79f754d3798db/README.md
-
curl -L -o README.md https://huggingface.co/Antonini01/tinyllamaT-23/resolve/1c4627e1221f88600866eaec42f79f754d3798db/README.md
576 Bytes
metadata
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 and Huggingface's TRL library.
