Instructions to use abdymazhit/tinyllama-gguf-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdymazhit/tinyllama-gguf-8b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("abdymazhit/tinyllama-gguf-8b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use abdymazhit/tinyllama-gguf-8b 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 abdymazhit/tinyllama-gguf-8b:Q8_0 # Run inference directly in the terminal: llama cli -hf abdymazhit/tinyllama-gguf-8b:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf abdymazhit/tinyllama-gguf-8b:Q8_0 # Run inference directly in the terminal: llama cli -hf abdymazhit/tinyllama-gguf-8b:Q8_0
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 abdymazhit/tinyllama-gguf-8b:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf abdymazhit/tinyllama-gguf-8b:Q8_0
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 abdymazhit/tinyllama-gguf-8b:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf abdymazhit/tinyllama-gguf-8b:Q8_0
Use Docker
docker model run hf.co/abdymazhit/tinyllama-gguf-8b:Q8_0
- LM Studio
- Jan
- Ollama
How to use abdymazhit/tinyllama-gguf-8b with Ollama:
ollama run hf.co/abdymazhit/tinyllama-gguf-8b:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use abdymazhit/tinyllama-gguf-8b with Docker Model Runner:
docker model run hf.co/abdymazhit/tinyllama-gguf-8b:Q8_0
- Lemonade
How to use abdymazhit/tinyllama-gguf-8b with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull abdymazhit/tinyllama-gguf-8b:Q8_0
Run and chat with the model
lemonade run user.tinyllama-gguf-8b-Q8_0
List all available models
lemonade list
- Atomic Chat
Download unsloth.Q8_0.gguf from abdymazhit/tinyllama-gguf-8b: direct link, hf CLI and curl.
- Browser
- Download file 1.17 GB
-
https://huggingface.co/abdymazhit/tinyllama-gguf-8b/resolve/main/unsloth.Q8_0.gguf
- Command line
-
hf download hf://abdymazhit/tinyllama-gguf-8b/unsloth.Q8_0.gguf
-
curl -L -o unsloth.Q8_0.gguf https://huggingface.co/abdymazhit/tinyllama-gguf-8b/resolve/main/unsloth.Q8_0.gguf
1.17 GB
- Xet hash:
- 6096c08ada1c47dee1df622bde1f4c709b33287570c08762dd378bae19332819
- Size of remote file:
- 1.17 GB
- SHA256:
- ca3c326d42724c3e198bbb386bb78c4111cc6548a58979264081f29477b9c312
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