Instructions to use biololab/tinyllama-symptom-extractor_16bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use biololab/tinyllama-symptom-extractor_16bit with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("biololab/tinyllama-symptom-extractor_16bit", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use biololab/tinyllama-symptom-extractor_16bit 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 biololab/tinyllama-symptom-extractor_16bit:F16
# Run inference directly in the terminal:
llama cli -hf biololab/tinyllama-symptom-extractor_16bit:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf biololab/tinyllama-symptom-extractor_16bit:F16
# Run inference directly in the terminal:
llama cli -hf biololab/tinyllama-symptom-extractor_16bit:F16

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 biololab/tinyllama-symptom-extractor_16bit:F16
# Run inference directly in the terminal:
./llama-cli -hf biololab/tinyllama-symptom-extractor_16bit:F16

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 biololab/tinyllama-symptom-extractor_16bit:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf biololab/tinyllama-symptom-extractor_16bit:F16

Use Docker

docker model run hf.co/biololab/tinyllama-symptom-extractor_16bit:F16

LM Studio
Jan
Ollama
How to use biololab/tinyllama-symptom-extractor_16bit with Ollama:
```
ollama run hf.co/biololab/tinyllama-symptom-extractor_16bit:F16
```
Unsloth Desktop
Docker Model Runner
How to use biololab/tinyllama-symptom-extractor_16bit with Docker Model Runner:
```
docker model run hf.co/biololab/tinyllama-symptom-extractor_16bit:F16
```

Lemonade

How to use biololab/tinyllama-symptom-extractor_16bit with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull biololab/tinyllama-symptom-extractor_16bit:F16

Run and chat with the model

lemonade run user.tinyllama-symptom-extractor_16bit-F16

List all available models

lemonade list

Atomic Chat

tinyllama-symptom-extractor_16bit / config.json

biololab

(Trained with Unsloth)

4521733 verified over 2 years ago

Raw History Blame

29 Bytes

	{
	"model_type": "llama"
	}