Instructions to use OG-Tiro/Llama3dumbbabytiro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use OG-Tiro/Llama3dumbbabytiro with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="OG-Tiro/Llama3dumbbabytiro")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("OG-Tiro/Llama3dumbbabytiro")
model = AutoModelForCausalLM.from_pretrained("OG-Tiro/Llama3dumbbabytiro", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use OG-Tiro/Llama3dumbbabytiro with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "OG-Tiro/Llama3dumbbabytiro"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OG-Tiro/Llama3dumbbabytiro",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/OG-Tiro/Llama3dumbbabytiro

SGLang

How to use OG-Tiro/Llama3dumbbabytiro with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "OG-Tiro/Llama3dumbbabytiro" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OG-Tiro/Llama3dumbbabytiro",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "OG-Tiro/Llama3dumbbabytiro" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OG-Tiro/Llama3dumbbabytiro",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use OG-Tiro/Llama3dumbbabytiro with Docker Model Runner:
```
docker model run hf.co/OG-Tiro/Llama3dumbbabytiro
```

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WElCOME TO BABYTIRO!

Model Card for Model ID

This is the first and dumbest model Tiro will ever release. It's only upwards from here. Please don't try to use this for anything because it probably sucks.

Model Description

This model provides feedback to a users answers to flashcards. Barely.

Downloads last month: -

Safetensors

Model size

8B params

Tensor type

BF16