Instructions to use Ateron/Predonia-24B-V2.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Ateron/Predonia-24B-V2.1 with Transformers:

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

pipe = pipeline("text-generation", model="Ateron/Predonia-24B-V2.1")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("Ateron/Predonia-24B-V2.1")
model = AutoModelForMultimodalLM.from_pretrained("Ateron/Predonia-24B-V2.1")

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Ateron/Predonia-24B-V2.1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Ateron/Predonia-24B-V2.1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Ateron/Predonia-24B-V2.1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Ateron/Predonia-24B-V2.1

SGLang

How to use Ateron/Predonia-24B-V2.1 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 "Ateron/Predonia-24B-V2.1" \
    --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": "Ateron/Predonia-24B-V2.1",
		"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 "Ateron/Predonia-24B-V2.1" \
        --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": "Ateron/Predonia-24B-V2.1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Ateron/Predonia-24B-V2.1 with Docker Model Runner:
```
docker model run hf.co/Ateron/Predonia-24B-V2.1
```

Predonia-24B-V2.1 / model-00008-of-00010.safetensors

Ateron

Upload 17 files

4f7d482 verified 6 months ago

download

history blame contribute delete

4.78 GB

This file is stored with Xet . It is too big to display, but you can still download it.

Xet Pointer Details

( Raw pointer file )

Xet hash:: 493cc1af2ea46c89084cfdfa9c00000c3b043b140463f98e8be7749c66d72889
Size of remote file:: 4.78 GB
SHA256:: 089b0b6c1c6e11debbcb8739ed19488d811829ff75e1bcd25158a70374f3c559

Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.