Instructions to use FINAL-Bench/Darwin-60B-DUO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FINAL-Bench/Darwin-60B-DUO with Transformers:

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

pipe = pipeline("text-generation", model="FINAL-Bench/Darwin-60B-DUO")

# pip install -U transformers accelerate
# Load model directly
from transformers import DarwinDuoOrchestrator
model = DarwinDuoOrchestrator.from_pretrained("FINAL-Bench/Darwin-60B-DUO", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use FINAL-Bench/Darwin-60B-DUO with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FINAL-Bench/Darwin-60B-DUO"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FINAL-Bench/Darwin-60B-DUO",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/FINAL-Bench/Darwin-60B-DUO

SGLang

How to use FINAL-Bench/Darwin-60B-DUO 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 "FINAL-Bench/Darwin-60B-DUO" \
    --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": "FINAL-Bench/Darwin-60B-DUO",
		"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 "FINAL-Bench/Darwin-60B-DUO" \
        --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": "FINAL-Bench/Darwin-60B-DUO",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use FINAL-Bench/Darwin-60B-DUO with Docker Model Runner:
```
docker model run hf.co/FINAL-Bench/Darwin-60B-DUO
```

SeaWolf-AI commited on May 28

Commit

3b9f2fc

verified ·

1 Parent(s): b720caf

card: add Darwin-60B-DUO header image

Browse files

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README.md +4 -0

README.md CHANGED Viewed

@@ -23,6 +23,10 @@ base_model:
 - Anserwise/AWAXIS-Think-31B
 ---
 # Darwin-60B-DUO
 > The Darwin family's first **DUO** model — two domain-verified SOTA models served as a single OpenAI-compatible endpoint.

 - Anserwise/AWAXIS-Think-31B
 ---
+<p align="center">
+  <img src="image.png" alt="Darwin-60B-DUO" width="640">
+</p>
 # Darwin-60B-DUO
 > The Darwin family's first **DUO** model — two domain-verified SOTA models served as a single OpenAI-compatible endpoint.