Instructions to use ausboss/SuperCOT-70B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ausboss/SuperCOT-70B with Transformers:

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

pipe = pipeline("text-generation", model="ausboss/SuperCOT-70B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("ausboss/SuperCOT-70B")
model = AutoModelForMultimodalLM.from_pretrained("ausboss/SuperCOT-70B")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use ausboss/SuperCOT-70B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ausboss/SuperCOT-70B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ausboss/SuperCOT-70B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/ausboss/SuperCOT-70B

SGLang

How to use ausboss/SuperCOT-70B 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 "ausboss/SuperCOT-70B" \
    --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": "ausboss/SuperCOT-70B",
		"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 "ausboss/SuperCOT-70B" \
        --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": "ausboss/SuperCOT-70B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use ausboss/SuperCOT-70B with Docker Model Runner:
```
docker model run hf.co/ausboss/SuperCOT-70B
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

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Check out the documentation for more information.

Special thanks to Alpin, Tav and the rest of the Pygmalion peeps involved in training this one. Its trained on the supercot dataset like my other qloras and models. I'll update the card with more info soon.

Might be a bit overbaked 🧑‍🍳🔥

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