Instructions to use GOAT-AI/GOAT-7B-Community with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use GOAT-AI/GOAT-7B-Community with Transformers:

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

pipe = pipeline("text-generation", model="GOAT-AI/GOAT-7B-Community")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("GOAT-AI/GOAT-7B-Community")
model = AutoModelForCausalLM.from_pretrained("GOAT-AI/GOAT-7B-Community")

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use GOAT-AI/GOAT-7B-Community with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "GOAT-AI/GOAT-7B-Community"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "GOAT-AI/GOAT-7B-Community",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/GOAT-AI/GOAT-7B-Community

SGLang

How to use GOAT-AI/GOAT-7B-Community 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 "GOAT-AI/GOAT-7B-Community" \
    --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": "GOAT-AI/GOAT-7B-Community",
		"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 "GOAT-AI/GOAT-7B-Community" \
        --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": "GOAT-AI/GOAT-7B-Community",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use GOAT-AI/GOAT-7B-Community with Docker Model Runner:
```
docker model run hf.co/GOAT-AI/GOAT-7B-Community
```

goatai commited on Nov 16, 2023

Commit

8a5bda1

1 Parent(s): 7b57216

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@@ -24,7 +24,7 @@ GOAT-7B-Community model is supervised finetuned (SFT) version of LLaMA 2 develop
 ### Learn more
 - **Blog:** https://www.blog.goat.ai/goat-7b-community-tops-among-7b-models/
-- **Paper:** Coming soon
 - **Demo:** https://3f3fb57083197123c8.gradio.live/
 ## Uses

 ### Learn more
 - **Blog:** https://www.blog.goat.ai/goat-7b-community-tops-among-7b-models/
+- **Paper:** https://arxiv.org/abs/2308.13449
 - **Demo:** https://3f3fb57083197123c8.gradio.live/
 ## Uses