Instructions to use WeOpenML/PandaLM-Alpaca-7B-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use WeOpenML/PandaLM-Alpaca-7B-v1 with Transformers:

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

pipe = pipeline("text-generation", model="WeOpenML/PandaLM-Alpaca-7B-v1")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("WeOpenML/PandaLM-Alpaca-7B-v1")
model = AutoModelForCausalLM.from_pretrained("WeOpenML/PandaLM-Alpaca-7B-v1", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use WeOpenML/PandaLM-Alpaca-7B-v1 with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/WeOpenML/PandaLM-Alpaca-7B-v1

SGLang

How to use WeOpenML/PandaLM-Alpaca-7B-v1 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 "WeOpenML/PandaLM-Alpaca-7B-v1" \
    --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": "WeOpenML/PandaLM-Alpaca-7B-v1",
		"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 "WeOpenML/PandaLM-Alpaca-7B-v1" \
        --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": "WeOpenML/PandaLM-Alpaca-7B-v1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use WeOpenML/PandaLM-Alpaca-7B-v1 with Docker Model Runner:
```
docker model run hf.co/WeOpenML/PandaLM-Alpaca-7B-v1
```

qianlanwyd commited on Jul 16, 2023

Commit

9953b5d

1 Parent(s): e34dd26

Upload 2 files

Browse files

Files changed (2) hide show

pytorch_model-00001-of-00002.bin +3 -0
pytorch_model-00002-of-00002.bin +3 -0

pytorch_model-00001-of-00002.bin ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:d9dd51914c9ca417fbc094f7a50ee773abf50a2644dbd5a9591cfa65e82cad65
+size 13476889433

pytorch_model-00002-of-00002.bin ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:79394d67a10e42b5a3f780d22db00f2b10a7a8eaaa45e3294791fc376e744144
+size 13476861946