Instructions to use Skywork/Skywork-13B-Base-8bits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Skywork/Skywork-13B-Base-8bits with Transformers:

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

pipe = pipeline("text-generation", model="Skywork/Skywork-13B-Base-8bits", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("Skywork/Skywork-13B-Base-8bits", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Skywork/Skywork-13B-Base-8bits with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Skywork/Skywork-13B-Base-8bits"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Skywork/Skywork-13B-Base-8bits",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Skywork/Skywork-13B-Base-8bits

SGLang

How to use Skywork/Skywork-13B-Base-8bits 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 "Skywork/Skywork-13B-Base-8bits" \
    --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": "Skywork/Skywork-13B-Base-8bits",
		"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 "Skywork/Skywork-13B-Base-8bits" \
        --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": "Skywork/Skywork-13B-Base-8bits",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Skywork/Skywork-13B-Base-8bits with Docker Model Runner:
```
docker model run hf.co/Skywork/Skywork-13B-Base-8bits
```

Skywork-13B-Base-8bits

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Commit History

Update README.md 9e5ac6a

Update README.md 04fb932

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Update README.md 72f9ec7

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Update README.md dc955ae

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Update README.md 34e9542

update model and config 7d2490b

update model and config 27905ba

update model and config 75ddae4

update model and config b274ce6

Merge branch 'main' of hf.co:Skywork/Skywork-13B-Base-8bits into main 96b2e3e

update model and config 0765286

Update README.md 50793ba

update model and config ba9137a

update model and config 8408678

initial commit d4d6a81

Update README.md

9e5ac6a

Update README.md

04fb932

Update README.md

c6f8a7b

Update README.md

a2eabc2

remove unused bin files

360a4dd

Update README.md

72f9ec7

Update README.md

5e487d2

Update README.md

dc955ae

Update README.md

951c5fb

Update README.md

34e9542

update model and config

7d2490b

update model and config

27905ba

update model and config

75ddae4

update model and config

b274ce6

Merge branch 'main' of hf.co:Skywork/Skywork-13B-Base-8bits into main

96b2e3e

update model and config

0765286

Update README.md

50793ba

update model and config

ba9137a

update model and config

8408678

initial commit

d4d6a81