Instructions to use VMware/xgen-7b-8k-open-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use VMware/xgen-7b-8k-open-instruct with Transformers:

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

pipe = pipeline("text-generation", model="VMware/xgen-7b-8k-open-instruct")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("VMware/xgen-7b-8k-open-instruct")
model = AutoModelForCausalLM.from_pretrained("VMware/xgen-7b-8k-open-instruct")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use VMware/xgen-7b-8k-open-instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "VMware/xgen-7b-8k-open-instruct"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "VMware/xgen-7b-8k-open-instruct",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/VMware/xgen-7b-8k-open-instruct

SGLang

How to use VMware/xgen-7b-8k-open-instruct 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 "VMware/xgen-7b-8k-open-instruct" \
    --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": "VMware/xgen-7b-8k-open-instruct",
		"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 "VMware/xgen-7b-8k-open-instruct" \
        --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": "VMware/xgen-7b-8k-open-instruct",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use VMware/xgen-7b-8k-open-instruct with Docker Model Runner:
```
docker model run hf.co/VMware/xgen-7b-8k-open-instruct
```

xgen-7b-8k-open-instruct

Commit History

Adding `safetensors` variant of this model (#2)

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Update README.md

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Update tokenizer_config.json

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Create tokenization_xgen.py

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Update README.md

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a54e47e

Teja-Gollapudi commited on Jul 2, 2023

Update README.md

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Teja-Gollapudi commited on Jul 2, 2023

Create README.md

38621ba

Teja-Gollapudi commited on Jul 2, 2023

Upload tokenizer

778d9ed

Teja-Gollapudi commited on Jul 2, 2023

Upload LlamaForCausalLM

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Teja-Gollapudi commited on Jul 2, 2023

initial commit

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Teja-Gollapudi commited on Jul 2, 2023

Commit History

Adding `safetensors` variant of this model (#2) 2afb9d2 verified

Update README.md 15b763c

Update README.md b093c27

Update README.md fea26e5

Update README.md 480b107

Update tokenizer_config.json 5150184

Create tokenization_xgen.py 085f757

Update README.md 06073ac

Update README.md fb0b223

Update README.md 714c19e

Update README.md a54e47e

Update README.md 5a9d58d

Create README.md 38621ba

Upload tokenizer 778d9ed

Upload LlamaForCausalLM b5bf5ba

initial commit 9b5a64f

Adding `safetensors` variant of this model (#2)

2afb9d2
verified

Update README.md

15b763c

Update README.md

b093c27

Update README.md

fea26e5

Update README.md

480b107

Update tokenizer_config.json

5150184

Create tokenization_xgen.py

085f757

Update README.md

06073ac

Update README.md

fb0b223

Update README.md

714c19e

Update README.md

a54e47e

Update README.md

5a9d58d

Create README.md

38621ba

Upload tokenizer

778d9ed

Upload LlamaForCausalLM

b5bf5ba

initial commit

9b5a64f