Instructions to use derek-thomas/jais-13b-chat-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use derek-thomas/jais-13b-chat-hf with Transformers:

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

pipe = pipeline("text-generation", model="derek-thomas/jais-13b-chat-hf", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("derek-thomas/jais-13b-chat-hf", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use derek-thomas/jais-13b-chat-hf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "derek-thomas/jais-13b-chat-hf"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "derek-thomas/jais-13b-chat-hf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/derek-thomas/jais-13b-chat-hf

SGLang

How to use derek-thomas/jais-13b-chat-hf 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 "derek-thomas/jais-13b-chat-hf" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "derek-thomas/jais-13b-chat-hf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "derek-thomas/jais-13b-chat-hf" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "derek-thomas/jais-13b-chat-hf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use derek-thomas/jais-13b-chat-hf with Docker Model Runner:
```
docker model run hf.co/derek-thomas/jais-13b-chat-hf
```

jais-13b-chat-hf / handler.py

Commit History

Fixing local mistake

e888c38

derek-thomas commited on Nov 10, 2023

Fixing return structure

d29dd9f

derek-thomas commited on Nov 10, 2023

Updating with jais's new handler

19c1b44

derek-thomas commited on Nov 10, 2023

Trying max length of 2k

7c37fba

derek-thomas commited on Nov 4, 2023

Improving variable names

9f5114b

derek-thomas commited on Nov 2, 2023

Fixing handler

1d06a03

EC2 Default User commited on Nov 1, 2023

Adding handler for inference endpoints

e0fdb2f

EC2 Default User commited on Nov 1, 2023

Commit History

Fixing local mistake e888c38

Fixing return structure d29dd9f

Updating with jais's new handler 19c1b44

Trying max length of 2k 7c37fba

Improving variable names 9f5114b

Fixing handler 1d06a03

Adding handler for inference endpoints e0fdb2f

Fixing local mistake

e888c38

Fixing return structure

d29dd9f

Updating with jais's new handler

19c1b44

Trying max length of 2k

7c37fba

Improving variable names

9f5114b

Fixing handler

1d06a03

Adding handler for inference endpoints

e0fdb2f