Instructions to use LargeWorldModel/LWM-Text-Chat-1M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use LargeWorldModel/LWM-Text-Chat-1M with Transformers:

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

pipe = pipeline("text-generation", model="LargeWorldModel/LWM-Text-Chat-1M")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("LargeWorldModel/LWM-Text-Chat-1M")
model = AutoModelForCausalLM.from_pretrained("LargeWorldModel/LWM-Text-Chat-1M")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use LargeWorldModel/LWM-Text-Chat-1M with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "LargeWorldModel/LWM-Text-Chat-1M"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "LargeWorldModel/LWM-Text-Chat-1M",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/LargeWorldModel/LWM-Text-Chat-1M

SGLang

How to use LargeWorldModel/LWM-Text-Chat-1M 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 "LargeWorldModel/LWM-Text-Chat-1M" \
    --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": "LargeWorldModel/LWM-Text-Chat-1M",
		"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 "LargeWorldModel/LWM-Text-Chat-1M" \
        --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": "LargeWorldModel/LWM-Text-Chat-1M",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use LargeWorldModel/LWM-Text-Chat-1M with Docker Model Runner:
```
docker model run hf.co/LargeWorldModel/LWM-Text-Chat-1M
```

Demo

by arthurwolf - opened Feb 18, 2024

Discussion

arthurwolf

Feb 18, 2024

I'd really like to try this out to see it's capabilities before deciding to run it locally, anyone know of an online demo for this like most models have?

Thanks.

tmppro

Feb 19, 2024

This comment has been hidden

Arunmass

Feb 19, 2024

API is disabled so you have to spend some cash for inference.

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