Instructions to use UniverseTBD/astrollama-7b-chat-alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use UniverseTBD/astrollama-7b-chat-alpha with Transformers:

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

pipe = pipeline("text-generation", model="UniverseTBD/astrollama-7b-chat-alpha")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("UniverseTBD/astrollama-7b-chat-alpha")
model = AutoModelForCausalLM.from_pretrained("UniverseTBD/astrollama-7b-chat-alpha", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use UniverseTBD/astrollama-7b-chat-alpha with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/UniverseTBD/astrollama-7b-chat-alpha

SGLang

How to use UniverseTBD/astrollama-7b-chat-alpha 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 "UniverseTBD/astrollama-7b-chat-alpha" \
    --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": "UniverseTBD/astrollama-7b-chat-alpha",
		"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 "UniverseTBD/astrollama-7b-chat-alpha" \
        --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": "UniverseTBD/astrollama-7b-chat-alpha",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use UniverseTBD/astrollama-7b-chat-alpha with Docker Model Runner:
```
docker model run hf.co/UniverseTBD/astrollama-7b-chat-alpha
```

Are there astro RAGs available to download?

by arpigrigor - opened Mar 12, 2024

Discussion

arpigrigor

Mar 12, 2024

Hi! I found AstroLlama looking through the arXiv. We are a small research group that is interested in starting a project that requires a RAG containing scientific knowledge. Is there any chance the developers know if such a RAG has been made and publicly available containing astro (or really any technical or science) knowledge? That would save us considerable time! Thank You - Arpi

errai34

UniverseTBD org Apr 24, 2024

Hi Arpi, We are now working on making this a reality using the latest models. We will keep you updated! Thank you for your interest in our work.

arpigrigor

Apr 24, 2024

Awesome, thanks!

arpigrigor changed discussion status to closed Apr 24, 2024

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment