Instructions to use eci-io/climategpt-13b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use eci-io/climategpt-13b with Transformers:

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

pipe = pipeline("text-generation", model="eci-io/climategpt-13b")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("eci-io/climategpt-13b")
model = AutoModelForCausalLM.from_pretrained("eci-io/climategpt-13b", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use eci-io/climategpt-13b with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/eci-io/climategpt-13b

SGLang

How to use eci-io/climategpt-13b 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 "eci-io/climategpt-13b" \
    --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": "eci-io/climategpt-13b",
		"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 "eci-io/climategpt-13b" \
        --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": "eci-io/climategpt-13b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use eci-io/climategpt-13b with Docker Model Runner:
```
docker model run hf.co/eci-io/climategpt-13b
```

climategpt-13b

File size: 1,044 Bytes

661249d

{"node":{"id":"urn:cid:bafkr4iatfs446cbmqm5xl6gdhgxpofyyyycu2lz2mrgeldy75m46b42y4i","properties":{"nodeType":"data","registeredBy":"did:key:zDnaewYp6qTyiZQHaojxV6ZvvZCuMtRkEfWDMTwC8h94pK2SG","storedOn":["urn:cid:baga6yaq6ecs5c5ey2gfjs2dnitol53ihmnylbonv55mgrfxvjgvu4ibh3wodq"],"dataRegistrationJcs":"urn:cid:baga6yaq6earliiqj4xnbn5bt4qa4eoaz6ebrg7hmtzihzjekl3jcdbejhm3oq","timestamp":"2023-12-09T06:56:09Z","storageRegistrationsJcs":["urn:cid:baga6yaq6ebehnb7egan4j62bimxunluqi6zbofe3lytjpel24hkr7x2pqlmm4"]}},"enrichments":{"asset_hub":{"asset_id":24,"asset_name":"LlaMa2-Chat-13B","owning_project":"ECI_ClimateGPT","asset_description":"General model","asset_format":"transformer","asset_type":"Model","asset_blob_type":"iroh-collection","source_location_url":"https://huggingface.co/meta-llama/Llama-2-13b-hf","contact_info":"https://eci.io","license":"Custom License - Refer to the official site for terms","license_link":"https://eci.io/","registered_date":"2023-12-02T00:58:52.868126Z","last_modified_date":"2024-01-05T01:12:21.862255Z"}}}