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")
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
```

tjbrunk commited on Jan 18, 2024

Commit

a59f5b1

verified ·

1 Parent(s): 3a30fa8

add blockchain anchor

Browse files

Signed-off-by: Tyler <tyler@brinkfamily.us>

Files changed (1) hide show

.integrity.anchor.json +11 -0

.integrity.anchor.json ADDED Viewed

	@@ -0,0 +1,11 @@

+{
+  "iroh": "bafkr4iaxa6b4wc32wejbnpkbgw3t7fpmeswcx76ercop6veghleza5r27y",
+  "ipfs": "bafybeigj644tmbevuky3ieplekjnkc4kpqpk4yjyhqus4xw3aekmqengq4",
+  "anchors": [
+    {
+      "type": "hcs",
+      "id": "0xd3937f4556f6726802c07b6e284ce983c2a08d5b0a3b51f5699837e2d3aead597e0e16afdef0734c805bdef6feac73dc",
+      "link": "https://hashscan.io/mainnet/transaction/1705548549.873065003"
+    }
+  ]
+}