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

6a528da

verified ·

1 Parent(s): 661249d

update users

Browse files

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

Files changed (1) hide show

.integrity/users.json +32 -20

.integrity/users.json CHANGED Viewed

@@ -1,40 +1,52 @@
 {
   "results": [
     {
-      "id": 5,
-      "username": "eci-signer",
-      "firstName": "ECI",
-      "lastName": "Signer",
       "did": "did:key:z6MkkPbvvDGV7rES8jw1wicP5oEVbGdpwDwnkdGZ5sguS9Ua",
       "status": "trusted",
-      "notes": ""
     },
     {
-      "id": 6,
-      "username": "apptek-signer",
-      "firstName": "AppTek",
-      "lastName": "Signer",
       "did": "did:key:z6Mkei9aLRrmNEG1Me73VHVVjhh6zAkGXypazwHhYU18CM2q",
       "status": "trusted",
-      "notes": ""
     },
     {
-      "id": 7,
-      "username": "eqty-signer",
-      "firstName": "EQTY",
-      "lastName": "Signer",
       "did": "did:key:zQ3shcG5MmabosM7qQaVRmEsgSnY6KnXU9vuWED43jut27LMi",
       "status": "trusted",
-      "notes": ""
     },
     {
-      "id": 8,
-      "username": "erasmus-signer",
-      "firstName": "Erasmus",
-      "lastName": "Signer",
       "did": "did:key:z6MkkMhCQ38q5SRtYSgZJseY5Hin4NqsFEYyYR88VxT2W33i",
       "status": "trusted",
-      "notes": ""
     }
   ]
 }

 {
   "results": [
     {
+      "name": "eci-io",
       "did": "did:key:z6MkkPbvvDGV7rES8jw1wicP5oEVbGdpwDwnkdGZ5sguS9Ua",
       "status": "trusted",
+      "url": "https://huggingface.co/eci-io"
     },
     {
+      "name": "apptek",
       "did": "did:key:z6Mkei9aLRrmNEG1Me73VHVVjhh6zAkGXypazwHhYU18CM2q",
       "status": "trusted",
+      "url": "https://huggingface.co/apptek-com"
     },
     {
+      "name": "eqty-lab",
       "did": "did:key:zQ3shcG5MmabosM7qQaVRmEsgSnY6KnXU9vuWED43jut27LMi",
       "status": "trusted",
+      "url": "https://huggingface.co/EQTYLab"
     },
     {
+      "name": "erasmus-ai",
       "did": "did:key:z6MkkMhCQ38q5SRtYSgZJseY5Hin4NqsFEYyYR88VxT2W33i",
       "status": "trusted",
+      "url": "https://huggingface.co/Erasmus-AI"
+    },
+    {
+      "name": "admin",
+      "did": "did:key:z6MkhaXgBZDvotDkL5257faiztiGiC2QtKLGpbnnEGta2doK",
+      "status": "trusted",
+      "url": ""
+    },
+    {
+      "name": "bert",
+      "did": "did:key:z6MkiTBz1ymuepAQ4HEHYSF1H8quG5GLVVQR3djdX3mDooWp",
+      "status": "trusted",
+      "url": ""
+    },
+    {
+      "name": "charlie",
+      "did": "did:key:z6MkjchhfUsD6mmvni8mCdXHw216Xrm9bQe2mBH1P5RDjVJG",
+      "status": "trusted",
+      "url": ""
+    },
+    {
+      "name": "dave",
+      "did": "did:key:z6MknGc3ocHs3zdPiJbnaaqDi58NGb4pk1Sp9WxWufuXSdxf",
+      "status": "trusted",
+      "url": ""
     }
   ]
 }