Instructions to use NorGLM/NorGPT-3B-continue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NorGLM/NorGPT-3B-continue with Transformers:

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

pipe = pipeline("text-generation", model="NorGLM/NorGPT-3B-continue")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("NorGLM/NorGPT-3B-continue")
model = AutoModelForCausalLM.from_pretrained("NorGLM/NorGPT-3B-continue")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use NorGLM/NorGPT-3B-continue with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "NorGLM/NorGPT-3B-continue"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "NorGLM/NorGPT-3B-continue",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/NorGLM/NorGPT-3B-continue

SGLang

How to use NorGLM/NorGPT-3B-continue 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 "NorGLM/NorGPT-3B-continue" \
    --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": "NorGLM/NorGPT-3B-continue",
		"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 "NorGLM/NorGPT-3B-continue" \
        --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": "NorGLM/NorGPT-3B-continue",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use NorGLM/NorGPT-3B-continue with Docker Model Runner:
```
docker model run hf.co/NorGLM/NorGPT-3B-continue
```

NorGLM commited on Mar 11, 2024

Commit

4a66808

verified ·

1 Parent(s): 99a7c3f

Update README.md

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@@ -2,6 +2,22 @@
 license: cc-by-nc-sa-4.0
 language:
 - 'no'
 ---
 Gnerative Pretrained Tranformer with 3 Billion parameters for Norwegian. The model is continue trained using NorGPT-3B model on a selective documents from the pretraining dataset, which includes news articles, parlamentary speech, books and govermental reports.

 license: cc-by-nc-sa-4.0
 language:
 - 'no'
+extra_gated_prompt: "You agree to not use the model to conduct experiments that cause harm to human subjects."
+extra_gated_fields:
+  Company: text
+  Country: country
+  Specific date: date_picker
+  I want to use this model for:
+    type: select
+    options:
+      - Research
+      - Education
+      - label: Other
+        value: other
+  I agree to use this model for non-commercial use ONLY: checkbox
+extra_gated_heading: "Acknowledge license to accept the repository"
+extra_gated_description: "Our team may take 2-3 days to process your request"
+extra_gated_button_content: "Acknowledge license"
 ---
 Gnerative Pretrained Tranformer with 3 Billion parameters for Norwegian. The model is continue trained using NorGPT-3B model on a selective documents from the pretraining dataset, which includes news articles, parlamentary speech, books and govermental reports.