Instructions to use ibm-granite/granite-4.1-8b-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ibm-granite/granite-4.1-8b-base with Transformers:

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

pipe = pipeline("text-generation", model="ibm-granite/granite-4.1-8b-base")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ibm-granite/granite-4.1-8b-base")
model = AutoModelForCausalLM.from_pretrained("ibm-granite/granite-4.1-8b-base")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use ibm-granite/granite-4.1-8b-base with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ibm-granite/granite-4.1-8b-base"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ibm-granite/granite-4.1-8b-base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/ibm-granite/granite-4.1-8b-base

SGLang

How to use ibm-granite/granite-4.1-8b-base 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 "ibm-granite/granite-4.1-8b-base" \
    --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": "ibm-granite/granite-4.1-8b-base",
		"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 "ibm-granite/granite-4.1-8b-base" \
        --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": "ibm-granite/granite-4.1-8b-base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use ibm-granite/granite-4.1-8b-base with Docker Model Runner:
```
docker model run hf.co/ibm-granite/granite-4.1-8b-base
```

yousafshah commited on 13 days ago

Commit

cd0cc09

verified ·

1 Parent(s): 491eaeb

Granite-4.1 Model family

Browse files

Files changed (2) hide show

README.md +1 -1
model.sig +1 -1

README.md CHANGED Viewed

@@ -18,7 +18,7 @@ TO DO: Don't it only applies to the 3B model card?
 Grante-4.1-3B base is same base model as Granite-4.0-3B-Micro.
  -->
 - **Developers:** Granite Team, IBM
-- **HF Collection:** [Granite 4.1 Language Models HF Collection](https://huggingface.co/collections/ibm-granite/granite-41-language-models)
 - **Technical Blog:** [Granite-4.1 Blog](https://huggingface.co/blog/ibm-granite/granit-4-1)
 - **GitHub Repository:** [ibm-granite/granite-4.1-language-models](https://github.com/ibm-granite/granite-4.1-language-models)
 - **Website**: [Granite Docs](https://www.ibm.com/granite/docs/)

 Grante-4.1-3B base is same base model as Granite-4.0-3B-Micro.
  -->
 - **Developers:** Granite Team, IBM
+- **HF Collection:** [Granite 4.1 Language Models HF Collection](https://huggingface.co/collections/ibm-granite/granite-41)
 - **Technical Blog:** [Granite-4.1 Blog](https://huggingface.co/blog/ibm-granite/granit-4-1)
 - **GitHub Repository:** [ibm-granite/granite-4.1-language-models](https://github.com/ibm-granite/granite-4.1-language-models)
 - **Website**: [Granite Docs](https://www.ibm.com/granite/docs/)

model.sig CHANGED Viewed

@@ -1 +1 @@

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