Instructions to use PYTHAI/granite-4.2-3b-fork with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use PYTHAI/granite-4.2-3b-fork with Transformers:

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

pipe = pipeline("text-generation", model="PYTHAI/granite-4.2-3b-fork")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("PYTHAI/granite-4.2-3b-fork")
model = AutoModelForCausalLM.from_pretrained("PYTHAI/granite-4.2-3b-fork", 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=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use PYTHAI/granite-4.2-3b-fork with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "PYTHAI/granite-4.2-3b-fork"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "PYTHAI/granite-4.2-3b-fork",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/PYTHAI/granite-4.2-3b-fork

SGLang

How to use PYTHAI/granite-4.2-3b-fork 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 "PYTHAI/granite-4.2-3b-fork" \
    --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": "PYTHAI/granite-4.2-3b-fork",
		"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 "PYTHAI/granite-4.2-3b-fork" \
        --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": "PYTHAI/granite-4.2-3b-fork",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use PYTHAI/granite-4.2-3b-fork with Docker Model Runner:
```
docker model run hf.co/PYTHAI/granite-4.2-3b-fork
```

granite-4.2-3b-fork

File size: 2,896 Bytes

{
 "kind": "licence-locked pointer fork",
 "source_repo": "ibm-granite/granite-4.2-3b",
 "source_url": "https://huggingface.co/ibm-granite/granite-4.2-3b",
 "source_commit": "e459acceac81e5fe67c07d9cfc72329a332e7eb1",
 "forked_at_utc": "2026-09-13T23:55:35Z",
 "licence_tag": "apache-2.0",
 "licence_file": {
  "path": "LICENSE",
  "bytes": 11544,
  "sha256": "bbedc3fda3305820b977265f01b8619d87570a6739de3a5582c3464840f1e57a",
  "provenance": "upstream ships no LICENSE file at this commit; its model card declares license: apache-2.0. The Apache License 2.0 text was added here, byte-identical to the LICENSE in Qwen/Qwen3.8-27B at 1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0, because Apache-2.0 section 4(a) requires a copy of the licence with any redistribution."
 },
 "weights_copied": false,
 "weights_not_copied": {
  "files": 2,
  "bytes": 7319517120
 },
 "parameters": 3659737600,
 "load_weights_with": "from_pretrained('ibm-granite/granite-4.2-3b', revision='e459acceac81e5fe67c07d9cfc72329a332e7eb1')",
 "files": [
  {
   "path": "README.md",
   "bytes": 35640,
   "sha256": "8f22ddce440f0c15ecb58fc9f8501b882baf5f2b7ab0d13872fe77d88c1ad792"
  },
  {
   "path": "chat_template.jinja",
   "bytes": 9013,
   "sha256": "f0ba43f79b3cabca5e5a7584c77aec92f49feae45cdf7779c87d9fc54cd90258"
  },
  {
   "path": "config.json",
   "bytes": 905,
   "sha256": "e4f44b9c6924a283f1d1d36057a89f1a04404bf1561fc2c0b64cf98180e72915"
  },
  {
   "path": "generation_config.json",
   "bytes": 207,
   "sha256": "1b9baf0a7959d31d7fb58ff6b506c27d09a73d395cadccc7e6dd1d4b7e43fd9d"
  },
  {
   "path": "granite_thinking_parser.py",
   "bytes": 4649,
   "sha256": "cd5eef99f559f33dc402e0475174a97dcb43724d7e810149c702e9bbc473048a"
  },
  {
   "path": "merges.txt",
   "bytes": 916646,
   "sha256": "b6fe424e334903f7fb84d3a106d9730455f4744b9fe3c21ee136d97a00e72502"
  },
  {
   "path": "model.safetensors.index.json",
   "bytes": 31356,
   "sha256": "281a9fd788ed108b66ec5fc6e4147c882a9a3c2e8571930029ad19103b23eca8"
  },
  {
   "path": "model.sig",
   "bytes": 10989,
   "sha256": "13d9d24518aa7708a92950a4a7ec25744d0dc66885b504af0cf8cc6212cc51f3"
  },
  {
   "path": "special_tokens_map.json",
   "bytes": 563,
   "sha256": "e9435fefd6d838fd9fcbbc44b97a8e3ff322be7f6dfb7e4fd2468586574bb52b"
  },
  {
   "path": "tokenizer.json",
   "bytes": 7153414,
   "sha256": "883975314d58743726347caaf2c32ac89afd5ad57222cffbc4f052f2ab27b2d7"
  },
  {
   "path": "tokenizer_config.json",
   "bytes": 17677,
   "sha256": "2007f26df166ed10a2d6fa881c1c8f3cdd151e451469f59b274897f14449835f"
  },
  {
   "path": "vocab.json",
   "bytes": 1612694,
   "sha256": "a1be0c1e0a89b5bacda6af6f8b63df09668cb8d1f656229ee9123140c9507810"
  }
 ],
 "why": "preserve the licence terms of this exact commit and pin the revision; the weights stay at the source and are addressed by commit sha",
 "forked_by": "mindX (PYTHAI) via the node token"
}