Instructions to use modrill/code-nothink-o7b-20260908 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use modrill/code-nothink-o7b-20260908 with Transformers:

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

pipe = pipeline("text-generation", model="modrill/code-nothink-o7b-20260908")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("modrill/code-nothink-o7b-20260908")
model = AutoModelForCausalLM.from_pretrained("modrill/code-nothink-o7b-20260908", 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=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use modrill/code-nothink-o7b-20260908 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "modrill/code-nothink-o7b-20260908"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "modrill/code-nothink-o7b-20260908",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/modrill/code-nothink-o7b-20260908

SGLang

How to use modrill/code-nothink-o7b-20260908 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 "modrill/code-nothink-o7b-20260908" \
    --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": "modrill/code-nothink-o7b-20260908",
		"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 "modrill/code-nothink-o7b-20260908" \
        --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": "modrill/code-nothink-o7b-20260908",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use modrill/code-nothink-o7b-20260908 with Docker Model Runner:
```
docker model run hf.co/modrill/code-nothink-o7b-20260908
```

code-nothink-o7b-20260908 / OFFICIAL_MERGE_RECEIPT.json

modrill

Add O7B-NOTHINK merged full weights + eval tokenizer (DEV256 NoThink)

5c29047 verified 20 days ago

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{"adapter_tree_sha256":"d70a59bec8b109611187ccb5887cb31745155bd14de81f0bf2ff565861961a6f","base_model_path":"/workspace/code-sft-infra/models/olmo-3-1025-7b","checkpoint_manifest_sha256":"f761225b4665bda461be9d6bc7be830fb8b1c65fe0441ebd0ce7874f89fc8163","checkpoint_path":"/workspace/code-sft-runs/t30b2507-q4b-tn-v2-lr1e4-e1-20260907/arms/O7B-NOTHINK/out/O7B-NOTHINK/a81bae42db3975be1671e27b9c9a56da1a9f980f/olmo3-lcb-noprefill/17cdfd955548e8b7104d20976dc87521529a3878e6cca9f0b1446a64500ddd7a/step-000140-tokens-9371874","label":"v4-o7b-nothink","merged_at_unix":1788870515.9084604,"merged_model_path":"/workspace/code-sft-runs/rstar-eval/official-dev256/v4-o7b-nothink/scratch/step-000140-tokens-9371874-merged-full","merged_tree_sha256":"ba2ad2eedf581c32db0ed157021cfa60be251d9b72c8f360eb12d95a5db84745","receipt_sha256":"1cdb8e89250bd870d4a61b3330653a80ac409805ceeefe56db2ed52b527d4b94","schema":"CODE_SFT_OFFICIAL_DEV256_MERGE_RECEIPT_V1"}