Instructions to use OpenOneRec/OneReason-8B-pretrain-competition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use OpenOneRec/OneReason-8B-pretrain-competition with Transformers:

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

pipe = pipeline("text-generation", model="OpenOneRec/OneReason-8B-pretrain-competition")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("OpenOneRec/OneReason-8B-pretrain-competition")
model = AutoModelForCausalLM.from_pretrained("OpenOneRec/OneReason-8B-pretrain-competition", 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 OpenOneRec/OneReason-8B-pretrain-competition with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "OpenOneRec/OneReason-8B-pretrain-competition"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OpenOneRec/OneReason-8B-pretrain-competition",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/OpenOneRec/OneReason-8B-pretrain-competition

SGLang

How to use OpenOneRec/OneReason-8B-pretrain-competition 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 "OpenOneRec/OneReason-8B-pretrain-competition" \
    --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": "OpenOneRec/OneReason-8B-pretrain-competition",
		"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 "OpenOneRec/OneReason-8B-pretrain-competition" \
        --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": "OpenOneRec/OneReason-8B-pretrain-competition",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use OpenOneRec/OneReason-8B-pretrain-competition with Docker Model Runner:
```
docker model run hf.co/OpenOneRec/OneReason-8B-pretrain-competition
```

OneReason-8B-pretrain-competition

File size: 2,561 Bytes

6a681a9

# Generated at 2026-07-23T20:10:37+08:00

# Model name
NAME released_8B

# Model architecture (Generated from transformers_version in config.json)
ARCH transformer

# Model family (Generated from model_type in config.json)
FAMILY qwen3

# Model precision (Generated from torch_dtype in config.json)
PRECISION bfloat16

# Config files (Generated from the files in the workspace directory)
# Supported file types: *.json, *.jsonl, *.json5, *.jsonc, *.yaml, *.yml, *.toml, *.ini, *.config, *.cfg, *.conf, *.properties, *.props, *.prop, *.xml, *.xsd, *.rng, *.modelcard, *.meta, *tokenizer.model*, config.json.*, *.hparams, *.params, *.hyperparams, *.wandb, *.mlflow, *.tensorboard
CONFIG added_tokens.json
CONFIG config.json
CONFIG generation_config.json
CONFIG model.safetensors.index.json
CONFIG special_tokens_map.json
CONFIG tokenizer.json
CONFIG tokenizer_config.json
CONFIG vocab.json

# Model files (Generated from the files in the workspace directory)
# Supported file types: *.safetensors, *.bin, *.pt, *.pth, *.mar, *.pte, *.pt2, *.ptl, *.tflite, *.h5, *.hdf, *.hdf5, *.pb, *.meta, *.data-*, *.index, *.gguf, *.ggml, *.ggmf, *.ggjt, *.q4_0, *.q4_1, *.q5_0, *.q5_1, *.q8_0, *.f16, *.f32, *.ckpt, *.checkpoint, *.dist_ckpt, *.tensor, *.weights, *.state, *.embedding, *.vocab, *.ot, *.engine, *.trt, *.onnx, *.msgpack, *.model, *.pkl, *.pickle, *.keras, *.joblib, *.npy, *.npz, *.nc, *.mlmodel, *.coreml, *.mleap, *.surml, *.llamafile, *.caffemodel, *.prototxt, *.dlc, *.circle, *.nb
MODEL model-00001-of-00004.safetensors
MODEL model-00002-of-00004.safetensors
MODEL model-00003-of-00004.safetensors
MODEL model-00004-of-00004.safetensors

# Documentation files (Generated from the files in the workspace directory)
# Supported file types: *.txt, *.md, *.pdf, LICENSE*, README*, SETUP*, *requirements*, *.log, *.doc, *.docx, *.docm, *.dot, *.dotx, *.dotm, *.rtf, *.odt, *.ott, *.fodt, *.pages, *.wpd, *.xls, *.xlsx, *.xlsm, *.xlsb, *.xlt, *.xltx, *.xltm, *.ods, *.ots, *.fods, *.numbers, *.csv, *.ppt, *.pptx, *.pptm, *.pps, *.ppsx, *.ppsm, *.pot, *.potx, *.potm, *.odp, *.otp, *.fodp, *.key, *.epub, *.mobi, *.azw, *.azw3, *.fb2, *.fb3, *.lit, *.pdb, *.djvu, *.djv, *.html, *.htm, *.xhtml, *.mhtml, *.mht, *.xml, *.xsl, *.xslt, *.tex, *.latex, *.ltx, *.bib, *.rst, *.asciidoc, *.adoc, *.textile, *.wiki, *.mediawiki, *.org, *.texi, *.texinfo, *.info, *.man, *.chm, *.hlp, *.xps, *.jpg, *.jpeg, *.png, *.gif, *.bmp, *.tiff, *.ico, *.webp, *.heic, *.heif, *.hevc, *.svg, *.mp4, *.mov, *.avi, *.mkv, *.webm, *.m4v, *.flv, *.wmv, *.mpg, *.mpeg
DOC merges.txt