Instructions to use OpenOneRec/OneReason-0.8B-pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use OpenOneRec/OneReason-0.8B-pretrain with Transformers:

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

pipe = pipeline("text-generation", model="OpenOneRec/OneReason-0.8B-pretrain")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("OpenOneRec/OneReason-0.8B-pretrain")
model = AutoModelForMultimodalLM.from_pretrained("OpenOneRec/OneReason-0.8B-pretrain")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use OpenOneRec/OneReason-0.8B-pretrain with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "OpenOneRec/OneReason-0.8B-pretrain"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OpenOneRec/OneReason-0.8B-pretrain",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/OpenOneRec/OneReason-0.8B-pretrain

SGLang

How to use OpenOneRec/OneReason-0.8B-pretrain 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-0.8B-pretrain" \
    --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": "OpenOneRec/OneReason-0.8B-pretrain",
		"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 "OpenOneRec/OneReason-0.8B-pretrain" \
        --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": "OpenOneRec/OneReason-0.8B-pretrain",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use OpenOneRec/OneReason-0.8B-pretrain with Docker Model Runner:
```
docker model run hf.co/OpenOneRec/OneReason-0.8B-pretrain
```

OpenOneRec commited on 1 day ago

Commit

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1 Parent(s): 316d343

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README.md CHANGED Viewed

@@ -216,7 +216,7 @@ print(tokenizer.decode(response_ids, skip_special_tokens=True))
 Expected response:
 ```
-这是一款便携式的可折叠蓝牙键盘，专为移动办公和旅行设计。该商品采用超薄设计，重量仅约200克，方便放入背包或手提包中。键盘支持蓝牙5.0连接，兼容iOS、Android和Windows系统，可同时连接最多3台设备，并支持一键切换。键盘按键采用剪刀脚结构，提供舒适的打字体验。内置锂电池，续航时间可达30天。适合需要经常出差或在不同设备间切换使用的用户。
 ```
 ### Itemic Pattern Grounding Example
@@ -289,11 +289,11 @@ Expected response (example output):
 ```
 [
-  '<|video_begin|><s_a_7830><s_b_3006><s_c_6390>',
-  '<|video_begin|><s_a_5910><s_b_5272><s_c_6222>',
-  '<|video_begin|><s_a_5910><s_b_6379><s_c_4512>',
   ...
-  '<|video_begin|><s_a_2015><s_b_6234><s_c_88>'
 ]
 ```

 Expected response:
 ```
+该商品是一款家居生活厨房小工具，一级类目是家居生活，二级类目是厨房小工具，三级类目是其他小工具。加厚食品级透明塑料材质，高透明度便于观察，耐高温无异味，可反复使用，适用于烘焙、饮品等场景。价格区间为5-10元。无品牌。
 ```
 ### Itemic Pattern Grounding Example
 ```
 [
+  '<|video_begin|><s_a_3801><s_b_7498><s_c_853>',
+  '<|video_begin|><s_a_4615><s_b_4033><s_c_1014>',
+  '<|video_begin|><s_a_7385><s_b_800><s_c_4636>',
   ...
+  '<|video_begin|><s_a_4646><s_b_7261><s_c_853>'
 ]
 ```