Instructions to use kuleshov-group/bd3lm-owt-block_size8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use kuleshov-group/bd3lm-owt-block_size8 with Transformers:

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

pipe = pipeline("text-generation", model="kuleshov-group/bd3lm-owt-block_size8", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForMaskedLM
model = AutoModelForMaskedLM.from_pretrained("kuleshov-group/bd3lm-owt-block_size8", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use kuleshov-group/bd3lm-owt-block_size8 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "kuleshov-group/bd3lm-owt-block_size8"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "kuleshov-group/bd3lm-owt-block_size8",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/kuleshov-group/bd3lm-owt-block_size8

SGLang

How to use kuleshov-group/bd3lm-owt-block_size8 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 "kuleshov-group/bd3lm-owt-block_size8" \
    --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": "kuleshov-group/bd3lm-owt-block_size8",
		"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 "kuleshov-group/bd3lm-owt-block_size8" \
        --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": "kuleshov-group/bd3lm-owt-block_size8",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use kuleshov-group/bd3lm-owt-block_size8 with Docker Model Runner:
```
docker model run hf.co/kuleshov-group/bd3lm-owt-block_size8
```

marriola commited on Mar 18, 2025

Commit

a0ecc1b

verified ·

1 Parent(s): 389f32d

arxiv paper

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@@ -13,7 +13,7 @@ tags:
 By [Marianne Arriola](https://m-arriola.com/), [Aaron Gokaslan](https://skylion007.github.io), [Justin T Chiu](https://justinchiu.netlify.app), [Zhihan Yang](https://zhihanyang2022.github.io/), [Zhixuan Qi](https://zhixuanqi.com/), [Jiaqi Han](https://hanjq17.github.io/), [Subham Sekhar Sahoo](https://s-sahoo.github.io), [Volodymyr Kuleshov](https://www.cs.cornell.edu/~kuleshov/)
-[![Paper](https://img.shields.io/badge/Paper_📃-green)](https://openreview.net/forum?id=tyEyYT267x)
 [![GitHub](https://img.shields.io/badge/GitHub_🧑‍💻-blue)](https://github.com/kuleshov-group/bd3lms)
 [![Blog](https://img.shields.io/badge/Blog_📝%20%20-8A2BE2)](https://m-arriola.com/bd3lms/)
 [![HuggingFace](https://img.shields.io/badge/HuggingFace_🤗%20-BD3LMs%20-orange)](https://huggingface.co/collections/kuleshov-group/bd3-lms-67be95f81b96b15fec50d53f)

 By [Marianne Arriola](https://m-arriola.com/), [Aaron Gokaslan](https://skylion007.github.io), [Justin T Chiu](https://justinchiu.netlify.app), [Zhihan Yang](https://zhihanyang2022.github.io/), [Zhixuan Qi](https://zhixuanqi.com/), [Jiaqi Han](https://hanjq17.github.io/), [Subham Sekhar Sahoo](https://s-sahoo.github.io), [Volodymyr Kuleshov](https://www.cs.cornell.edu/~kuleshov/)
+[![Paper](https://img.shields.io/badge/Paper_📃-green)](https://arxiv.org/abs/2503.09573)
 [![GitHub](https://img.shields.io/badge/GitHub_🧑‍💻-blue)](https://github.com/kuleshov-group/bd3lms)
 [![Blog](https://img.shields.io/badge/Blog_📝%20%20-8A2BE2)](https://m-arriola.com/bd3lms/)
 [![HuggingFace](https://img.shields.io/badge/HuggingFace_🤗%20-BD3LMs%20-orange)](https://huggingface.co/collections/kuleshov-group/bd3-lms-67be95f81b96b15fec50d53f)