Text Generation
Transformers
Safetensors
English
Chinese
sdar
math
reasoning
diffusion
conversational
custom_code
Eval Results
Instructions to use OpenMOSS-Team/DiRL-8B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMOSS-Team/DiRL-8B-Instruct with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="OpenMOSS-Team/DiRL-8B-Instruct", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("OpenMOSS-Team/DiRL-8B-Instruct", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use OpenMOSS-Team/DiRL-8B-Instruct with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "OpenMOSS-Team/DiRL-8B-Instruct" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OpenMOSS-Team/DiRL-8B-Instruct", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/OpenMOSS-Team/DiRL-8B-Instruct
- SGLang
How to use OpenMOSS-Team/DiRL-8B-Instruct 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 "OpenMOSS-Team/DiRL-8B-Instruct" \ --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": "OpenMOSS-Team/DiRL-8B-Instruct", "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 "OpenMOSS-Team/DiRL-8B-Instruct" \ --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": "OpenMOSS-Team/DiRL-8B-Instruct", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use OpenMOSS-Team/DiRL-8B-Instruct with Docker Model Runner:
docker model run hf.co/OpenMOSS-Team/DiRL-8B-Instruct
Commit History
11 days ago
-
Add community evaluation results for GSM8K
Verified signatureThis PR adds community-provided evaluation results for the following benchmarks: - **[GSM8K](https://huggingface.co/datasets/openai/gsm8k?eval_result=OpenMOSS-Team/DiRL-8B-Instruct&leaderboard_task_id=gsm8k&leaderboard_base_model=false)** These results were extracted from Table 1 of the [paper](https://huggingface.co/papers/2512.22234). This is based on the new [evaluation results feature](https://huggingface.co/docs/hub/eval-results). *Note: This is an automated PR. Please review the evaluation results before merging.*8bd5c32
-
Update modeling_sdar.py
Verified signature898c2ea
-
Add pipeline_tag and library_name to metadata (#1)
Verified signature- Add pipeline_tag and library_name to metadata (14b37d7dc5854031849b2f23e9404ea7a89aad53) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>89225da
-
Upload README.md with huggingface_hub
Verified signaturef1fbf4d -
Upload README.md with huggingface_hub
Verified signaturea3805e9 -
Upload README.md with huggingface_hub
Verified signature72b5d8d
-
Upload config.json with huggingface_hub
Verified signature72f2668
-
Upload fused_linear_diffusion_cross_entropy.py with huggingface_hub
Verified signature8753171 -
Upload modeling_sdar.py with huggingface_hub
Verified signature8b5e6db
-
Upload folder using huggingface_hub
Verified signaturea1dec5b -
initial commit
Verified signature6f7fb93