Skywork-o1-Open-PRM-Qwen-2.5-7B
302
51
7.0B
—
by
Skywork
Other
OTHER
7B params
New
302 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
16GB+ RAM
Mobile
Laptop
Server
Quick Summary
AI model with specialized capabilities.
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
7GB+ RAM
Code Examples
vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .vllm server for inferencebashvllm
pip install vllm==v0.6.4.post1
git clone https://github.com/SkyworkAI/skywork-o1-prm-inference.git
cd skywork-o1-prm-inference
pip install -e .bashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autobashvllm
CUDA_VISIBLE_DEVICES=0,1,2,3 vllm serve /path/to/prm_model \
--host 0.0.0.0 \
--port 8081 \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.9 \
--enable-prefix-caching \
--dtype autoDeploy This Model
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