gpt-oss-puzzle-88B
17.3K
89
—
by
nvidia
Language Model
OTHER
88B params
Fair
17K downloads
Community-tested
Edge AI:
Mobile
Laptop
Server
197GB+ RAM
Mobile
Laptop
Server
Quick Summary
AI model with specialized capabilities.
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
82GB+ RAM
Code Examples
vLLMbashvllm
docker run --gpus all -p 8000:8000 \
--entrypoint bash \
vllm/vllm-openai:v0.17.1 \
-c "
apt-get update && apt-get install -y git &&
VLLM_PRECOMPILED_WHEEL_LOCATION=https://wheels.vllm.ai/1ac2ef2e5335ca0af99aee438998c9305461f563/vllm-0.18.1rc1.dev127%2Bg1ac2ef2e5-cp38-abi3-manylinux_2_31_$(uname -m).whl VLLM_USE_PRECOMPILED=1 pip install --no-build-isolation 'git+https://github.com/vllm-project/vllm.git@refs/pull/38135/head' &&
pip install flashinfer-cubin==0.6.6 flashinfer-jit-cache==0.6.6 --extra-index-url https://flashinfer.ai/whl/cu129 &&
export PYTORCH_ALLOC_CONF=expandable_segments:True &&
vllm serve nvidia/gpt-oss-puzzle-88B \
-tp 1 \
--trust-remote-code \
--kv-cache-dtype fp8 \
--max-num-batched-tokens 8192 \
--stream-interval 20 \
--gpu-memory-utilization 0.95 \
--max-num-seqs 8 \
--max-cudagraph-capture-size 8 \
--max-model-len 131072
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