Datasets:
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parquet
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Download python-balanced-20261007/provenance/run.sbatch from lightonai/SASS-Post-Training-Dataset: direct link, hf CLI and curl.
- Browser
- Download file 2.46 kB
-
https://huggingface.co/datasets/lightonai/SASS-Post-Training-Dataset/resolve/main/python-balanced-20261007/provenance/run.sbatch
- Command line
-
hf download hf://datasets/lightonai/SASS-Post-Training-Dataset/python-balanced-20261007/provenance/run.sbatch
-
curl -L -o run.sbatch https://huggingface.co/datasets/lightonai/SASS-Post-Training-Dataset/resolve/main/python-balanced-20261007/provenance/run.sbatch
2.46 kB
| #!/usr/bin/env bash | |
| #SBATCH --job-name=sass-python-topup | |
| #SBATCH --partition=batch | |
| #SBATCH --exclude=oreus-heimdall-poc-gpu-[004,006] | |
| #SBATCH --nodes=1 | |
| #SBATCH --gres=gpu:4 | |
| #SBATCH --cpus-per-task=32 | |
| #SBATCH --mem=600G | |
| #SBATCH --time=24:00:00 | |
| #SBATCH --output=/mnt/vast/maxence/code-search/logs/sass-python-topup-%j.log | |
| #SBATCH --error=/mnt/vast/maxence/code-search/logs/sass-python-topup-%j.log | |
| set -euo pipefail | |
| ARM=${1:?Expected grep or colgrep} | |
| case "$ARM" in grep|colgrep) ;; *) exit 92;; esac | |
| PROJECT=/mnt/vast/maxence/code-search | |
| RUN="$PROJECT/artifacts/generation/python-balanced-20261007" | |
| SHARED_CS=/mnt/vast/maxence/cs-home | |
| cd "$PROJECT" | |
| case "$(hostname -s)" in oreus-heimdall-poc-gpu-003|oreus-heimdall-poc-gpu-005) ;; *) exit 91;; esac | |
| export PATH="$PROJECT/.venv/bin:$SHARED_CS/.cargo/bin:$PATH" | |
| export PYTHONPATH="$RUN/runtime" | |
| export HF_HOME="$SHARED_CS/.cache/huggingface" | |
| export CGD_ARTIFACTS="$PROJECT/artifacts" | |
| export XDG_DATA_HOME="$PROJECT/artifacts/generation/python-multiswe7-rebalanced-15k-deepseek/xdg" | |
| export TMPDIR="/dev/shm/${USER}-sass-python-${SLURM_JOB_ID}" | |
| export CGD_COLGREP_SEARCH_CPU=1 CGD_COLGREP_INDEX_CPU=1 CGD_TOP_K=10 | |
| export CGD_MAX_TURNS=10 CGD_COLGREP_CONCURRENCY=8 CGD_COLGREP_THREADS=2 | |
| mkdir -p "$TMPDIR" | |
| source "$SHARED_CS/colgrep-gpu/env.sh" | |
| MODEL=deepseek-ai/DeepSeek-V4-Flash-0731 | |
| PORT=$((20000 + SLURM_JOB_ID % 10000)) | |
| VLOG="$PROJECT/logs/vllm-sass-python-${SLURM_JOB_ID}.log" | |
| python -u "$RUN/generate.py" --preflight-only | |
| VLLM_HOST_IP=127.0.0.1 GLOO_SOCKET_IFNAME=lo NCCL_SOCKET_IFNAME=lo VLLM_ALLREDUCE_USE_SYMM_MEM=0 \ | |
| setsid vllm serve "$MODEL" --revision 7872f01b1d1fe23eabc4c98b48bffcef5a386062 \ | |
| --host 127.0.0.1 --port "$PORT" --served-model-name "$MODEL" --trust-remote-code \ | |
| --tensor-parallel-size 4 --kv-cache-dtype fp8 --max-model-len 65536 --max-num-seqs 64 \ | |
| --gpu-memory-utilization 0.9 --disable-custom-all-reduce --enable-prefix-caching \ | |
| --enable-auto-tool-choice --tool-call-parser deepseek_v4 --enforce-eager > "$VLOG" 2>&1 & | |
| SERVER_PID=$! | |
| trap 'kill -- -"$SERVER_PID" 2>/dev/null || true; wait "$SERVER_PID" 2>/dev/null || true' EXIT | |
| ready=0 | |
| for ((i=0;i<240;i++)); do | |
| if curl -sf "http://localhost:$PORT/health" >/dev/null; then ready=1; break; fi | |
| kill -0 "$SERVER_PID" 2>/dev/null || { tail -60 "$VLOG"; exit 1; } | |
| sleep 10 | |
| done | |
| [[ "$ready" == 1 ]] || { tail -60 "$VLOG"; exit 1; } | |
| python -u "$RUN/generate.py" --base-url "http://localhost:$PORT/v1" --arm "$ARM" --workers 48 | |