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20 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| 0948d7c1ab | |||
| e2bd0b1958 | |||
| 0b6f381dd7 | |||
| 74f8b6a1ef | |||
| fa2bf082c2 | |||
| 6a57ff8e0a | |||
| 375633cb18 | |||
| ccd29ed8b6 | |||
| 2b30c69933 | |||
| 4d99c12820 | |||
| 6060f8ce0c | |||
| 067fa936fb | |||
| 405a8f1c0d | |||
| 12f4f23d39 | |||
| e2a771bb5a | |||
| 0cd64adfc4 | |||
| 6f795b8fb8 | |||
| 4bcc508473 | |||
| 74d7330800 | |||
| 2ce0450809 |
@@ -1 +1,13 @@
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aiohttp==3.10.1
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aiodns~=3.6.0
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pycares~=4.11.0
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anyio~=4.4
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lib~=4.0
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nltk~=3.9
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psutil~=6.0
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pycryptodome~=3.20
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Requests~=2.32
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transformers~=4.52
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utils==1.0.*
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hf_transfer>=0.1.9
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vastai-sdk>=0.3.0
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+1
-105
@@ -46,33 +46,6 @@ JSON
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exit 1
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}
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function install_vastai_sdk() {
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# If SDK_BRANCH is set, install vastai-sdk from the vast-sdk repo at that branch/tag/commit.
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if [ -n "${SDK_BRANCH:-}" ]; then
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if [ -n "${SDK_VERSION:-}" ]; then
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echo "WARNING: Both SDK_BRANCH and SDK_VERSION are set; using SDK_BRANCH=${SDK_BRANCH}"
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fi
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echo "Installing vastai-sdk from https://github.com/vast-ai/vast-sdk/ @ ${SDK_BRANCH}"
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if ! uv pip install --prerelease=allow "vastai-sdk @ git+https://github.com/vast-ai/vast-sdk.git@${SDK_BRANCH}"; then
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report_error_and_exit "Failed to install vastai-sdk from vast-ai/vast-sdk@${SDK_BRANCH}"
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fi
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return 0
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fi
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if [ -n "${SDK_VERSION:-}" ]; then
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echo "Installing vastai-sdk version ${SDK_VERSION}"
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if ! uv pip install --prerelease=allow "vastai-sdk==${SDK_VERSION}"; then
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report_error_and_exit "Failed to install vastai-sdk==${SDK_VERSION}"
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fi
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return 0
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fi
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echo "Installing default vastai-sdk"
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if ! uv pip install --prerelease=allow vastai-sdk; then
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report_error_and_exit "Failed to install vastai-sdk"
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fi
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}
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[ -n "$BACKEND" ] && [ -z "$HF_TOKEN" ] && report_error_and_exit "HF_TOKEN must be set when BACKEND is set!"
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[ -z "$CONTAINER_ID" ] && report_error_and_exit "CONTAINER_ID must be set!"
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[ "$BACKEND" = "comfyui" ] && [ -z "$COMFY_MODEL" ] && report_error_and_exit "For comfyui backends, COMFY_MODEL must be set!"
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@@ -90,8 +63,7 @@ echo_var DEBUG_LOG
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echo_var PYWORKER_LOG
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echo_var MODEL_LOG
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ROTATE_MODEL_LOG="${ROTATE_MODEL_LOG:-false}"
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if [ "$ROTATE_MODEL_LOG" = "true" ] && [ -e "$MODEL_LOG" ]; then
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if [ -e "$MODEL_LOG" ]; then
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echo "Rotating model log at $MODEL_LOG to $MODEL_LOG.old"
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if ! cat "$MODEL_LOG" >> "$MODEL_LOG.old"; then
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report_error_and_exit "Failed to rotate model log"
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@@ -151,8 +123,6 @@ then
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report_error_and_exit "Failed to install Python requirements"
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fi
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install_vastai_sdk
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if ! touch ~/.no_auto_tmux; then
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report_error_and_exit "Failed to create ~/.no_auto_tmux"
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fi
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@@ -214,80 +184,6 @@ fi
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export REPORT_ADDR WORKER_PORT USE_SSL UNSECURED
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# ─── SDK Deployment Mode ───────────────────────────────────────────────
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if [ "$IS_DEPLOYMENT" = "true" ]; then
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echo "=== SDK Deployment Mode ==="
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echo "DEPLOYMENT_ID: $DEPLOYMENT_ID"
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DEPLOY_DIR="/workspace/deployment"
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mkdir -p "$DEPLOY_DIR"
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VAST_API_BASE="${VAST_API_BASE:-https://console.vast.ai}"
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# Download deployment code, retrying until the blob is available on S3.
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# The s3_key exists in the DB as soon as the deployment is created, but the
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# actual upload may still be in flight from the client side.
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echo "Downloading deployment code..."
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RETRY=0
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while true; do
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DOWNLOAD_RESPONSE=$(curl -sS \
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-H "Authorization: Bearer $CONTAINER_API_KEY" \
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"${VAST_API_BASE}/api/v0/deployment/${DEPLOYMENT_ID}/download_url/")
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DOWNLOAD_URL=$(python3 -c "
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import sys, json
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try:
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d = json.load(sys.stdin)
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print(d.get('download_url') or '')
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except: print('')
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" <<< "$DOWNLOAD_RESPONSE")
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if [ -z "$DOWNLOAD_URL" ] || [ "$DOWNLOAD_URL" = "None" ]; then
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RETRY=$((RETRY + 1))
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echo "No download URL yet (attempt $RETRY), retrying in 10s... response: $DOWNLOAD_RESPONSE"
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sleep 10
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continue
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fi
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# Got a URL — try the actual S3 download
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HTTP_CODE=$(curl -sS -L -o "$DEPLOY_DIR/deployment.tar.gz" -w "%{http_code}" "$DOWNLOAD_URL")
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if [ "$HTTP_CODE" = "200" ]; then
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break
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fi
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RETRY=$((RETRY + 1))
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echo "S3 download returned HTTP $HTTP_CODE (attempt $RETRY), blob not yet uploaded. Retrying in 10s..."
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rm -f "$DEPLOY_DIR/deployment.tar.gz"
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sleep 10
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done
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cd "$DEPLOY_DIR" && tar xzf deployment.tar.gz
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echo "Deployment code extracted."
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# Source secrets if present
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if [ -f "$DEPLOY_DIR/.secrets" ]; then
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echo "Sourcing secrets..."
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source "$DEPLOY_DIR/.secrets"
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fi
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# Run on_start.sh to completion if present
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if [ -f "$DEPLOY_DIR/on_start.sh" ]; then
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echo "Running on_start.sh..."
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chmod +x "$DEPLOY_DIR/on_start.sh"
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bash "$DEPLOY_DIR/on_start.sh"
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echo "on_start.sh completed."
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fi
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# Install SDK (uses the install_vastai_sdk function which supports SDK_BRANCH/SDK_VERSION)
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install_vastai_sdk
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# Run deployment in serve mode
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export VAST_DEPLOYMENT_MODE=serve
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echo "Starting deployment: python3 $DEPLOY_DIR/deployment.py"
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python3 "$DEPLOY_DIR/deployment.py"
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exit $?
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fi
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# ─── End SDK Deployment Mode ───────────────────────────────────────────
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if ! cd "$SERVER_DIR"; then
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report_error_and_exit "Failed to cd into SERVER_DIR: $SERVER_DIR"
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fi
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@@ -28,12 +28,6 @@ MODEL_INFO_LOG_MSGS = [
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nltk.download("words")
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WORD_LIST = nltk.corpus.words.words()
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def request_parser(request):
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data = request
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if request.get("input") is not None:
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data = request.get("input")
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return data
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def completions_benchmark_generator() -> dict:
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prompt = " ".join(random.choices(WORD_LIST, k=int(250)))
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@@ -60,20 +54,18 @@ worker_config = WorkerConfig(
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route="/v1/completions",
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workload_calculator= lambda data: data.get("max_tokens", 0),
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allow_parallel_requests=True,
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request_parser=request_parser,
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max_queue_time=600.0,
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max_queue_time=60.0,
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benchmark_config=BenchmarkConfig(
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generator=completions_benchmark_generator,
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concurrency=10,
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runs=3
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concurrency=100,
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runs=2
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)
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),
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HandlerConfig(
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route="/v1/chat/completions",
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workload_calculator= lambda data: data.get("max_tokens", 0),
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allow_parallel_requests=True,
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request_parser=request_parser,
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max_queue_time=600.0,
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max_queue_time=60.0,
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)
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],
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log_action_config=LogActionConfig(
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@@ -52,18 +52,17 @@ worker_config = WorkerConfig(
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HandlerConfig(
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route="/generate",
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allow_parallel_requests=True,
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max_queue_time=600.0,
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max_queue_time=60.0,
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benchmark_config=BenchmarkConfig(
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generator=benchmark_generator,
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concurrency=10,
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runs=3
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concurrency=50
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),
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workload_calculator= lambda x: x["parameters"]["max_new_tokens"]
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),
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HandlerConfig(
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route="/generate_stream",
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allow_parallel_requests=True,
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max_queue_time=600.0,
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max_queue_time=60.0,
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workload_calculator= lambda x: x["parameters"]["max_new_tokens"]
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)
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],
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