ModelBuilder fails w/ DJL container using HF_MODEL_ID #5588

Open
Open
ModelBuilder fails w/ DJL container using HF_MODEL_ID#5588

Description

@hqudah-aws
hqudah-aws
opened on Feb 27, 2026

PySDK Version

  • PySDK V2 (2.x)
  • PySDK V3 (3.4.0)

Describe the bug
When using ModelBuilder in "passthrough" mode (image_uri + env_vars, no model
or inference_spec), build() fails with a ValidationException because a
non-existent S3 path is injected as ModelDataUrl in the CreateModel request.

Passthrough mode is the intended path for deploying models on custom/DJL
containers where the container itself handles model loading (e.g. via
HF_MODEL_ID env var pointing to S3).

Expected behavior
Expected: Model created with no ModelDataUrl (container loads via HF_MODEL_ID)
Actual: ValidationException -- "Could not find model data at
s3:///model-builder///"

Suggested Fix

In _build_for_passthrough(), also clear s3_model_data_url:

def _build_for_passthrough(self) -> Model:
if not self.image_uri:
raise ValueError("image_uri is required for pass-through cases")
self.s3_upload_path = None
self.s3_model_data_url = None # <-- add this line
return self._create_model()

To reproduce

from sagemaker.core.helper.session_helper import Session, get_execution_role
from sagemaker.serve.model_builder import ModelBuilder
sagemaker_session = Session()
region = sagemaker_session.boto_session.region_name
role = get_execution_role(sagemaker_session, use_default=True)
bucket = sagemaker_session.default_bucket()
image_uri = f"763104351884.dkr.ecr.{region}.amazonaws.com/djl-inference:0.33.0-lmi15.0.0-cu128"
model_builder = ModelBuilder(
image_uri=image_uri,
role_arn=role,
sagemaker_session=sagemaker_session,
instance_type="ml.g5.2xlarge",
env_vars={
"HF_MODEL_ID": f"s3://{bucket}/models/any-model",
"OPTION_ROLLING_BATCH": "vllm",
},
)
model_builder.build(model_name="passthrough-bug-repro")

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      , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
       blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

      Skip to content
      ModelBuilder fails w/ DJL container using HF_MODEL_ID #5588
      Open
      Open
      ModelBuilder fails w/ DJL container using HF_MODEL_ID#5588
      Description
      @hqudah-aws
      hqudah-aws
      opened on Feb 27, 2026
      PySDK Version
      •  PySDK V2 (2.x)
      •  PySDK V3 (3.4.0)
      Describe the bug
      
When using ModelBuilder in "passthrough" mode (image_uri + env_vars, no model
      
or inference_spec), build() fails with a ValidationException because a
      
non-existent S3 path is injected as ModelDataUrl in the CreateModel request.
      Passthrough mode is the intended path for deploying models on custom/DJL
      
containers where the container itself handles model loading (e.g. via
      
HF_MODEL_ID env var pointing to S3).
      Expected behavior
      
Expected: Model created with no ModelDataUrl (container loads via HF_MODEL_ID)
      
Actual: ValidationException -- "Could not find model data at
      
s3:///model-builder///"
      Suggested Fix
      In _build_for_passthrough(), also clear s3_model_data_url:
      def _build_for_passthrough(self) -> Model:
if not self.image_uri:
raise ValueError("image_uri is required for pass-through cases")
self.s3_upload_path = None
self.s3_model_data_url = None # <-- add this line
return self._create_model()

      To reproduce
      from sagemaker.core.helper.session_helper import Session, get_execution_role
from sagemaker.serve.model_builder import ModelBuilder
sagemaker_session = Session()
region = sagemaker_session.boto_session.region_name
role = get_execution_role(sagemaker_session, use_default=True)
bucket = sagemaker_session.default_bucket()
image_uri = f"763104351884.dkr.ecr.{region}.amazonaws.com/djl-inference:0.33.0-lmi15.0.0-cu128"
model_builder = ModelBuilder(
image_uri=image_uri,
role_arn=role,
sagemaker_session=sagemaker_session,
instance_type="ml.g5.2xlarge",
env_vars={
"HF_MODEL_ID": f"s3://{bucket}/models/any-model",
"OPTION_ROLLING_BATCH": "vllm",
},
)
model_builder.build(model_name="passthrough-bug-repro")

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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

          Skip to content
          ModelBuilder fails w/ DJL container using HF_MODEL_ID #5588
          Open
          Open
          ModelBuilder fails w/ DJL container using HF_MODEL_ID#5588
          Description
          @hqudah-aws
          hqudah-aws
          opened on Feb 27, 2026
          PySDK Version
          •  PySDK V2 (2.x)
          •  PySDK V3 (3.4.0)
          Describe the bug
          
When using ModelBuilder in "passthrough" mode (image_uri + env_vars, no model
          
or inference_spec), build() fails with a ValidationException because a
          
non-existent S3 path is injected as ModelDataUrl in the CreateModel request.
          Passthrough mode is the intended path for deploying models on custom/DJL
          
containers where the container itself handles model loading (e.g. via
          
HF_MODEL_ID env var pointing to S3).
          Expected behavior
          
Expected: Model created with no ModelDataUrl (container loads via HF_MODEL_ID)
          
Actual: ValidationException -- "Could not find model data at
          
s3:///model-builder///"
          Suggested Fix
          In _build_for_passthrough(), also clear s3_model_data_url:
          def _build_for_passthrough(self) -> Model:
if not self.image_uri:
raise ValueError("image_uri is required for pass-through cases")
self.s3_upload_path = None
self.s3_model_data_url = None # <-- add this line
return self._create_model()

          To reproduce
          from sagemaker.core.helper.session_helper import Session, get_execution_role
from sagemaker.serve.model_builder import ModelBuilder
sagemaker_session = Session()
region = sagemaker_session.boto_session.region_name
role = get_execution_role(sagemaker_session, use_default=True)
bucket = sagemaker_session.default_bucket()
image_uri = f"763104351884.dkr.ecr.{region}.amazonaws.com/djl-inference:0.33.0-lmi15.0.0-cu128"
model_builder = ModelBuilder(
image_uri=image_uri,
role_arn=role,
sagemaker_session=sagemaker_session,
instance_type="ml.g5.2xlarge",
env_vars={
"HF_MODEL_ID": f"s3://{bucket}/models/any-model",
"OPTION_ROLLING_BATCH": "vllm",
},
)
model_builder.build(model_name="passthrough-bug-repro")

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              None yet
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              No branches or pull requests
              Issue actions
              
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

              Skip to content
              ModelBuilder fails w/ DJL container using HF_MODEL_ID #5588
              Open
              Open
              ModelBuilder fails w/ DJL container using HF_MODEL_ID#5588
              Description
              @hqudah-aws
              hqudah-aws
              opened on Feb 27, 2026
              PySDK Version
              •  PySDK V2 (2.x)
              •  PySDK V3 (3.4.0)
              Describe the bug
              
When using ModelBuilder in "passthrough" mode (image_uri + env_vars, no model
              
or inference_spec), build() fails with a ValidationException because a
              
non-existent S3 path is injected as ModelDataUrl in the CreateModel request.
              Passthrough mode is the intended path for deploying models on custom/DJL
              
containers where the container itself handles model loading (e.g. via
              
HF_MODEL_ID env var pointing to S3).
              Expected behavior
              
Expected: Model created with no ModelDataUrl (container loads via HF_MODEL_ID)
              
Actual: ValidationException -- "Could not find model data at
              
s3:///model-builder///"
              Suggested Fix
              In _build_for_passthrough(), also clear s3_model_data_url:
              def _build_for_passthrough(self) -> Model:
if not self.image_uri:
raise ValueError("image_uri is required for pass-through cases")
self.s3_upload_path = None
self.s3_model_data_url = None # <-- add this line
return self._create_model()

              To reproduce
              from sagemaker.core.helper.session_helper import Session, get_execution_role
from sagemaker.serve.model_builder import ModelBuilder
sagemaker_session = Session()
region = sagemaker_session.boto_session.region_name
role = get_execution_role(sagemaker_session, use_default=True)
bucket = sagemaker_session.default_bucket()
image_uri = f"763104351884.dkr.ecr.{region}.amazonaws.com/djl-inference:0.33.0-lmi15.0.0-cu128"
model_builder = ModelBuilder(
image_uri=image_uri,
role_arn=role,
sagemaker_session=sagemaker_session,
instance_type="ml.g5.2xlarge",
env_vars={
"HF_MODEL_ID": f"s3://{bucket}/models/any-model",
"OPTION_ROLLING_BATCH": "vllm",
},
)
model_builder.build(model_name="passthrough-bug-repro")

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              No one assigned
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                No labels
                No labels
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                No type
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                No projects
                  Milestone
                  No milestone
                  Relationships
                  None yet
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                  No branches or pull requests
                  Issue actions
                  
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

                  Skip to content
                  ModelBuilder fails w/ DJL container using HF_MODEL_ID #5588
                  Open
                  Open
                  ModelBuilder fails w/ DJL container using HF_MODEL_ID#5588
                  Description
                  @hqudah-aws
                  hqudah-aws
                  opened on Feb 27, 2026
                  PySDK Version
                  •  PySDK V2 (2.x)
                  •  PySDK V3 (3.4.0)
                  Describe the bug
                  
When using ModelBuilder in "passthrough" mode (image_uri + env_vars, no model
                  
or inference_spec), build() fails with a ValidationException because a
                  
non-existent S3 path is injected as ModelDataUrl in the CreateModel request.
                  Passthrough mode is the intended path for deploying models on custom/DJL
                  
containers where the container itself handles model loading (e.g. via
                  
HF_MODEL_ID env var pointing to S3).
                  Expected behavior
                  
Expected: Model created with no ModelDataUrl (container loads via HF_MODEL_ID)
                  
Actual: ValidationException -- "Could not find model data at
                  
s3:///model-builder///"
                  Suggested Fix
                  In _build_for_passthrough(), also clear s3_model_data_url:
                  def _build_for_passthrough(self) -> Model:
if not self.image_uri:
raise ValueError("image_uri is required for pass-through cases")
self.s3_upload_path = None
self.s3_model_data_url = None # <-- add this line
return self._create_model()

                  To reproduce
                  from sagemaker.core.helper.session_helper import Session, get_execution_role
from sagemaker.serve.model_builder import ModelBuilder
sagemaker_session = Session()
region = sagemaker_session.boto_session.region_name
role = get_execution_role(sagemaker_session, use_default=True)
bucket = sagemaker_session.default_bucket()
image_uri = f"763104351884.dkr.ecr.{region}.amazonaws.com/djl-inference:0.33.0-lmi15.0.0-cu128"
model_builder = ModelBuilder(
image_uri=image_uri,
role_arn=role,
sagemaker_session=sagemaker_session,
instance_type="ml.g5.2xlarge",
env_vars={
"HF_MODEL_ID": f"s3://{bucket}/models/any-model",
"OPTION_ROLLING_BATCH": "vllm",
},
)
model_builder.build(model_name="passthrough-bug-repro")

                  Metadata
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                  No one assigned
                    Labels
                    No labels
                    No labels
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                    No type
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                    No projects
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                      No milestone
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                      None yet
                      Development
                      No branches or pull requests
                      Issue actions
                      
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

                      Skip to content
                      ModelBuilder fails w/ DJL container using HF_MODEL_ID #5588
                      Open
                      Open
                      ModelBuilder fails w/ DJL container using HF_MODEL_ID#5588
                      Description
                      @hqudah-aws
                      hqudah-aws
                      opened on Feb 27, 2026
                      PySDK Version
                      •  PySDK V2 (2.x)
                      •  PySDK V3 (3.4.0)
                      Describe the bug
                      
When using ModelBuilder in "passthrough" mode (image_uri + env_vars, no model
                      
or inference_spec), build() fails with a ValidationException because a
                      
non-existent S3 path is injected as ModelDataUrl in the CreateModel request.
                      Passthrough mode is the intended path for deploying models on custom/DJL
                      
containers where the container itself handles model loading (e.g. via
                      
HF_MODEL_ID env var pointing to S3).
                      Expected behavior
                      
Expected: Model created with no ModelDataUrl (container loads via HF_MODEL_ID)
                      
Actual: ValidationException -- "Could not find model data at
                      
s3:///model-builder///"
                      Suggested Fix
                      In _build_for_passthrough(), also clear s3_model_data_url:
                      def _build_for_passthrough(self) -> Model:
if not self.image_uri:
raise ValueError("image_uri is required for pass-through cases")
self.s3_upload_path = None
self.s3_model_data_url = None # <-- add this line
return self._create_model()

                      To reproduce
                      from sagemaker.core.helper.session_helper import Session, get_execution_role
from sagemaker.serve.model_builder import ModelBuilder
sagemaker_session = Session()
region = sagemaker_session.boto_session.region_name
role = get_execution_role(sagemaker_session, use_default=True)
bucket = sagemaker_session.default_bucket()
image_uri = f"763104351884.dkr.ecr.{region}.amazonaws.com/djl-inference:0.33.0-lmi15.0.0-cu128"
model_builder = ModelBuilder(
image_uri=image_uri,
role_arn=role,
sagemaker_session=sagemaker_session,
instance_type="ml.g5.2xlarge",
env_vars={
"HF_MODEL_ID": f"s3://{bucket}/models/any-model",
"OPTION_ROLLING_BATCH": "vllm",
},
)
model_builder.build(model_name="passthrough-bug-repro")

                      Metadata
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                      No one assigned
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                        No labels
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                          No branches or pull requests
                          Issue actions
                          
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

                          Skip to content
                          ModelBuilder fails w/ DJL container using HF_MODEL_ID #5588
                          Open
                          Open
                          ModelBuilder fails w/ DJL container using HF_MODEL_ID#5588
                          Description
                          @hqudah-aws
                          hqudah-aws
                          opened on Feb 27, 2026
                          PySDK Version
                          •  PySDK V2 (2.x)
                          •  PySDK V3 (3.4.0)
                          Describe the bug
                          
When using ModelBuilder in "passthrough" mode (image_uri + env_vars, no model
                          
or inference_spec), build() fails with a ValidationException because a
                          
non-existent S3 path is injected as ModelDataUrl in the CreateModel request.
                          Passthrough mode is the intended path for deploying models on custom/DJL
                          
containers where the container itself handles model loading (e.g. via
                          
HF_MODEL_ID env var pointing to S3).
                          Expected behavior
                          
Expected: Model created with no ModelDataUrl (container loads via HF_MODEL_ID)
                          
Actual: ValidationException -- "Could not find model data at
                          
s3:///model-builder///"
                          Suggested Fix
                          In _build_for_passthrough(), also clear s3_model_data_url:
                          def _build_for_passthrough(self) -> Model:
if not self.image_uri:
raise ValueError("image_uri is required for pass-through cases")
self.s3_upload_path = None
self.s3_model_data_url = None # <-- add this line
return self._create_model()

                          To reproduce
                          from sagemaker.core.helper.session_helper import Session, get_execution_role
from sagemaker.serve.model_builder import ModelBuilder
sagemaker_session = Session()
region = sagemaker_session.boto_session.region_name
role = get_execution_role(sagemaker_session, use_default=True)
bucket = sagemaker_session.default_bucket()
image_uri = f"763104351884.dkr.ecr.{region}.amazonaws.com/djl-inference:0.33.0-lmi15.0.0-cu128"
model_builder = ModelBuilder(
image_uri=image_uri,
role_arn=role,
sagemaker_session=sagemaker_session,
instance_type="ml.g5.2xlarge",
env_vars={
"HF_MODEL_ID": f"s3://{bucket}/models/any-model",
"OPTION_ROLLING_BATCH": "vllm",
},
)
model_builder.build(model_name="passthrough-bug-repro")

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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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                              ModelBuilder fails w/ DJL container using HF_MODEL_ID #5588
                              Open
                              Open
                              ModelBuilder fails w/ DJL container using HF_MODEL_ID#5588
                              Description
                              @hqudah-aws
                              hqudah-aws
                              opened on Feb 27, 2026
                              PySDK Version
                              •  PySDK V2 (2.x)
                              •  PySDK V3 (3.4.0)
                              Describe the bug
                              
When using ModelBuilder in "passthrough" mode (image_uri + env_vars, no model
                              
or inference_spec), build() fails with a ValidationException because a
                              
non-existent S3 path is injected as ModelDataUrl in the CreateModel request.
                              Passthrough mode is the intended path for deploying models on custom/DJL
                              
containers where the container itself handles model loading (e.g. via
                              
HF_MODEL_ID env var pointing to S3).
                              Expected behavior
                              
Expected: Model created with no ModelDataUrl (container loads via HF_MODEL_ID)
                              
Actual: ValidationException -- "Could not find model data at
                              
s3:///model-builder///"
                              Suggested Fix
                              In _build_for_passthrough(), also clear s3_model_data_url:
                              def _build_for_passthrough(self) -> Model:
if not self.image_uri:
raise ValueError("image_uri is required for pass-through cases")
self.s3_upload_path = None
self.s3_model_data_url = None # <-- add this line
return self._create_model()

                              To reproduce
                              from sagemaker.core.helper.session_helper import Session, get_execution_role
from sagemaker.serve.model_builder import ModelBuilder
sagemaker_session = Session()
region = sagemaker_session.boto_session.region_name
role = get_execution_role(sagemaker_session, use_default=True)
bucket = sagemaker_session.default_bucket()
image_uri = f"763104351884.dkr.ecr.{region}.amazonaws.com/djl-inference:0.33.0-lmi15.0.0-cu128"
model_builder = ModelBuilder(
image_uri=image_uri,
role_arn=role,
sagemaker_session=sagemaker_session,
instance_type="ml.g5.2xlarge",
env_vars={
"HF_MODEL_ID": f"s3://{bucket}/models/any-model",
"OPTION_ROLLING_BATCH": "vllm",
},
)
model_builder.build(model_name="passthrough-bug-repro")

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