Add Qwen3.8-27B-INT6-Flat-6.6bpw-AutoRound weights (flat allocation, AutoRound SignRound)

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

LICENSE

@@ -0,0 +1,202 @@
+
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auto-round-patch/llm_compressor-int567.patch

@@ -0,0 +1,29 @@
+diff --git a/auto_round/export/formats/backends/llm_compressor.py b/auto_round/export/formats/backends/llm_compressor.py
+index 52d18037..16738f14 100644
+--- a/auto_round/export/formats/backends/llm_compressor.py
++++ b/auto_round/export/formats/backends/llm_compressor.py
+@@ -35,6 +35,8 @@ class LLMCompressorFormat(OutputFormat):
+         "INT8_W8A8",
+         "FP8_BLOCK",
+         "W4A16",
++        "W5A16",
++        "W6A16",
+         "W8A16",
+     ]
+     format_name = "llm_compressor"
+@@ -89,13 +91,13 @@ class LLMCompressorFormat(OutputFormat):
+     @classmethod
+     def check_scheme_args(cls: OutputFormat, scheme: QuantizationScheme) -> bool:
+         error_logs = []
+-        if scheme.bits not in [4, 8, 16]:
++        if scheme.bits not in [4, 5, 6, 7, 8, 16]:
+             error_logs.append(f"bits={scheme.bits}")
+         if not re.search("mxfp|fp|nvfp|int", scheme.data_type):
+             error_logs.append(f"data_type={scheme.data_type}")
+         if scheme.data_type == "fp" and scheme.bits != 8:
+             error_logs.append(f"data_type={scheme.data_type}, bits={scheme.bits}")
+-        if scheme.data_type == "int" and scheme.bits not in [4, 8]:
++        if scheme.data_type == "int" and scheme.bits not in [4, 5, 6, 7, 8]:
+             error_logs.append(f"data_type={scheme.data_type}, bits={scheme.bits}")
+         if scheme.super_bits:
+             error_logs.append(f"super_bits={scheme.super_bits}")

chat_template.jinja

@@ -0,0 +1,170 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+    {%- if content is string %}
+        {{- content }}
+    {%- elif content is iterable and content is not mapping %}
+        {%- for item in content %}
+            {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain images.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set image_count.value = image_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Picture ' ~ image_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+            {%- elif 'video' in item or item.type == 'video' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain videos.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set video_count.value = video_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Video ' ~ video_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+            {%- elif 'text' in item %}
+                {{- item.text }}
+            {%- else %}
+                {{- raise_exception('Unexpected item type in content.') }}
+            {%- endif %}
+        {%- endfor %}
+    {%- elif content is none or content is undefined %}
+        {{- '' }}
+    {%- else %}
+        {{- raise_exception('Unexpected content type.') }}
+    {%- endif %}
+{%- endmacro %}
+{%- if not messages %}
+    {{- raise_exception('No messages provided.') }}
+{%- endif %}
+{%- set reasoning_instructions = '' %}
+{%- if enable_thinking is undefined or enable_thinking is true %}
+    {%- set resolved_reasoning_effort = reasoning_effort|default('xhigh') %}
+    {%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low') %}
+        {{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~ '. Supported types are xhigh (default), medium, and low.') }}
+    {%- endif %}
+    {%- if resolved_reasoning_effort == 'xhigh' %}
+        {%- set reasoning_instructions = 'Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer.' %}
+    {%- elif resolved_reasoning_effort == 'low' %}
+        {%- set reasoning_instructions = 'Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration.' %}
+    {%- endif %}
+{%- endif %}
+{%- if tools and tools is iterable and tools is not mapping %}
+    {{- '<|im_start|>system\n' }}
+    {%- if reasoning_instructions %}
+        {{- reasoning_instructions + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>" }}
+    {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
+    {%- if messages[0].role == 'system' %}
+        {%- set content = render_content(messages[0].content, false, true)|trim %}
+        {%- if content %}
+            {{- '\n\n' + content }}
+        {%- endif %}
+    {%- endif %}
+    {{- '<|im_end|>\n' }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {%- set content = render_content(messages[0].content, false, true)|trim %}
+        {%- if content %}
+            {{- '<|im_start|>system\n' + (reasoning_instructions + '\n\n' if reasoning_instructions else '')  + content + '<|im_end|>\n' }}
+        {%- elif reasoning_instructions %}
+            {{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }}
+        {%- endif %}
+    {%- elif reasoning_instructions %}
+        {{- '<|im_start|>system\n' + reasoning_instructions + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" %}
+        {%- set content = render_content(message.content, false)|trim %}
+        {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
+            {%- set ns.multi_step_tool = false %}
+            {%- set ns.last_query_index = index %}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if ns.multi_step_tool %}
+    {{- raise_exception('No user query found in messages.') }}
+{%- endif %}
+{%- for message in messages %}
+    {%- set content = render_content(message.content, true)|trim %}
+    {%- if message.role == "system" %}
+        {%- if not loop.first %}
+            {{- raise_exception('System message must be at the beginning.') }}
+        {%- endif %}
+    {%- elif message.role == "user" %}
+        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is string %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- endif %}
+        {%- set reasoning_content = reasoning_content|trim %}
+        {%- if preserve_thinking is undefined or preserve_thinking is true or loop.index0 > ns.last_query_index %}
+            {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if tool_call.function is defined %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {%- if loop.first %}
+                    {%- if content|trim %}
+                        {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                    {%- else %}
+                        {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                    {%- endif %}
+                {%- else %}
+                    {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
+                {%- endif %}
+                {%- if tool_call.arguments is defined and tool_call.arguments != '' %}
+                    {%- for args_name, args_value in tool_call.arguments|items %}
+                        {{- '<parameter=' + args_name + '>\n' }}
+                        {%- set args_value = args_value | string if args_value is string else args_value | tojson | safe %}
+                        {{- args_value }}
+                        {{- '\n</parameter>\n' }}
+                    {%- endfor %}
+                {%- endif %}
+                {{- '</function>\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.previtem and loop.previtem.role != "tool" %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if not loop.last and loop.nextitem.role != "tool" %}
+            {{- '<|im_end|>\n' }}
+        {%- elif loop.last %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- else %}
+        {{- raise_exception('Unexpected message role.') }}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- else %}
+        {{- '<think>\n' }}
+    {%- endif %}
+{%- endif %}

config.json

@@ -0,0 +1,925 @@
+{
+  "architectures": [
+    "Qwen3_5ForConditionalGeneration"
+  ],
+  "image_token_id": 248056,
+  "language_model_only": false,
+  "model_type": "qwen3_5",
+  "quantization_config": {
+    "config_groups": {
+      "group_0": {
+        "format": "pack-quantized",
+        "input_activations": null,
+        "output_activations": null,
+        "targets": [
+          "model.language_model.layers.0.linear_attn.in_proj_qkv",
+          "model.language_model.layers.0.linear_attn.in_proj_z",
+          "model.language_model.layers.0.linear_attn.out_proj",
+          "model.language_model.layers.0.mlp.down_proj",
+          "model.language_model.layers.0.mlp.gate_proj",
+          "model.language_model.layers.0.mlp.up_proj",
+          "model.language_model.layers.1.linear_attn.in_proj_qkv",
+          "model.language_model.layers.1.linear_attn.in_proj_z",
+          "model.language_model.layers.1.linear_attn.out_proj",
+          "model.language_model.layers.1.mlp.down_proj",
+          "model.language_model.layers.1.mlp.gate_proj",
+          "model.language_model.layers.1.mlp.up_proj",
+          "model.language_model.layers.10.linear_attn.in_proj_qkv",
+          "model.language_model.layers.10.linear_attn.in_proj_z",
+          "model.language_model.layers.10.linear_attn.out_proj",
+          "model.language_model.layers.10.mlp.down_proj",
+          "model.language_model.layers.10.mlp.gate_proj",
+          "model.language_model.layers.10.mlp.up_proj",
+          "model.language_model.layers.11.mlp.down_proj",
+          "model.language_model.layers.11.mlp.gate_proj",
+          "model.language_model.layers.11.mlp.up_proj",
+          "model.language_model.layers.11.self_attn.k_proj",
+          "model.language_model.layers.11.self_attn.o_proj",
+          "model.language_model.layers.11.self_attn.q_proj",
+          "model.language_model.layers.11.self_attn.v_proj",
+          "model.language_model.layers.12.linear_attn.in_proj_qkv",
+          "model.language_model.layers.12.linear_attn.in_proj_z",
+          "model.language_model.layers.12.linear_attn.out_proj",
+          "model.language_model.layers.12.mlp.down_proj",
+          "model.language_model.layers.12.mlp.gate_proj",
+          "model.language_model.layers.12.mlp.up_proj",
+          "model.language_model.layers.13.linear_attn.in_proj_qkv",
+          "model.language_model.layers.13.linear_attn.in_proj_z",
+          "model.language_model.layers.13.linear_attn.out_proj",
+          "model.language_model.layers.13.mlp.down_proj",
+          "model.language_model.layers.13.mlp.gate_proj",
+          "model.language_model.layers.13.mlp.up_proj",
+          "model.language_model.layers.14.linear_attn.in_proj_qkv",
+          "model.language_model.layers.14.linear_attn.in_proj_z",
+          "model.language_model.layers.14.linear_attn.out_proj",
+          "model.language_model.layers.14.mlp.down_proj",
+          "model.language_model.layers.14.mlp.gate_proj",
+          "model.language_model.layers.14.mlp.up_proj",
+          "model.language_model.layers.15.mlp.down_proj",
+          "model.language_model.layers.15.mlp.gate_proj",
+          "model.language_model.layers.15.mlp.up_proj",
+          "model.language_model.layers.15.self_attn.k_proj",
+          "model.language_model.layers.15.self_attn.o_proj",
+          "model.language_model.layers.15.self_attn.q_proj",
+          "model.language_model.layers.15.self_attn.v_proj",
+          "model.language_model.layers.16.linear_attn.in_proj_qkv",
+          "model.language_model.layers.16.linear_attn.in_proj_z",
+          "model.language_model.layers.16.linear_attn.out_proj",
+          "model.language_model.layers.16.mlp.down_proj",
+          "model.language_model.layers.16.mlp.gate_proj",
+          "model.language_model.layers.16.mlp.up_proj",
+          "model.language_model.layers.17.linear_attn.in_proj_qkv",
+          "model.language_model.layers.17.linear_attn.in_proj_z",
+          "model.language_model.layers.17.linear_attn.out_proj",
+          "model.language_model.layers.17.mlp.down_proj",
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generation_config.json

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+    "image_std": [
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+      0.5,
+      0.5
+    ],
+    "merge_size": 2,
+    "patch_size": 16,
+    "resample": 3,
+    "rescale_factor": 0.00392156862745098,
+    "size": {
+      "longest_edge": 16777216,
+      "shortest_edge": 65536
+    },
+    "temporal_patch_size": 2
+  },
+  "processor_class": "Qwen3VLProcessor",
+  "video_processor": {
+    "do_convert_rgb": true,
+    "do_normalize": true,
+    "do_rescale": true,
+    "do_resize": true,
+    "do_sample_frames": true,
+    "fps": 2,
+    "image_mean": [
+      0.5,
+      0.5,
+      0.5
+    ],
+    "image_std": [
+      0.5,
+      0.5,
+      0.5
+    ],
+    "max_frames": 768,
+    "merge_size": 2,
+    "min_frames": 4,
+    "patch_size": 16,
+    "resample": 3,
+    "rescale_factor": 0.00392156862745098,
+    "return_metadata": false,
+    "size": {
+      "longest_edge": 25165824,
+      "shortest_edge": 4096
+    },
+    "temporal_patch_size": 2,
+    "video_processor_type": "Qwen3VLVideoProcessor"
+  }
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
+size 19989325

tokenizer_config.json

@@ -0,0 +1,33 @@
+{
+  "add_prefix_space": false,
+  "audio_bos_token": "<|audio_start|>",
+  "audio_eos_token": "<|audio_end|>",
+  "audio_token": "<|audio_pad|>",
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "image_token": "<|image_pad|>",
+  "is_local": true,
+  "local_files_only": false,
+  "model_max_length": 262144,
+  "model_specific_special_tokens": {
+    "audio_bos_token": "<|audio_start|>",
+    "audio_eos_token": "<|audio_end|>",
+    "audio_token": "<|audio_pad|>",
+    "image_token": "<|image_pad|>",
+    "video_token": "<|video_pad|>",
+    "vision_bos_token": "<|vision_start|>",
+    "vision_eos_token": "<|vision_end|>"
+  },
+  "pad_token": "<|endoftext|>",
+  "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+  "processor_class": "Qwen3VLProcessor",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null,
+  "video_token": "<|video_pad|>",
+  "vision_bos_token": "<|vision_start|>",
+  "vision_eos_token": "<|vision_end|>"
+}

video_preprocessor_config.json

@@ -0,0 +1,21 @@
+{
+    "size": {
+        "longest_edge": 25165824,
+        "shortest_edge": 4096
+    },
+    "patch_size": 16,
+    "temporal_patch_size": 2,
+    "merge_size": 2,
+    "image_mean": [
+        0.5,
+        0.5,
+        0.5
+    ],
+    "image_std": [
+        0.5,
+        0.5,
+        0.5
+    ],
+    "processor_class": "Qwen3VLProcessor",
+    "video_processor_type": "Qwen3VLVideoProcessor"
+}

vllm-patch/apply.sh

@@ -0,0 +1,80 @@
+#!/usr/bin/env bash
+# apply.sh — build bind-mountable copies of vLLM's Qwen3.5 model files with
+# quantized-embedding support wired in.
+#
+# Why this is needed
+# -----------------
+# vLLM already ships a compressed-tensors quantized-embedding implementation
+# (`CompressedTensorsEmbeddingWNA16Int` in
+# model_executor/layers/quantization/compressed_tensors/compressed_tensors_embedding.py).
+# It is simply never reached for Qwen3.5, because models/qwen3_5.py builds
+#
+#     self.embed_tokens = VocabParallelEmbedding(self.vocab_size, config.hidden_size)
+#
+# with neither `quant_config` nor `prefix`, so VocabParallelEmbedding falls back to
+# `UnquantizedEmbeddingMethod` unconditionally. `ParallelLMHead` in the same file
+# does receive `quant_config`, which is why this looks like an oversight rather
+# than a design decision.
+#
+# Without the patch, loading this checkpoint fails with:
+#
+#     ValueError: There is no module or parameter named 'embed_tokens.weight_packed'
+#     in Qwen3_5Model. The available parameters belonging to embed_tokens
+#     (VocabParallelEmbedding) are: {'embed_tokens.weight'}
+#
+# The patch adds two keyword arguments and nothing else. On a checkpoint whose
+# embeddings are *not* quantized, `get_scheme_dict` returns None and the layer
+# falls back to `UnquantizedEmbeddingMethod` exactly as before, so the change is
+# backward compatible.
+#
+# Usage
+# -----
+#     ./apply.sh [image]                 # default: the image below
+#     podman run ... $(cat mounts.txt) <image> --model /model ...
+#
+# Verified against vLLM 0.26.1rc1.dev542+gb22afe45a on 2026-08-18.
+set -euo pipefail
+
+HERE="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+IMAGE="${1:-docker.io/library/vllm-p2p-env-qwen38-27b:latest}"
+MODELS_DIR=/usr/local/lib/python3.12/dist-packages/vllm/model_executor/models
+RUNTIME="${CONTAINER_RUNTIME:-podman}"
+
+say() { echo "[apply.sh] $*"; }
+
+say "extracting originals from $IMAGE"
+"$RUNTIME" run --rm -v "$HERE":/o --entrypoint bash "$IMAGE" -c "
+  set -e
+  for f in qwen3_5.py qwen3_5_mtp.py; do
+    cp $MODELS_DIR/\$f /o/\$f.orig
+    chmod 666 /o/\$f.orig
+  done
+  python3 -c 'import vllm; print(\"vllm\", vllm.__version__)' > /o/.vllm-version
+  chmod 666 /o/.vllm-version
+"
+say "image reports $(cat "$HERE/.vllm-version")"
+
+for f in qwen3_5.py qwen3_5_mtp.py; do
+    cp "$HERE/$f.orig" "$HERE/$f"
+    # The target is given explicitly, so the a/ b/ paths in the diff header do
+    # not have to match this directory layout.
+    if ! patch "$HERE/$f" < "$HERE/$f.patch" >/dev/null; then
+        say "✗ $f.patch did not apply — vLLM changed upstream."
+        say "  Re-derive it: put the new originals next to make_embed_quant_patch.py,"
+        say "  run it, and diff -u the result. It refuses to guess if the anchor moved."
+        rm -f "$HERE/$f"
+        exit 1
+    fi
+    say "✓ patched $f"
+done
+
+{
+    for f in qwen3_5.py qwen3_5_mtp.py; do
+        printf -- '-v %s:%s:ro ' "$HERE/$f" "$MODELS_DIR/$f"
+    done
+    echo
+} > "$HERE/mounts.txt"
+
+say "wrote $HERE/mounts.txt:"
+cat "$HERE/mounts.txt"
+say "add those flags to your podman/docker run, or the equivalent volumes: entries in compose."

vllm-patch/make_embed_quant_patch.py

@@ -0,0 +1,74 @@
+#!/usr/bin/env python3
+"""
+Usage:
+    podman run --rm -v $PWD:/o --entrypoint bash <image> -c \
+      'cp /usr/local/lib/python3.12/dist-packages/vllm/model_executor/models/qwen3_5.py /o/qwen3_5.py.orig; \
+       cp /usr/local/lib/python3.12/dist-packages/vllm/model_executor/models/qwen3_5_mtp.py /o/qwen3_5_mtp.py.orig'
+    python3 make_embed_quant_patch.py
+    podman run ... -v $PWD/qwen3_5.py:/usr/local/.../models/qwen3_5.py:ro ...
+"""
+import os
+import sys
+
+HERE = os.path.dirname(os.path.abspath(__file__))
+
+EDITS = [
+    (
+        "qwen3_5.py",
+        """        self.embed_tokens = VocabParallelEmbedding(
+            self.vocab_size,
+            config.hidden_size,
+        )
+""",
+        """        self.embed_tokens = VocabParallelEmbedding(
+            self.vocab_size,
+            config.hidden_size,
+            quant_config=self.quant_config,
+            prefix=maybe_prefix(prefix, "embed_tokens"),
+        )
+""",
+    ),
+    (
+        "qwen3_5_mtp.py",
+        """        self.embed_tokens = VocabParallelEmbedding(
+            self.vocab_size,
+            config.hidden_size,
+        )
+""",
+        """        self.embed_tokens = VocabParallelEmbedding(
+            self.vocab_size,
+            config.hidden_size,
+            quant_config=quant_config,
+            prefix=maybe_prefix(prefix, "embed_tokens"),
+        )
+""",
+    ),
+]
+
+
+def main():
+    rc = 0
+    for fn, old, new in EDITS:
+        src = os.path.join(HERE, fn + ".orig")
+        dst = os.path.join(HERE, fn)
+        if not os.path.exists(src):
+            print(f"✗ {src} が無い。先にイメージから取り出すこと")
+            rc = 1
+            continue
+        text = open(src).read()
+        n = text.count(old)
+        if n != 1:
+            print(f"✗ {fn}: 想定パターンが {n} 個。vLLM 側が変わった可能性がある")
+            rc = 1
+            continue
+        if "maybe_prefix" not in text:
+            print(f"✗ {fn}: maybe_prefix が import されていない")
+            rc = 1
+            continue
+        open(dst, "w").write(text.replace(old, new))
+        print(f"✓ {fn}: embed_tokens に quant_config / prefix を配線した -> {dst}")
+    return rc
+
+
+if __name__ == "__main__":
+    sys.exit(main())

vllm-patch/qwen3_5.py.patch

@@ -0,0 +1,11 @@
+--- a/vllm/model_executor/models/qwen3_5.py
++++ b/vllm/model_executor/models/qwen3_5.py
+@@ -244,6 +244,8 @@
+         self.embed_tokens = VocabParallelEmbedding(
+             self.vocab_size,
+             config.hidden_size,
++            quant_config=self.quant_config,
++            prefix=maybe_prefix(prefix, "embed_tokens"),
+         )
+ 
+         def get_layer(prefix: str):

vllm-patch/qwen3_5_mtp.py.patch

@@ -0,0 +1,11 @@
+--- a/vllm/model_executor/models/qwen3_5_mtp.py
++++ b/vllm/model_executor/models/qwen3_5_mtp.py
+@@ -82,6 +82,8 @@
+         self.embed_tokens = VocabParallelEmbedding(
+             self.vocab_size,
+             config.hidden_size,
++            quant_config=quant_config,
++            prefix=maybe_prefix(prefix, "embed_tokens"),
+         )
+ 
+         # Workaround: mtp.fc is stored as BF16 in NVFP4 checkpoints but is