initial release

.gitattributes

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LICENSE

@@ -0,0 +1,233 @@
+Swift Open License v1.0
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+TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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+END OF TERMS AND CONDITIONS
+
+APPENDIX: Notice for redistributors (quantizations, conversions, merges).
+
+   Copyright 2026 UkisAI. Swift Contribution licensed under the Swift Open
+   License v1.0 (https://huggingface.co/ukisai/Swift-1.5-Qwen3.8-27b/blob/main/LICENSE).
+   Derivative of Qwen3.8-27B, Copyright 2026 Alibaba Cloud, Apache License 2.0.

LICENSE-APACHE-2.0

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+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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+      outstanding shares, or (iii) beneficial ownership of such entity.
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+      "Contributor" shall mean Licensor and any individual or Legal Entity
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+      or a Contribution incorporated within the Work constitutes direct
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+      meet the following conditions:
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+
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+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
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+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
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+   Copyright 2026 Alibaba Cloud
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
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+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.

NOTICE

@@ -0,0 +1,24 @@
+Swift 1.5 Qwen3.8-27B
+Copyright 2026 UkisAI
+
+UkisAI's contribution (the "Swift Contribution") is licensed under the
+Swift Open License v1.0. See LICENSE.
+
+This model is a Derivative Work of Qwen3.8-27B
+  https://huggingface.co/Qwen/Qwen3.8-27B
+  Copyright 2026 Alibaba Cloud
+  Licensed under the Apache License, Version 2.0. See LICENSE-APACHE-2.0.
+
+Swift 1.5 continues UkisAI's Swift 1.0 model, itself a Qwen3.8-27B
+derivative. The full release incorporates the Qwen3.8-27B Base Model and
+UkisAI's Swift 1.0 and Swift 1.5 contributions.
+
+Changes made by UkisAI (Apache License 2.0, Section 4(b) change notice):
+  - model-*.safetensors, model.safetensors.index.json: the model weights from
+    Swift 1.0 were further adapted by UkisAI using additional post-training
+    methods.
+  - README.md: replaced. LICENSE and NOTICE added.
+  - All other files (config.json, generation_config.json, chat_template.jinja,
+    tokenizer.json, tokenizer_config.json, vocab.json, merges.txt,
+    preprocessor_config.json, video_preprocessor_config.json) are retained from
+    the parent model and remain available under Apache License, Version 2.0.

QUANTIZATION_MANIFEST.json

@@ -0,0 +1,56 @@
+{
+  "checkpoint": {
+    "dtype_tensor_counts": {
+      "BF16": 1349,
+      "U32": 498
+    },
+    "forbidden_tensor_count": 0,
+    "quantized_modules": 498,
+    "tensor_bytes": 11771132928,
+    "tensor_count": 1847,
+    "weight_shard_names": [
+      "model-00001-of-00003.safetensors",
+      "model-00002-of-00003.safetensors",
+      "model-00003-of-00003.safetensors"
+    ],
+    "weight_shards": 3
+  },
+  "conversion_seconds": 109.0009167090002,
+  "created_at": "2026-09-22T10:14:32.912828+00:00",
+  "download_seconds": 0.0901509180002904,
+  "intentionally_omitted_components": [
+    "vision",
+    "MTP"
+  ],
+  "official_mlx_lm_commit": "c69d1288440a0dc4e6401fc417098b07598dccd5",
+  "output_repository": "ukisai/Swift-1.5-3bit-MLX-TextOnly",
+  "packages": {
+    "huggingface-hub": "1.31.0",
+    "mlx": "0.32.2",
+    "mlx-cpu": "0.32.2",
+    "mlx-lm": "0.32.0",
+    "safetensors": "0.8.0",
+    "transformers": "5.14.1"
+  },
+  "platform": "Linux-7.0.0-1012-aws-x86_64-with-glibc2.39",
+  "python": "3.12.3",
+  "quantization": {
+    "bits": 3,
+    "group_size": 64,
+    "method": "official MLX-LM affine round-to-nearest conversion",
+    "mode": "affine"
+  },
+  "smoke_test": {
+    "cases": [],
+    "device": "Device(cpu, 0)",
+    "floating_runtime_dtype": null,
+    "load_seconds": null,
+    "status": "SKIPPED_LINUX_CPU_TARGET_IS_APPLE_METAL"
+  },
+  "source_repository": "ukisai/Swift-1.5-Qwen3.8-27b",
+  "source_revision": "33b0d0c52004c08c88a98bb226e07852b9871aae",
+  "source_weight_bytes": 55563006776,
+  "source_weight_shards": 18,
+  "status": "VALIDATED",
+  "text_only": true
+}

README.md

@@ -0,0 +1,132 @@
+---
+license: other
+license_name: swift-open-license-1.0
+license_link: https://huggingface.co/ukisai/Swift-1.5-3bit-MLX-TextOnly/blob/main/LICENSE
+base_model: ukisai/Swift-1.5-Qwen3.8-27b
+base_model_relation: quantized
+library_name: mlx
+pipeline_tag: text-generation
+tags:
+  - mlx
+  - quantized
+  - 3-bit
+  - affine
+  - text-only
+  - qwen3_8
+---
+
+<div align="center">
+  <a href="https://ukisai.com"><img src="ukisai-banner.png" alt="UkisAI" style="width:100%;max-width:100%;height:auto;display:block;margin-bottom:0.6em;" /></a>
+  <a href="https://ukisai.com">Website</a> &bull;
+  <a href="https://ukisai.com/products/swift">Learn more</a> &bull;
+  <a href="https://huggingface.co/ukisai/Swift-1.5-Qwen3.8-27b">BF16 model</a> &bull;
+  <a href="https://huggingface.co/ukisai/Swift-1.5-Qwen3.8-27B-GGUF">GGUF</a> &bull;
+  <a href="https://huggingface.co/ukisai/Swift-1.5-Qwen3.8-27B-GSQ-RCO-GGUF">GSQ-RCO GGUF</a> &bull;
+  <a href="#evaluation">Evaluation</a> &bull;
+  <a href="#license-and-access">Enterprise licensing</a>
+</div>
+
+# Swift 1.5 Qwen3.8-27B — 3-bit MLX TextOnly
+
+**MLX affine 3-bit quantization, group size 64.** Swift 1.5 is UkisAI's
+reasoning-efficient Qwen3.8-27B derivative, focused on long-horizon, agentic and
+coding tasks. This export retains the text model; vision and MTP are intentionally
+omitted. It is not an image/video model or a speculative-MTP implementation.
+
+Swift 1.5 uses **58.5% fewer thinking tokens** than base Qwen3.8-27B while scoring **0.35% higher**, for a **9.18× speed-up** on several tasks.
+
+> [!CAUTION]
+> Use only a complete snapshot whose files match `UPLOAD_MANIFEST.json`.
+> A build-integrity check is not a generation or quality certificate.
+> BF16 quality parity and long-context operation have not been independently established.
+
+## Demo
+
+We gave base Qwen3.8-27B and Swift 1.5 27B the same prompt:
+
+> create a 3d little planet globe where I (player can walk around) and it has all these biomes to explore, the globe doesn't have to be too big, but still fun to go around. It's about a boy scout who is camping and goes around exploring.
+
+<video src="https://huggingface.co/ukisai/Swift-1.5-3bit-MLX-TextOnly/resolve/main/swift-1.5-planet-demo.mp4" controls autoplay muted loop playsinline style="width:100%;height:auto;border-radius:12px;"></video>
+
+Try the game yourself here: [https://ukisai.com/swift-games/27b](https://ukisai.com/swift-games/27b)
+
+Base Qwen3.8-27B took 104.6 minutes to build its game. Swift 1.5 took 11.39 minutes.
+
+## Source and quantization
+
+The recorded conversion source is the customized Swift BF16 model at
+[`33b0d0c52004c08c88a98bb226e07852b9871aae`](https://huggingface.co/ukisai/Swift-1.5-Qwen3.8-27b/tree/33b0d0c52004c08c88a98bb226e07852b9871aae),
+using official Apple MLX-LM commit `c69d1288440a0dc4e6401fc417098b07598dccd5`.
+The later complete BF16 revision
+[`5ad04445d2686f525e9fbe5c077e6fa0c7df4200`](https://huggingface.co/ukisai/Swift-1.5-Qwen3.8-27b/tree/5ad04445d2686f525e9fbe5c077e6fa0c7df4200)
+is a reference link, not a replacement for the actual conversion provenance.
+This independent audit has not established full source-value equivalence between
+those revisions. No base Qwen or other quantized checkpoint is substituted.
+
+The original build contains three shards and 11,771,132,928 bytes of tensor data:
+1,847 saved tensors, including 498 packed UINT32 weights and 1,349 BF16 tensors.
+The original build report records 498 quantized modules and no vision/MTP tensors.
+The independent recovery check verified full file SHA-256 values and header/index
+consistency of the original build. These checks do not measure generation quality.
+
+## Evaluation
+
+See the [Swift BF16 source evaluation](https://huggingface.co/ukisai/Swift-1.5-Qwen3.8-27b#evaluation).
+Those results were not rerun on this 3-bit export and are not its benchmark scores.
+Aggressive 3-bit quantization may reduce quality; no quality-parity claim is made.
+
+## Validation and use
+
+[USAGE.md](USAGE.md) provides pinned installation, integrity verification and a
+text-generation example. This TextOnly export uses the official text architecture;
+the separate full-model patch that permits only 4/5-bit is not required or claimed
+to support 3-bit.
+
+[QUANTIZATION_MANIFEST.json](QUANTIZATION_MANIFEST.json) is the preserved original
+build report. Its `VALIDATED` label refers to build/structural checks: its recorded
+generation test was skipped and contains no generated cases. Do not interpret it
+as an Apple Silicon, Linux generation, long-context or quality PASS.
+[Package checks](compatibility/package-checks.json) separately record the newly
+performed tokenizer and original-file checks, including their limited scope.
+
+The approximately 11.77 GB tensor payload is not the complete memory requirement.
+Runtime, cache and OS memory are additional. Do not raise system memory limits
+to fit this model, or assume long-context support from the tensor size alone.
+Only text messages are supported. Images, video and MTP are outside this release.
+
+Exact-output formatting is not guaranteed: JSON may include Markdown fences,
+and Unicode normalization or letter case may change. Validate structured
+output in your application.
+
+## License and access
+
+Swift 1.5 derives from [Qwen3.8-27B](https://huggingface.co/Qwen/Qwen3.8-27B)
+(Copyright 2026 Alibaba Cloud, [Apache License 2.0](https://huggingface.co/ukisai/Swift-1.5-3bit-MLX-TextOnly/blob/main/LICENSE-APACHE-2.0)).
+UkisAI's adapted weights are licensed under the [Swift Open License v1.0](https://huggingface.co/ukisai/Swift-1.5-3bit-MLX-TextOnly/blob/main/LICENSE).
+See [NOTICE](https://huggingface.co/ukisai/Swift-1.5-3bit-MLX-TextOnly/blob/main/NOTICE) for attribution and change notices.
+
+Personal, research, educational, evaluation and commercial use are free for
+individuals and organizations with gross annual revenue, including affiliates,
+of up to US$1,000,000. Above that threshold, commercial use requires a separate
+Swift Enterprise License. Contact [UkisAI](https://ukisai.com/contact) for terms.
+Nothing in the Swift Open License limits the Apache 2.0 rights in Qwen3.8-27B itself.
+The upstream Apple MLX-LM [MIT notice](compatibility/LICENSE-MLX-LM-MIT) is separate
+from the model-weight licenses.
+
+## Citation
+
+```bibtex
+@misc{swift-1.5-qwen3.8-27b,
+  title  = {Swift 1.5 Qwen3.8-27B},
+  author = {UkisAI},
+  year   = {2026},
+  url    = {https://huggingface.co/ukisai/Swift-1.5-Qwen3.8-27b}
+}
+```
+
+## Acknowledgements
+
+We acknowledge the [NVIDIA Innovation Lab](https://www.nvidia.com/en-us/data-center/innovation-lab/),
+[Amazon Web Services](https://aws.amazon.com/), and [Google Cloud](https://cloud.google.com/)
+for compute credits and infrastructure support for Swift's development, training
+and evaluation.

UPLOAD_MANIFEST.json

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USAGE.md

@@ -0,0 +1,65 @@
+# Swift 1.5 3-bit TextOnly — local use
+
+Use a complete snapshot and verify its file integrity before loading.
+The 11.77 GB tensor payload plus runtime, cache and OS must fit in available
+memory. Do not raise system memory limits. Short generation does not
+establish long-context operation or BF16 quality parity.
+
+## Install the pinned text runtime
+
+Use Python 3.12 in an isolated environment on Apple Silicon. No full-model 4/5-bit
+architecture patch is needed for this `language_model_only: true` export.
+
+```bash
+python3.12 -m venv .venv-swift3
+source .venv-swift3/bin/activate
+python -m pip install 'mlx==0.32.2' 'transformers==5.14.1' 'huggingface_hub==1.31.0'
+git clone https://github.com/ml-explore/mlx-lm.git swift3-mlx-lm
+git -C swift3-mlx-lm checkout --detach c69d1288440a0dc4e6401fc417098b07598dccd5
+python -m pip install -e ./swift3-mlx-lm
+```
+
+Use a new working directory. After installing the HF CLI, run `hf auth login`
+interactively if not already signed in with access to this private repository.
+The command below resolves current main once to a full commit and then uses
+only that pinned snapshot. For a repeat run, reuse the recorded commit.
+Do not use an incomplete historical upload or proceed after verification failure.
+
+```bash
+SWIFT_MLX_REVISION="$(python -c 'from huggingface_hub import HfApi; print(HfApi().model_info("ukisai/Swift-1.5-3bit-MLX-TextOnly").sha)')"
+printf 'Pinned model revision: %s\n' "$SWIFT_MLX_REVISION"
+hf download ukisai/Swift-1.5-3bit-MLX-TextOnly --revision "$SWIFT_MLX_REVISION" --local-dir Swift-1.5-3bit-MLX-TextOnly
+hf cache verify ukisai/Swift-1.5-3bit-MLX-TextOnly --revision "$SWIFT_MLX_REVISION" --local-dir Swift-1.5-3bit-MLX-TextOnly --fail-on-missing-files
+python Swift-1.5-3bit-MLX-TextOnly/verify_release.py Swift-1.5-3bit-MLX-TextOnly
+```
+
+The included `verify_release.py` does not load the model or access the network.
+Use its `--manifest-sha256` option with a trusted digest from the reviewed release plan.
+Without a trusted manifest digest it verifies consistency, not source authenticity.
+It must fail for missing, truncated or modified shards. Do not proceed after failure.
+
+## Text chat
+
+```python
+import mlx.core as mx
+from mlx_lm import generate, load
+from mlx_lm.sample_utils import make_sampler
+
+if mx.default_device() != mx.gpu:
+    raise RuntimeError("This example requires Apple Silicon/Metal; CPU is not certified.")
+model, tokenizer = load("Swift-1.5-3bit-MLX-TextOnly")
+messages = [{"role": "user", "content": "Reply with exactly: Hello from Swift."}]
+if any(not isinstance(message.get("content"), str) for message in messages):
+    raise ValueError("TextOnly: images, video and structured multimodal input are unsupported.")
+prompt = tokenizer.apply_chat_template(
+    messages, tokenize=False, add_generation_prompt=True, enable_thinking=False
+)
+mx.random.seed(20260922)
+print(generate(model, tokenizer, prompt=prompt, max_tokens=32, sampler=make_sampler(temp=0)))
+```
+
+The inherited template also accepts `reasoning_effort="low"`, `"medium"`, and
+`"xhigh"`. Template/token comparisons are separate from inference behavior.
+Full-model Linux generation, the reasoning-effort generation matrix,
+100-request stability, long context and BF16 quality comparisons remain NOT_RUN.
+Do not pass image/video content through a text-only interface and report multimodal success.

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 %}

compatibility/LICENSE-MLX-LM-MIT

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright © 2023 Apple Inc.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

compatibility/package-checks.json

@@ -0,0 +1,2028 @@
+{
+  "observed_at": "2026-09-22T14:48:11.669625+00:00",
+  "source": "Independent local packaging audit",
+  "scope": "Original-build file integrity and runtime assets; no full model generation",
+  "original_build_integrity": {
+    "model": "mlx3",
+    "event": "SUMMARY",
+    "file_count": 15,
+    "tensor_count": 1847,
+    "manifest_sha256": "972fe2f40770695336f6409306feb90603aa383353ed351c3ca8d049318d9f46",
+    "manifest_mismatches": [],
+    "header_index_status": "PASS",
+    "elapsed_seconds": 89.18617745199998,
+    "scope": "Original build; NOT HF upload validation"
+  },
+  "original_small_file_matches": [
+    {
+      "file": "LICENSE",
+      "sha256": "1367057bf17041aa1d69286a1400be5f464d2f8b8f54f600088b209eac1850be",
+      "matches_original_build": true
+    },
+    {
+      "file": "LICENSE-APACHE-2.0",
+      "sha256": "bbedc3fda3305820b977265f01b8619d87570a6739de3a5582c3464840f1e57a",
+      "matches_original_build": true
+    },
+    {
+      "file": "NOTICE",
+      "sha256": "be30f3d464974990e40e9833bc6f356fd89fe16733c6c1a581d97106b8ae741d",
+      "matches_original_build": true
+    },
+    {
+      "file": "QUANTIZATION_MANIFEST.json",
+      "sha256": "e446d21a009c85fd7b8b184a65b77141d828d901d882d3aab0cecc972e4f5a2f",
+      "matches_original_build": true
+    },
+    {
+      "file": "README.md",
+      "sha256": "0fcdd888cffd80e5fca9348092d8d1905a69f0e85ecbd31e09ca694f92fe0f75",
+      "matches_original_build": true
+    },
+    {
+      "file": "chat_template.jinja",
+      "sha256": "c3cf9e34abf4f9e36c2d72165aa9c132d3e2a725b6c2586aaa3a8af9d7a81041",
+      "matches_original_build": true
+    },
+    {
+      "file": "config.json",
+      "sha256": "09331c5083cfc9abdcf5ef5b7193c5b4184d8129ad058f2fbec58483aa2826b4",
+      "matches_original_build": true
+    },
+    {
+      "file": "generation_config.json",
+      "sha256": "e70c136c1b78ddc1fb0905bac8e733a4dc448d4f852a5dd75143fffc70be550e",
+      "matches_original_build": true
+    },
+    {
+      "file": "model.safetensors.index.json",
+      "sha256": "f2d58e269f3d60bee657d756dd7df80f171d7ab5a50e1ca7633d27abb041c3a9",
+      "matches_original_build": true
+    },
+    {
+      "file": "tokenizer.json",
+      "sha256": "06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523",
+      "matches_original_build": true
+    },
+    {
+      "file": "tokenizer_config.json",
+      "sha256": "95c557768e6b88a7128befc7bfd3c7de50e5d51af9b8b33a9f4dee0e04f99679",
+      "matches_original_build": true
+    },
+    {
+      "file": "ukisai-banner.png",
+      "sha256": "8577252b8b37e331f06f7ddecdf3bfa1c497e164f9eb36d78c37232d1b8492ca",
+      "matches_original_build": true
+    }
+  ],
+  "original_small_file_matches_scope": "Verified inputs before the documented documentation overlay; current file digests are in UPLOAD_MANIFEST.json.",
+  "tokenizer_comparison": {
+    "status": "PASS",
+    "cases": [
+      {
+        "case": "copy-01",
+        "options": {},
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "4c818d1bec319bdcb9f9ae6fb165958cc228993b88271d074717a54da892a12c",
+        "token_ids_sha256": "a92b1c7a4f0c7046a5d8adfa819d3d92870cce145b5316398b467f77267b467b"
+      },
+      {
+        "case": "copy-01",
+        "options": {
+          "enable_thinking": false
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "65d21c471e0404dd574585906ea708c25e143644e26d6f6da38a963c89d95353",
+        "token_ids_sha256": "2f2ea6c38bd950ee61cab76d0e0a2719b90793c129881f4653665f6f32e83f37"
+      },
+      {
+        "case": "copy-01",
+        "options": {
+          "reasoning_effort": "low"
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "18150302804516ca9bde6d9f4859e35de3047beb7f3f42db2c709f9f659f7d97",
+        "token_ids_sha256": "99796b2eb8cb5ea634506794c13de258c6a4381ef2ff617a4952a2e81100a773"
+      },
+      {
+        "case": "copy-01",
+        "options": {
+          "reasoning_effort": "medium"
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "cc38501bdf707099ff6a0e337475ea7df68417bfc4012dbeff043f22d9d671ef",
+        "token_ids_sha256": "628de4373c94835dfb58149eb1f3a6cc7de44019ecff368687b61a6271501263"
+      },
+      {
+        "case": "copy-01",
+        "options": {
+          "reasoning_effort": "xhigh"
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "4c818d1bec319bdcb9f9ae6fb165958cc228993b88271d074717a54da892a12c",
+        "token_ids_sha256": "a92b1c7a4f0c7046a5d8adfa819d3d92870cce145b5316398b467f77267b467b"
+      },
+      {
+        "case": "copy-02",
+        "options": {},
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "c899009f64185c1cf610481f00667851c613755d9992bbea2782f63a23aeab50",
+        "token_ids_sha256": "a2c44489d2864ff48ab7c3c4ed23786132dba628a7160d29d49538eb7754232d"
+      },
+      {
+        "case": "copy-02",
+        "options": {
+          "enable_thinking": false
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "0dce1e6a9eae5b1630ac76c0d094e90b3d51252fe393b03eee6678564e29f43a",
+        "token_ids_sha256": "ca5fbed68bb860caa55ef73136f045a99917c48c8897883c60f8c71646f03e4f"
+      },
+      {
+        "case": "copy-02",
+        "options": {
+          "reasoning_effort": "low"
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "398a9d6fee34ee4123220a2a2902f597f4313c8511d97f6793d6b546466c0421",
+        "token_ids_sha256": "d2a89478a168aa84c857b0a92a02e92d72827dafe25d4b295a85cb6e4ae62451"
+      },
+      {
+        "case": "copy-02",
+        "options": {
+          "reasoning_effort": "medium"
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "34206e0e86b7b48b6e4a90b432c00dfecd7e215379355ddf16616a891ec15a5f",
+        "token_ids_sha256": "f6d035e18f6cce3a81e364b17997f04a6e373fda9ffd2c803957a0b67a91f3b3"
+      },
+      {
+        "case": "copy-02",
+        "options": {
+          "reasoning_effort": "xhigh"
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "c899009f64185c1cf610481f00667851c613755d9992bbea2782f63a23aeab50",
+        "token_ids_sha256": "a2c44489d2864ff48ab7c3c4ed23786132dba628a7160d29d49538eb7754232d"
+      },
+      {
+        "case": "copy-03",
+        "options": {},
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "7546d15c056af8aa4c0c90d23aabb5b1ca726609ba850c3b1b6185a613837c92",
+        "token_ids_sha256": "ddbc030acb515ce5e2d03db0a169b6f68905c4827af8a329fed19bec400f985f"
+      },
+      {
+        "case": "copy-03",
+        "options": {
+          "enable_thinking": false
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "941b6b40fb0afa04dcb3cbeb3d703e1362bfab8aff0c223fe723ad68fb0f1c8c",
+        "token_ids_sha256": "1ae80f7895f4296112ee802500c9650fbba344adbd43ea18f6ec38ee5fc1c5ab"
+      },
+      {
+        "case": "copy-03",
+        "options": {
+          "reasoning_effort": "low"
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "fff8cb95ccca437354811f847c4803f4db097acb3e25741571dc0bc3125275d9",
+        "token_ids_sha256": "e2d2fbfdef377e1dc40cc011dd75adf8484f8ad6f2769241207f1070e4b4101f"
+      },
+      {
+        "case": "copy-03",
+        "options": {
+          "reasoning_effort": "medium"
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "b5b000a062e3a761951c5b319766cec522bfb6d922409fcabfc3d0ddb1a4359d",
+        "token_ids_sha256": "262b04aaeff8bf09922edc2a45504750fd9fc9c3f3055b403a9f68b871c6d1c9"
+      },
+      {
+        "case": "copy-03",
+        "options": {
+          "reasoning_effort": "xhigh"
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "7546d15c056af8aa4c0c90d23aabb5b1ca726609ba850c3b1b6185a613837c92",
+        "token_ids_sha256": "ddbc030acb515ce5e2d03db0a169b6f68905c4827af8a329fed19bec400f985f"
+      },
+      {
+        "case": "copy-04",
+        "options": {},
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "93cd159f2fb657d1616693847e4f5c43af88edb03234c0b2dcc0181ff408b6ed",
+        "token_ids_sha256": "9cca472a04965a233f1a5e45043c6f112b9ee441dd9b26aa23de8b4ca61a626c"
+      },
+      {
+        "case": "copy-04",
+        "options": {
+          "enable_thinking": false
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "0d7641637466c7079c2bc3e9e79a92397c06d7622bb8472c475f0fe452654c83",
+        "token_ids_sha256": "f283875df94548c1657a5550db42828ce955ec3b20fa148e646bbf042f6f0d2b"
+      },
+      {
+        "case": "copy-04",
+        "options": {
+          "reasoning_effort": "low"
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "05353d7dc1f61ff121bf6598e0936277bd9ca84fbc19fd91e286d6e4b45bc059",
+        "token_ids_sha256": "2f715ed2fb5ec71a98be5bd3ed990a1e70d0678f168da4306a5f27dddc0b6856"
+      },
+      {
+        "case": "copy-04",
+        "options": {
+          "reasoning_effort": "medium"
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "f1a18e28b7392715dc638885ae8d79244fbd278f43e7c13f69fe8fb2b93da608",
+        "token_ids_sha256": "433b7e2976986230f0a2e200c658f3a7f00f0e38fe8906970aaedddc66fa59d9"
+      },
+      {
+        "case": "copy-04",
+        "options": {
+          "reasoning_effort": "xhigh"
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "93cd159f2fb657d1616693847e4f5c43af88edb03234c0b2dcc0181ff408b6ed",
+        "token_ids_sha256": "9cca472a04965a233f1a5e45043c6f112b9ee441dd9b26aa23de8b4ca61a626c"
+      },
+      {
+        "case": "copy-05",
+        "options": {},
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "fb61ba28f75ad7405020c6d3241f3728b010b8633fdc1642e129b81523e87ad3",
+        "token_ids_sha256": "c0337ac4d3e6f3afd6fb5313d1ae35c3fba5fdc1d3b32c615ea1a9d469b23426"
+      },
+      {
+        "case": "copy-05",
+        "options": {
+          "enable_thinking": false
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "a6bf42558b20071884725645d2ff092639c819386f92af80f95cf87951eceb25",
+        "token_ids_sha256": "c1f030f36157b04cdd7a5599f05578720ef484f3300982179014968be81ea065"
+      },
+      {
+        "case": "copy-05",
+        "options": {
+          "reasoning_effort": "low"
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "ef76dafe530370c7baa9a57c590899bfd62f6814b9c6c36735e28002e382a072",
+        "token_ids_sha256": "587c1d346c730fdf014d7e27e58f57344dc0d1e2c3a95a80dce943a16b5d21a6"
+      },
+      {
+        "case": "copy-05",
+        "options": {
+          "reasoning_effort": "medium"
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "96eaf3b174a72fcabbd9115c37f1a8c180a2ed19340a0cab757c80887a7b06dd",
+        "token_ids_sha256": "99598ba689281150a6a056699b14f24b499fc7c0a882ef22e4b2a2a682ff0057"
+      },
+      {
+        "case": "copy-05",
+        "options": {
+          "reasoning_effort": "xhigh"
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "fb61ba28f75ad7405020c6d3241f3728b010b8633fdc1642e129b81523e87ad3",
+        "token_ids_sha256": "c0337ac4d3e6f3afd6fb5313d1ae35c3fba5fdc1d3b32c615ea1a9d469b23426"
+      },
+      {
+        "case": "arithmetic-01",
+        "options": {},
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "2a3e217d73ae1cdf4118b870a9ec322dc88de707843c83f0f5481f813faa99a4",
+        "token_ids_sha256": "56a79c0ee7bb6e52c284a19a16146c231142c47b22bfd0a27dac2330822afb49"
+      },
+      {
+        "case": "arithmetic-01",
+        "options": {
+          "enable_thinking": false
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "ee9178c74035beb407c016586ef958578e5be4041b572aa2bf5409dcddf07739",
+        "token_ids_sha256": "b520feeac9ab433d35a057c9dc8e2a169254fa0db38e76955d042a2f91c774a7"
+      },
+      {
+        "case": "arithmetic-01",
+        "options": {
+          "reasoning_effort": "low"
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "3c43b55f9ffffff2dcf76e9b6ae04a1311b330b2c0757ed1fe664cd64c469506",
+        "token_ids_sha256": "3b9b091b00ae6093fb726ab7fa7c5e5bdaf6aa87238eb14291bf52a439e178cb"
+      },
+      {
+        "case": "arithmetic-01",
+        "options": {
+          "reasoning_effort": "medium"
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "39e3c8c4b7c6b8352df4c942933b289007e0e9ac3c7d3dfa172203f0891ad801",
+        "token_ids_sha256": "17ca2fe9b641d0b785ef902f06a0fb4463f8b144e85903dcd0dbf7dea82f54be"
+      },
+      {
+        "case": "arithmetic-01",
+        "options": {
+          "reasoning_effort": "xhigh"
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "2a3e217d73ae1cdf4118b870a9ec322dc88de707843c83f0f5481f813faa99a4",
+        "token_ids_sha256": "56a79c0ee7bb6e52c284a19a16146c231142c47b22bfd0a27dac2330822afb49"
+      },
+      {
+        "case": "arithmetic-02",
+        "options": {},
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "1580424514af0e654467483640add4ab4c970be8278db0a7dc51a6634160fafe",
+        "token_ids_sha256": "bc696d41dda4cfadb0539d3e6b16bba3012ff8adfd9eeba7f192b3fb020bd1ba"
+      },
+      {
+        "case": "arithmetic-02",
+        "options": {
+          "enable_thinking": false
+        },
+        "rendered_equal": true,
+        "tokens_equal": true,
+        "rendered_sha256": "ed261285116d3895ef5f2209e9cdc6c9abd475a551b8ec212ba201303c02de65",
+        "token_ids_sha256": "6440d6812569b88a93b4fb5877d6a13138a10c627b39cd54adee08ddefe19eec"
+      },
+      {
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+      },
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+      },
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+        "options": {
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+        "token_ids_sha256": "d1006418b971215d68426eca0929c46e7e55c66c36e5bfb8f1b125297ee415ad"
+      }
+    ],
+    "special_token_ids": {
+      "bos_token_id": {
+        "reference": null,
+        "candidate": null
+      },
+      "eos_token_id": {
+        "reference": 248046,
+        "candidate": 248046
+      },
+      "pad_token_id": {
+        "reference": 248044,
+        "candidate": 248044
+      },
+      "unk_token_id": {
+        "reference": null,
+        "candidate": null
+      }
+    },
+    "reference_commit": "5ad04445d2686f525e9fbe5c077e6fa0c7df4200",
+    "scope": "Actual tokenizer/template comparison only, no model generation"
+  },
+  "full_generation": "NOT_RUN",
+  "weight_value_equivalence_to_source": "NOT_RUN",
+  "model_quality": "NOT_RUN",
+  "script_sha256": "59470d94d54adef20c6413a9fbabdb0c19cdc6cbe225dfd760507cb28a6e906f"
+}

config.json

@@ -0,0 +1,138 @@
+{
+  "architectures": [
+    "Qwen3_5ForConditionalGeneration"
+  ],
+  "eos_token_id": [
+    248046,
+    248044
+  ],
+  "image_token_id": 248056,
+  "language_model_only": true,
+  "model_type": "qwen3_5",
+  "quantization": {
+    "bits": 3,
+    "group_size": 64,
+    "mode": "affine"
+  },
+  "quantization_config": {
+    "bits": 3,
+    "group_size": 64,
+    "mode": "affine"
+  },
+  "text_config": {
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "attn_output_gate": true,
+    "bos_token_id": 248044,
+    "dtype": "bfloat16",
+    "eos_token_id": 248044,
+    "full_attention_interval": 4,
+    "head_dim": 256,
+    "hidden_act": "silu",
+    "hidden_size": 5120,
+    "initializer_range": 0.02,
+    "intermediate_size": 17408,
+    "layer_types": [
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention"
+    ],
+    "linear_conv_kernel_dim": 4,
+    "linear_key_head_dim": 128,
+    "linear_num_key_heads": 16,
+    "linear_num_value_heads": 48,
+    "linear_value_head_dim": 128,
+    "mamba_ssm_dtype": "float32",
+    "max_position_embeddings": 262144,
+    "model_type": "qwen3_5_text",
+    "mtp_num_hidden_layers": 1,
+    "mtp_use_dedicated_embeddings": false,
+    "num_attention_heads": 24,
+    "num_hidden_layers": 64,
+    "num_key_value_heads": 4,
+    "output_gate_type": "swish",
+    "pad_token_id": null,
+    "partial_rotary_factor": 0.25,
+    "rms_norm_eps": 1e-06,
+    "rope_parameters": {
+      "mrope_interleaved": true,
+      "mrope_section": [
+        11,
+        11,
+        10
+      ],
+      "partial_rotary_factor": 0.25,
+      "rope_theta": 10000000,
+      "type": "default"
+    },
+    "tie_word_embeddings": false,
+    "use_cache": true,
+    "vocab_size": 248320
+  },
+  "tie_word_embeddings": false,
+  "transformers_version": "5.8.0.dev0",
+  "video_token_id": 248057,
+  "vision_end_token_id": 248054,
+  "vision_start_token_id": 248053
+}

generation_config.json

@@ -0,0 +1,12 @@
+{
+    "bos_token_id": 248044,
+    "do_sample": true,
+    "eos_token_id": [
+        248046,
+        248044
+    ],
+    "pad_token_id": 248044,
+    "temperature": 1.0,
+    "top_k": 20,
+    "top_p": 0.95
+}

model-00001-of-00003.safetensors

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+oid sha256:c25d854fbadb5c1546037e460143d8210c47d2c35069274f70fe8985899ac764
+size 5348273323

model-00002-of-00003.safetensors

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+oid sha256:5ee45939124c133dccfb73cd99027db34b03f1adbba9f35bcd2680729472b14a
+size 5368521504

model-00003-of-00003.safetensors

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+oid sha256:db78dce8b21d34e9f2a329080851593d862730549ed1f0cb41615737339c2554
+size 1054579630

swift-1.5-planet-demo.mp4

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+oid sha256:1cda6924169e8b83e5d6d7299baf8329ed1b1a182a481aa0e06344e0f5c00111
+size 4738825

tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
+size 19989325

tokenizer_config.json

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+{
+  "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+",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "tool_parser_type": "qwen3_coder",
+  "unk_token": null,
+  "video_token": "<|video_pad|>",
+  "vision_bos_token": "<|vision_start|>",
+  "vision_eos_token": "<|vision_end|>"
+}

verify_release.py

@@ -0,0 +1,152 @@
+"""Offline, bounded-memory file/index integrity check. Does not execute model code."""
+import argparse
+import hashlib
+import json
+import math
+from pathlib import Path, PurePosixPath
+import re
+import struct
+
+
+def unique(pairs):
+    result = {}
+    for key, value in pairs:
+        if key in result:
+            raise ValueError('duplicate JSON key')
+        result[key] = value
+    return result
+
+
+def read_json(path):
+    return json.loads(path.read_text(encoding='utf-8'), object_pairs_hook=unique)
+
+
+def safe_path(root, name):
+    if not isinstance(name, str) or not name or '\\' in name:
+        raise ValueError('unsafe file path')
+    p = PurePosixPath(name)
+    if p.is_absolute() or '..' in p.parts or str(p) != name:
+        raise ValueError('unsafe file path')
+    target = root.joinpath(*p.parts)
+    if any(parent.is_symlink() for parent in (target, *target.parents) if parent != root.parent):
+        raise ValueError('symlink path not allowed')
+    target.resolve().relative_to(root.resolve())
+    return target
+
+
+def file_hashes(path):
+    size = path.stat().st_size
+    sha = hashlib.sha256()
+    blob = hashlib.sha1(f'blob {size}\0'.encode())
+    with path.open('rb') as stream:
+        for chunk in iter(lambda: stream.read(8 * 1024**2), b''):
+            sha.update(chunk)
+            blob.update(chunk)
+    return size, sha.hexdigest(), blob.hexdigest()
+
+
+def tensor_header(path):
+    size = path.stat().st_size
+    with path.open('rb') as stream:
+        prefix = stream.read(8)
+        if len(prefix) != 8:
+            raise ValueError('short safetensors prefix')
+        n = struct.unpack('<Q', prefix)[0]
+        if n > 16 * 1024**2 or 8+n > size:
+            raise ValueError('invalid header boundary')
+        header = json.loads(stream.read(n), object_pairs_hook=unique)
+    widths = {'BF16': 2, 'F16': 2, 'F32': 4, 'F64': 8, 'U32': 4, 'I32': 4,
+              'U8': 1, 'I8': 1, 'U16': 2, 'I16': 2, 'U64': 8, 'I64': 8, 'BOOL': 1}
+    spans, names = [], set()
+    for name, value in header.items():
+        if name == '__metadata__':
+            continue
+        shape = value['shape']
+        if not isinstance(shape, list) or any(type(x) is not int or x < 0 for x in shape):
+            raise ValueError('invalid tensor shape')
+        start, end = value['data_offsets']
+        if type(start) is not int or type(end) is not int or not 0 <= start <= end <= size-8-n:
+            raise ValueError('invalid tensor payload boundary')
+        if end-start != math.prod(shape)*widths[value['dtype']]:
+            raise ValueError('dtype/shape byte count mismatch')
+        spans.append((start, end))
+        names.add(name)
+    cursor = 0
+    for start, end in sorted(spans):
+        if start != cursor:
+            raise ValueError('payload gap or overlap')
+        cursor = end
+    if cursor != size-8-n:
+        raise ValueError('unreferenced or truncated payload')
+    return names
+
+
+def verify(root, expected_manifest_sha256=None):
+    root = Path(root).absolute()
+    errors, checked = [], []
+    try:
+        manifest_path = safe_path(root, 'UPLOAD_MANIFEST.json')
+        _, manifest_sha, _ = file_hashes(manifest_path)
+        if expected_manifest_sha256 and expected_manifest_sha256 != manifest_sha:
+            raise ValueError('trusted manifest hash mismatch')
+        manifest = read_json(manifest_path)
+        entries = manifest['files']
+        names = [e['path'] for e in entries]
+        if len(names) != len(set(names)):
+            raise ValueError('duplicate manifest file')
+        if any(type(e['bytes']) is not int or e['bytes'] < 0 for e in entries):
+            raise ValueError('invalid manifest size')
+        if len(entries) != manifest['file_count'] or sum(e['bytes'] for e in entries) != manifest['total_bytes']:
+            raise ValueError('manifest aggregates mismatch')
+        for e in entries:
+            if e['path'] == 'UPLOAD_MANIFEST.json' or not re.fullmatch('[a-f0-9]{64}', e['sha256']):
+                raise ValueError('invalid manifest entry')
+            p = safe_path(root, e['path'])
+            if not p.is_file():
+                errors.append({'file': e['path'], 'reason': 'missing file'})
+                continue
+            size, sha, blob = file_hashes(p)
+            if size != e['bytes'] or sha != e['sha256'] or (e.get('git_blob_sha1') and blob != e['git_blob_sha1']):
+                errors.append({'file': e['path'], 'reason': 'size or full-file hash mismatch'})
+                continue
+            if p.suffix == '.json':
+                read_json(p)
+            checked.append(e['path'])
+        index_name = 'model.safetensors.index.json'
+        if index_name not in names:
+            errors.append({'file': index_name, 'reason': 'required index not in manifest'})
+        elif index_name in checked:
+            index = read_json(root/index_name)['weight_map']
+            if not isinstance(index, dict) or not index:
+                raise ValueError('invalid weight map')
+            shards = set(index.values())
+            expected_shards = {n for n in names if n.endswith('.safetensors')}
+            if shards != expected_shards:
+                errors.append({'reason': 'index/manifest shard set mismatch'})
+            actual = {}
+            for shard in sorted(shards):
+                safe_path(root, shard)
+                if shard not in checked:
+                    errors.append({'file': shard, 'reason': 'referenced shard missing or not hash-verified'})
+                    continue
+                for tensor in tensor_header(root/shard):
+                    if tensor in actual:
+                        raise ValueError('duplicate tensor across shards')
+                    actual[tensor] = shard
+            if actual != index:
+                errors.append({'reason': 'actual tensor inventory differs from weight map'})
+    except (OSError, ValueError, TypeError, KeyError, AttributeError) as exc:
+        errors.append({'reason': 'invalid or incomplete package', 'exception_type': type(exc).__name__})
+    return {'status': 'FAIL' if errors else 'PASS', 'errors': errors,
+            'fully_hashed_files': len(checked), 'manifest_pinned': bool(expected_manifest_sha256),
+            'scope': 'File integrity and tensor index only; not generation, finite-value or quality validation'}
+
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument('snapshot', type=Path)
+    parser.add_argument('--manifest-sha256')
+    args = parser.parse_args()
+    result = verify(args.snapshot, args.manifest_sha256)
+    print(json.dumps(result, indent=2))
+    raise SystemExit(0 if result['status'] == 'PASS' else 1)