QEV SDK 0.2.1: packaged playground and typed decisions

Audited English release with exact runtime/weight provenance, source-specific data licenses and published limitations.

.gitattributes

@@ -35,3 +35,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 release-comparison/accuracy.png filter=lfs diff=lfs merge=lfs -text
 runtime/qev-0.2.0-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text
+runtime/qev-0.2.1-py3-none-any.whl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -4,9 +4,9 @@ base_model: Qwen/Qwen3.5-2B
 base_model_relation: adapter
 library_name: pytorch
 language:
-- en
-- ko
+- multilingual
 tags:
+- multilingual
 - multimodal
 - dynamic-classification
 - qwen3_5
@@ -24,6 +24,8 @@ inference: false
 
 # QEV
 
+[![Multilingual](https://img.shields.io/badge/languages-Multilingual-2563eb)](#language-support)
+
 **Your evidence. Your criteria. A decision with probabilities.**
 
 QEV is an open multimodal decision model inspired by
@@ -35,12 +37,19 @@ Receive probabilities and a structured answer in one batched backbone forward.
 
 [Training data](https://huggingface.co/datasets/ken-jo/qev-data)
 
+## Language support
+
+**Multilingual inputs** use Qwen3.5-2B's multilingual text backbone. The interface and
+documentation are in English. QEV's published task and calibration evaluations are
+English-focused; equivalent accuracy across languages has not been established.
+
 ## At a glance
 
 | | QEV 0.1.1 |
 | --- | --- |
 | Evidence | Text, one photo, or text and a photo together |
 | Decision types | `choice`, ordered `score`, and true/false `noul` |
+| Languages | Multilingual inputs; reported evaluations focus on English |
 | Request limits | 1-4 questions; 2-16 choice/score candidates; 2,048 processed tokens |
 | Inference | One batched backbone forward; zero generated answer tokens |
 | Base model | Qwen3.5-2B, with its vision encoder frozen |
@@ -48,7 +57,7 @@ Receive probabilities and a structured answer in one batched backbone forward.
 | Precision | BF16 backbone and FP32 readouts on CUDA |
 | License | Apache-2.0 for code and adaptation; source-specific dataset licenses |
 
-Model version **0.1.1**, final Qwen-based research snapshot; Python SDK **0.2.0**. Previously developed as Veyra
+Model version **0.1.1**, final Qwen-based research snapshot; Python SDK **0.2.1**. Previously developed as Veyra
 Workflow Recovery v13. This release changes the public identity and packaging, not the
 learned weights, candidate encoding, calibration or inference mathematics.
 QEV is independently maintained. Its design draws on LAYA's typed decision interface;
@@ -101,7 +110,7 @@ Use Python 3.12 and the custom QEV runtime from the
 adaptation and decision heads; its Qwen backbone is downloaded separately.
 
 ```sh
-python -m pip install https://huggingface.co/ken-jo/qev/resolve/main/runtime/qev-0.2.0-py3-none-any.whl
+python -m pip install https://huggingface.co/ken-jo/qev/resolve/main/runtime/qev-0.2.1-py3-none-any.whl
 qev playground
 ```
 

checksums.json

@@ -7,7 +7,7 @@
   "docs/COMPACT_MODEL.md": "9b6f56cf01d8194ffac0f040ba51f71cb89c889e2722d453b8f6418dd5896760",
   "docs/LAYA_COMPARISON.md": "801fd57c856ac682492ff9927a086f7b0c3854d6ed551407f4edc7352d3c1bdd",
   "docs/MODEL_SIZE.md": "d0b4d6fdea9e8502d90a7ea88f040f9d9f9ae5806aca4080f0aa7a7d6f071f54",
-  "docs/PLAYGROUND.md": "29cdc818cc69587fbc71bd788c9921e97ac107fd865e19cee10f080555fad23e",
+  "docs/PLAYGROUND.md": "68ecd6b468f47c2dd5d51be6b46444229c0ee2843d86d0592320fbd43aae805d",
   "evidence/checkpoints/veyra-backbone-recovery-v13/head.safetensors": "84b57aeeb987f73416ac0f796150957d1c5beb1ed373733053e46438f77a8fee",
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@@ -188,8 +188,8 @@
   "load_qev.py": "d220abbcd88a47ebd74b5309e9135394149379b2d8026bacf49cca71fda56de7",
   "manifest.json": "d83f9910196c6e801658ca3816c3d2bd4a849ba3da6ff059a0edf7c6028e898d",
   "NOTICE": "4ed44977e49e772fc8d3e971f417fe14a7490d418d07c759e2cba0dfc52ed544",
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-  "README.md": "49312ed1a0fb147f7327c00618165f1c6a5803f78734d049430bd48e2b6273a5",
+  "publication.json": "b1452a1e57cbc6cdfcc6a7095552cb6c6f25b734eb1e96e442c260218bca60c9",
+  "README.md": "97ca455a2014bde4aefe8380cb65a9f690ad09f2dbd91c25580f988ab443037f",
   "release-comparison/accuracy.png": "7da48ddd235642cd9e37807024abc85954d960419f3b5de52aa753f930eb9a45",
   "release-comparison/accuracy.svg": "84b4daceaecd169f8c937fda91c5589bf69f51ddc3e7f5c41d1b09de0eeee8c3",
   "release-comparison/comparison.json": "c5d3be2ba8cb68872c5d53fb4fad9f7954a56f8e79a9ff7fc66ce6fcc639f3dd",
@@ -200,10 +200,11 @@
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   "release-protocol.json": "d0e6c454fc10cfa080523cfcc66706dfe73cb32524f4ce74bf87a5d4edde6776",
   "release-readiness.json": "5e2ed88d29b13229affb8487217f16e611f13201371f41d3604b0eb77f46edc8",
-  "reproducibility/pyproject.toml": "c858736cc2fdfeb972bdbbc0903e21c3f160c64904e0293562a0ee792d22cbb5",
-  "reproducibility/uv.lock": "175edb067d35d24e20fdf92227000420ab40ff1ec0911e7be5d0da058742d01d",
+  "reproducibility/pyproject.toml": "9fba89be37918ab4e5f4467f76dd21bc41958fabeb39c58fb69fe8f89530cf69",
+  "reproducibility/uv.lock": "be827c1bf1121fbd20a27df748970124f5fb4bbd941993b1b0d10fe36ee10d6d",
   "ROADMAP.md": "e75b8884c5555cba092dde0ac25bfb0448ff5964d8bae75067b8c854b1fe35a6",
   "runtime/qev-0.1.1-py3-none-any.whl": "f1f4c54175ce213e98399cc8a3db91298e25aa1450f2306195614c80c87da8a2",
   "runtime/qev-0.2.0-py3-none-any.whl": "33ca132521cf9ec7f5bc9405816cd65e9c4626853cfb21a82da7a4549ebbe576",
+  "runtime/qev-0.2.1-py3-none-any.whl": "d5270e05a748d9e965c8e2a2a7e54fae83abad6c4da4e76127d7c503a2543c81",
   "sample_request.json": "db4c34b18ec8b1d0bcd2af48fd2b8be5636b67d2194d26492fc2f647f52b7cb1"
 }

docs/PLAYGROUND.md

@@ -8,14 +8,14 @@ license notices and the SDK. You do not need to clone the repository to use the
 Python 3.12 is required. The public runtime wheel is available with the model:
 
 ```sh
-python -m pip install https://huggingface.co/ken-jo/qev/resolve/main/runtime/qev-0.2.0-py3-none-any.whl
+python -m pip install https://huggingface.co/ken-jo/qev/resolve/main/runtime/qev-0.2.1-py3-none-any.whl
 qev playground
 ```
 
 Or use uv's isolated tool environment:
 
 ```sh
-uvx --python 3.12 --from https://huggingface.co/ken-jo/qev/resolve/main/runtime/qev-0.2.0-py3-none-any.whl qev playground
+uvx --python 3.12 --from https://huggingface.co/ken-jo/qev/resolve/main/runtime/qev-0.2.1-py3-none-any.whl qev playground
 ```
 
 From a source checkout:
@@ -81,10 +81,15 @@ approximately ten minutes and are swept every five minutes. Analytics is disable
 Sample photographs overlap development data and are examples, not independent benchmarks.
 The packaged implementation and asset notices live in `src/qev/playground/`.
 
-## Earlier interfaces
+## Windows launcher and earlier experiments
 
-`apps/hf_space/app.py` is a compatibility launcher for the packaged English UI. The
-historical Korean interface and 2048 experiment remain in `apps/playground/` and are
-available from the source checkout. See [its instructions](../apps/playground/README.md).
+`apps/hf_space/app.py` and `apps/playground/start.ps1` launch the same packaged English
+interface. The Windows helper uses port 8765 by default for existing local bookmarks;
+`qev playground` uses port 7860 by default. Both accept an explicit port.
 
-[GitHub: ken-jo/qev](https://github.com/ken-jo/qev)
+The earlier Korean server is retained for experimental API reproducibility. It is not
+the supported playground. The 2048 game has been removed from the playground; its
+recorded evaluation results remain in the research reports. See the
+[Windows launcher instructions](../apps/playground/README.md).
+
+[GitHub: ken-jo/qev](https://github.com/ken-jo/qev)

publication.json

@@ -1,16 +1,16 @@
 {
   "project": "qev",
-  "version": "0.2.0",
+  "version": "0.2.1",
   "model_version": "0.1.1",
-  "runtime_wheel_file": "runtime/qev-0.2.0-py3-none-any.whl",
+  "runtime_wheel_file": "runtime/qev-0.2.1-py3-none-any.whl",
   "source_repository": "https://github.com/ken-jo/qev",
   "backbone": "Qwen/Qwen3.5-2B",
   "base_revision": "15852e8c16360a2fea060d615a32b45270f8a8fc",
   "weights_sha256": "84b57aeeb987f73416ac0f796150957d1c5beb1ed373733053e46438f77a8fee",
   "manifest_sha256": "d83f9910196c6e801658ca3816c3d2bd4a849ba3da6ff059a0edf7c6028e898d",
-  "runtime_wheel_sha256": "33ca132521cf9ec7f5bc9405816cd65e9c4626853cfb21a82da7a4549ebbe576",
+  "runtime_wheel_sha256": "d5270e05a748d9e965c8e2a2a7e54fae83abad6c4da4e76127d7c503a2543c81",
   "preserved_runtime_modules": 38,
-  "original_prepared_checksums_sha256": "57a628ab1dbfa8526e8025a39ad1a922ae5c34b7535528f858b38917a4b4478d",
+  "original_prepared_checksums_sha256": "5769d4f6637e4a6a95fd09d829818d7c16f4ed01003d9c8cf0b5ceb6826cb066",
   "original_acceptance_preserved": true,
   "weights_calibration_and_runtime_inference_unchanged": true,
   "separate_publication_verification": "release/verification.json in the source repository"

reproducibility/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "qev"
-version = "0.2.0"
+version = "0.2.1"
 description = "LAYA-inspired typed decisions over text and images with Qwen3.5-2B"
 readme = "README.md"
 requires-python = ">=3.12,<3.13"

reproducibility/uv.lock

@@ -783,7 +783,7 @@ wheels = [
 
 [[package]]
 name = "qev"
-version = "0.2.0"
+version = "0.2.1"
 source = { editable = "." }
 dependencies = [
     { name = "accelerate" },

runtime/qev-0.2.1-py3-none-any.whl

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+oid sha256:d5270e05a748d9e965c8e2a2a7e54fae83abad6c4da4e76127d7c503a2543c81
+size 185847