Release Qwen3.5 Classification 0.1.0: Qwen3.5-2B typed decisions

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

NOTICE

@@ -1,8 +1,8 @@
-Vision QEV (formerly Veyra)
-Copyright 2026 Vision QEV contributors
+Qwen3.5 Classification (formerly Veyra)
+Copyright 2026 Qwen3.5 Classification contributors
 Copyright 2026 Veyra contributors
 
-Vision QEV is an independent open-source research project for dynamic typed
+Qwen3.5 Classification is an independent open-source research project for dynamic typed
 decisions over images and text.
 
 The backbone is Qwen/Qwen3.5-2B, published by the Qwen team under Apache-2.0.

README.md

@@ -13,7 +13,7 @@ tags:
 - calibrated-decisions
 - custom-runtime
 datasets:
-- ken-jo/vision-qev-data
+- ken-jo/qwen3.5-classification-data
 - LocalLLaMA/typed-decisions
 - stanfordnlp/snli
 - PolyAI/banking77
@@ -22,10 +22,10 @@ datasets:
 inference: false
 ---
 
-# Vision QEV — Qwen3.5-2B typed decisions
+# Qwen3.5 Classification — Qwen3.5-2B typed decisions
 
-[Source code](https://github.com/ken-jo/vision-qev) ·
-[Training data](https://huggingface.co/datasets/ken-jo/vision-qev-data)
+[Source code](https://github.com/ken-jo/qwen3.5-classification) ·
+[Training data](https://huggingface.co/datasets/ken-jo/qwen3.5-classification-data)
 
 Maintainer: [GitHub](https://github.com/ken-jo) ·
 [LinkedIn](https://www.linkedin.com/in/ik-chan-jo).
@@ -126,8 +126,8 @@ redistribution rights. Read the repository's data and training documentation.
 
 The package contains a calibrated manifest, adaptation weights and a custom runtime wheel.
 Qwen backbone weights must be downloaded separately at the pinned revision. Install the
-wheel from `runtime/`, run `vision-qev download`, then use `load_vision_qev.py` or the Python
-API in the [repository](https://github.com/ken-jo/vision-qev). A standard Transformers
+wheel from `runtime/`, run `qwen3.5-classification download`, then use `load_qwen3_5_classification.py` or the Python
+API in the [repository](https://github.com/ken-jo/qwen3.5-classification). A standard Transformers
 auto-model loader cannot directly load this custom adapter/head layout.
 
 Historical stage flags in the unchanged manifest record when those stages were run.

ROADMAP.md

@@ -1,6 +1,6 @@
 # Research roadmap
 
-## Closed Qwen-based line: Vision QEV 0.1.0
+## Closed Qwen-based line: Qwen3.5 Classification 0.1.0
 
 Freeze the evaluated Qwen3.5-2B adaptation, publish the custom runtime, licensed dataset
 snapshots, exact evidence and known failures. Future bug fixes must preserve or explicitly
@@ -16,7 +16,7 @@ decision network. Its name and results will be separate from this checkpoint.
 2. Prototype image tokens retaining spatial coordinates, text/criterion encoders, candidate-
    conditioned evidence attention and one shared candidate scorer. Include typed ordinal and
    binary outputs; test candidate permutation and paraphrase invariance.
-3. Compare against the frozen Vision QEV baseline at equal data and hardware budgets. Use Qwen
+3. Compare against the frozen Qwen3.5 Classification baseline at equal data and hardware budgets. Use Qwen
    representations or teachers only where a measured benefit justifies them; backbone choice
    is open. Separate perception, evidence binding, decision logic and probability errors.
 4. Study supervised proper scoring, distillation and RL only after perception works. Select

checksums.json

@@ -174,16 +174,16 @@
   "evidence/src/veyra/workflow_release_gate.py": "15f35e7da02e68f4e1b4c82a3974ea95ea53603b9a49e09727d1151f8a71ad5d",
   "head.safetensors": "84b57aeeb987f73416ac0f796150957d1c5beb1ed373733053e46438f77a8fee",
   "LICENSE": "c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4",
-  "load_vision_qev.py": "a82db0bbd6a88775e29bc1ff17370c7d2c224f9a93185bcad364c5378c70561f",
+  "load_qwen3_5_classification.py": "b44e8510bc64a6db4bd4def3ff6c794c827ff5462e54d24251f99216b89c2c05",
   "manifest.json": "d83f9910196c6e801658ca3816c3d2bd4a849ba3da6ff059a0edf7c6028e898d",
-  "NOTICE": "f2e0bb2c6883f7fa2ce8fc7c53ab681a6692020c1be5c90965df8cab29872222",
-  "publication.json": "c6dab52d57b0ca997d4762793ae28ad1fc1a790748351b00f4dc706bfe842aa6",
-  "README.md": "0daea4d5c89ca29762339f355578673d506af0ef0154877b74a874a3840cb794",
+  "NOTICE": "b4a542b54fb016fce38a8a187c5cbad6acb9fb9ea0b46b77f3e5ad367dd280fb",
+  "publication.json": "d29b6c9ec0705afdd9a49419068ab4bfd0da00c65d20a71ebc0d7467c66744d8",
+  "README.md": "a8278677faf83335f88d475335d2f028c6c244f9f1b8cdb67df7f80c75de9ca5",
   "release-protocol.json": "d0e6c454fc10cfa080523cfcc66706dfe73cb32524f4ce74bf87a5d4edde6776",
   "release-readiness.json": "5e2ed88d29b13229affb8487217f16e611f13201371f41d3604b0eb77f46edc8",
-  "reproducibility/pyproject.toml": "4a49b0658d43f21f88e59e473e485a3eb6085d96b1e63aa3819abc8ad31ac9e5",
-  "reproducibility/uv.lock": "51009150e64516fe34a991174d03f17b76c60c941f89c8866605cd9d1849b1c8",
-  "ROADMAP.md": "106f50d84ef78d2c771942c7edee3f9bac28a53825f6d34f5cf6f4dca9744668",
-  "runtime/vision_qev-0.1.0-py3-none-any.whl": "e3ae5a591e055b4ff88d42bb44365f6e5ab71859fc60029ab365bddc22650c5f",
+  "reproducibility/pyproject.toml": "388e63bd6105c6970b92b4683feb2b6620040227ef6e8092b676b6347f2dd9d8",
+  "reproducibility/uv.lock": "3871b05f61254f3d4b88450ca05d08606e69bcc24ca5f352b57d917562ec72d7",
+  "ROADMAP.md": "eaa2297fb876ff82bde730218bfe0254d10c9f0ac26d360d6f4144fe06f7367e",
+  "runtime/qwen3_5_classification-0.1.0-py3-none-any.whl": "d5ea3840d8618563e78bbb88fa6dde27369bd203b41dd4c6c3b22b8f4021a6f8",
   "sample_request.json": "db4c34b18ec8b1d0bcd2af48fd2b8be5636b67d2194d26492fc2f647f52b7cb1"
 }

load_vision_qev.py → load_qwen3_5_classification.py

@@ -2,10 +2,10 @@
 import json
 from pathlib import Path
 import torch
-from vision_qev import VisionQEV, DecisionRequest
+from qwen3_5_classification import QwenClassification, DecisionRequest
 
 root = Path(__file__).resolve().parent
 torch.set_num_threads(4)
-model = VisionQEV.load(root, local_files_only=True, merge=True)
+model = QwenClassification.load(root, local_files_only=True, merge=True)
 request = DecisionRequest.from_json((root / "sample_request.json").read_text("utf-8"))
 print(json.dumps(model.predict(request, root), indent=2))

publication.json

@@ -1,12 +1,12 @@
 {
-  "project": "vision-qev",
+  "project": "qwen3.5-classification",
   "version": "0.1.0",
-  "source_repository": "https://github.com/ken-jo/vision-qev",
+  "source_repository": "https://github.com/ken-jo/qwen3.5-classification",
   "backbone": "Qwen/Qwen3.5-2B",
   "base_revision": "15852e8c16360a2fea060d615a32b45270f8a8fc",
   "weights_sha256": "84b57aeeb987f73416ac0f796150957d1c5beb1ed373733053e46438f77a8fee",
   "manifest_sha256": "d83f9910196c6e801658ca3816c3d2bd4a849ba3da6ff059a0edf7c6028e898d",
-  "runtime_wheel_sha256": "e3ae5a591e055b4ff88d42bb44365f6e5ab71859fc60029ab365bddc22650c5f",
+  "runtime_wheel_sha256": "d5ea3840d8618563e78bbb88fa6dde27369bd203b41dd4c6c3b22b8f4021a6f8",
   "preserved_runtime_modules": 38,
   "original_prepared_checksums_sha256": "9fe5b289c5a6e1673779961752e2a8c87d093e4e14f9d936b8876a55df3e902d",
   "original_acceptance_preserved": true,

reproducibility/pyproject.toml

@@ -3,7 +3,7 @@ requires = ["hatchling>=1.27"]
 build-backend = "hatchling.build"
 
 [project]
-name = "vision-qev"
+name = "qwen3.5-classification"
 version = "0.1.0"
 description = "Dynamic typed decisions over images and text with Qwen3.5-2B"
 readme = "README.md"
@@ -23,14 +23,14 @@ dependencies = [
 ]
 
 [project.scripts]
-vision-qev = "vision_qev.cli:main"
+"qwen3.5-classification" = "qwen3_5_classification.cli:main"
 veyra = "veyra.cli:main"
 
 [dependency-groups]
 dev = ["pytest==9.1.1", "httpx>=0.28,<1", "ruff>=0.15,<1"]
 
 [tool.hatch.build.targets.wheel]
-packages = ["src/veyra", "src/vision_qev"]
+packages = ["src/veyra", "src/qwen3_5_classification"]
 
 [[tool.uv.index]]
 name = "pytorch-cu128"

reproducibility/uv.lock

@@ -600,6 +600,51 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/1a/08/67bd04656199bbb51dbed1439b7f27601dfb576fb864099c7ef0c3e55531/pyyaml-6.0.3-cp312-cp312-win_arm64.whl", hash = "sha256:64386e5e707d03a7e172c0701abfb7e10f0fb753ee1d773128192742712a98fd", size = 140344, upload-time = "2025-09-25T21:32:22.617Z" },
 ]
 
+[[package]]
+name = "qwen3-5-classification"
+version = "0.1.0"
+source = { editable = "." }
+dependencies = [
+    { name = "accelerate" },
+    { name = "fastapi" },
+    { name = "numpy" },
+    { name = "pillow" },
+    { name = "pydantic" },
+    { name = "safetensors" },
+    { name = "torch" },
+    { name = "torchvision" },
+    { name = "transformers" },
+    { name = "uvicorn" },
+]
+
+[package.dev-dependencies]
+dev = [
+    { name = "httpx" },
+    { name = "pytest" },
+    { name = "ruff" },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "accelerate", specifier = "==1.15.0" },
+    { name = "fastapi", specifier = "==0.141.1" },
+    { name = "numpy", specifier = "==2.5.3" },
+    { name = "pillow", specifier = "==12.3.0" },
+    { name = "pydantic", specifier = "==2.13.5" },
+    { name = "safetensors", specifier = "==0.8.0" },
+    { name = "torch", specifier = "==2.10.0", index = "https://download.pytorch.org/whl/cu128" },
+    { name = "torchvision", specifier = "==0.25.0", index = "https://download.pytorch.org/whl/cu128" },
+    { name = "transformers", specifier = "==5.17.0" },
+    { name = "uvicorn", specifier = "==0.54.0" },
+]
+
+[package.metadata.requires-dev]
+dev = [
+    { name = "httpx", specifier = ">=0.28,<1" },
+    { name = "pytest", specifier = "==9.1.1" },
+    { name = "ruff", specifier = ">=0.15,<1" },
+]
+
 [[package]]
 name = "regex"
 version = "2026.9.29"
@@ -896,48 +941,3 @@ sdist = { url = "https://files.pythonhosted.org/packages/da/34/30e9280707135d2cf
 wheels = [
     { url = "https://files.pythonhosted.org/packages/38/0c/b54a4fdd7f90a3af8b02ebc9ce6712c2c208b7926a2f7bad95c33ebbe943/uvicorn-0.54.0-py3-none-any.whl", hash = "sha256:505bdb0f318731d45f1f712071fc781a8981f6847a31c902c9f5e652d4f67faf", size = 87427, upload-time = "2026-09-25T06:52:35.829Z" },
 ]
-
-[[package]]
-name = "vision-qev"
-version = "0.1.0"
-source = { editable = "." }
-dependencies = [
-    { name = "accelerate" },
-    { name = "fastapi" },
-    { name = "numpy" },
-    { name = "pillow" },
-    { name = "pydantic" },
-    { name = "safetensors" },
-    { name = "torch" },
-    { name = "torchvision" },
-    { name = "transformers" },
-    { name = "uvicorn" },
-]
-
-[package.dev-dependencies]
-dev = [
-    { name = "httpx" },
-    { name = "pytest" },
-    { name = "ruff" },
-]
-
-[package.metadata]
-requires-dist = [
-    { name = "accelerate", specifier = "==1.15.0" },
-    { name = "fastapi", specifier = "==0.141.1" },
-    { name = "numpy", specifier = "==2.5.3" },
-    { name = "pillow", specifier = "==12.3.0" },
-    { name = "pydantic", specifier = "==2.13.5" },
-    { name = "safetensors", specifier = "==0.8.0" },
-    { name = "torch", specifier = "==2.10.0", index = "https://download.pytorch.org/whl/cu128" },
-    { name = "torchvision", specifier = "==0.25.0", index = "https://download.pytorch.org/whl/cu128" },
-    { name = "transformers", specifier = "==5.17.0" },
-    { name = "uvicorn", specifier = "==0.54.0" },
-]
-
-[package.metadata.requires-dev]
-dev = [
-    { name = "httpx", specifier = ">=0.28,<1" },
-    { name = "pytest", specifier = "==9.1.1" },
-    { name = "ruff", specifier = ">=0.15,<1" },
-]