diff --git a/README.md b/README.md
index 137806d1..aa34a39e 100644
--- a/README.md
+++ b/README.md
@@ -44,7 +44,7 @@ neural decoding model, licensed under the GNU Affero General Public License v3.0
 combined work is distributed under the
 [GNU Affero General Public License v3.0](LICENSE) — GPL-3.0 Section 13 permits the
 combination, and AGPL-3.0 Section 13 applies to the combined work as a whole.
-Model provenance, attribution and the applied int8 quantization are documented in
+Model provenance and attribution are documented in
 [`feature/cw/licenses/NOTICE.md`](feature/cw/licenses/NOTICE.md); the original GPL-3.0
 text is preserved at `feature/cw/licenses/Look4Sat-GPL-3.0.txt`. The CW model runs
 locally on-device and does not provide services over a network.
diff --git a/feature/cw/DEEPCW.md b/feature/cw/DEEPCW.md
index 9b4b3447..a597cfe2 100644
--- a/feature/cw/DEEPCW.md
+++ b/feature/cw/DEEPCW.md
@@ -40,19 +40,18 @@ CPU; timed per-window on device and reported via `lastInferenceMs`).
 
 ## Model
 
-| | fp32 (original) | int8 (shipped) |
-|---|---|---|
-| Size | 15,139,839 bytes | 4,248,808 bytes |
-| Derivation | — | `quantize_dynamic` (weights → QUInt8, activations float32) |
-| Input | `spectrogram` [1,1,T,65] float32 | unchanged |
-| Output | `log_probs` [1,T,42] float32 | unchanged |
-| In APK | no (available as a release asset) | yes (`assets/deepcw/model.onnx`) |
+| | Value |
+|---|---|
+| File | `assets/deepcw/model.onnx` (fp32, as published upstream) |
+| Size | 15,139,839 bytes |
+| Modifications | none — vendored byte-for-byte |
+| Input | `spectrogram` [1,1,T,65] float32 |
+| Output | `log_probs` [1,T,42] float32 |
 
-The int8 model ships inside the APK: it is ~4× smaller and measurably identical
-to fp32 on synthetic CW at SNR ≥ −4 dB (both degrade together below that). The
-fp32 model is published as a separate release asset for anyone who wants the
-highest-fidelity reference. Both are AGPL-3.0-only — see
-[`licenses/NOTICE.md`](licenses/NOTICE.md) for provenance, commit SHA and hashes.
+The full fp32 model ships inside the APK for maximum decode fidelity. An int8
+`quantize_dynamic` build was trialled earlier (~4× smaller, measurably identical
+at SNR ≥ −4 dB) but the shipped artifact is now the unmodified fp32 model. See
+[`licenses/NOTICE.md`](licenses/NOTICE.md) for provenance, commit SHA and hash.
 
 Audio must be packaged **uncompressed** (`noCompress += "onnx"` in the app
 module): ONNX Runtime mmap's assets and refuses compressed ones.
diff --git a/feature/cw/licenses/NOTICE.md b/feature/cw/licenses/NOTICE.md
index 50d3d166..224c0ada 100644
--- a/feature/cw/licenses/NOTICE.md
+++ b/feature/cw/licenses/NOTICE.md
@@ -14,11 +14,9 @@ network model obtained from the DeepCW project.
 | **License** | GNU Affero General Public License v3.0 only (AGPL-3.0-only) |
 | **License text** | [`DeepCW-AGPL-3.0.txt`](DeepCW-AGPL-3.0.txt) |
 | **Obtained at commit** | `8e264d243bbd4467bd19f3f28292219405b47e0e` |
-| **Original file size** | 15,139,839 bytes |
-| **Original SHA-256** | `ef120799457bca042d4690944f0faf93268eb4654e7f50f28784ad63bdc1fe02` |
-| **Derived file size** | 4,248,808 bytes |
-| **Derived SHA-256** | `cd48259be0ea8c30ecbfff4a718644f361cb27b9228b030771b0c94756dcab98` |
-| **Derivation** | Dynamic int8 quantization (weights → QUInt8, activations stay float32) via `onnxruntime.quantization.quantize_dynamic`. Input/output names, shapes and dtypes are unchanged. Measured CER on synthetic CW audio is identical to the fp32 model at SNR >= -4 dB; at -6/-8 dB both models degrade similarly. |
+| **File size** | 15,139,839 bytes |
+| **SHA-256** | `ef120799457bca042d4690944f0faf93268eb4654e7f50f28784ad63bdc1fe02` |
+| **Modifications** | None. The full fp32 model is vendored byte-for-byte as published upstream. |
 
 Related upstream repositories by the same author (not vendored here):
 
@@ -52,7 +50,6 @@ the repository hosting this file.
 ### Reproducing the vendored files
 
 ```bash
-# 1) Fetch the original fp32 model
 SHA=8e264d243bbd4467bd19f3f28292219405b47e0e
 curl -sLO https://raw.githubusercontent.com/e04/deepcw-engine/$SHA/model.onnx
 curl -sLO https://raw.githubusercontent.com/e04/deepcw-engine/$SHA/model.onnx.json
@@ -60,15 +57,7 @@ curl -sL -o DeepCW-AGPL-3.0.txt \
   https://raw.githubusercontent.com/e04/deepcw-engine/$SHA/LICENSE
 sha256sum model.onnx
 # expected: ef120799457bca042d4690944f0faf93268eb4654e7f50f28784ad63bdc1fe02
-
-# 2) Reproduce the int8 quantization this repository ships
-python - <<'PY'
-from onnxruntime.quantization import quantize_dynamic, QuantType
-quantize_dynamic("model.onnx", "model_int8.onnx", weight_type=QuantType.QUInt8)
-PY
-sha256sum model_int8.onnx
-# expected: cd48259be0ea8c30ecbfff4a718644f361cb27b9228b030771b0c94756dcab98
-# then copy model_int8.onnx over assets/deepcw/model.onnx
+# copy model.onnx and model.onnx.json into assets/deepcw/ unchanged
 ```
 
 ## ONNX Runtime
diff --git a/feature/cw/src/main/assets/deepcw/model.onnx b/feature/cw/src/main/assets/deepcw/model.onnx
index b929173f..d3b1b525 100644
Binary files a/feature/cw/src/main/assets/deepcw/model.onnx and b/feature/cw/src/main/assets/deepcw/model.onnx differ