From 2accd43cfe6374d4216ec91cb243d37f5fd4848b Mon Sep 17 00:00:00 2001
From: Joey Grasty <wjgrasty@verizon.net>
Date: Sun, 30 Aug 2026 17:28:23 -0500
Subject: [PATCH] Switch production checkpoint reference to epoch 3

Production was switched from ep2 to ep3 based on separability and
length-calibration evidence (JOINT_TRAINING_CLOSEOUT_REPORT.md). Updates
start-model.sh's default and the README's setup instructions. The Drive
link itself still points to the ep2 file pending re-upload -- flagged
inline in the README.
---
 README.md      | 6 ++++--
 start-model.sh | 6 +++---
 2 files changed, 7 insertions(+), 5 deletions(-)

diff --git a/README.md b/README.md
index ed1366e..da88c82 100644
--- a/README.md
+++ b/README.md
@@ -24,11 +24,13 @@ The 208 training/holdout packages themselves are already embedded inside
 
 ### 1. Get the model file
 
-Download `Qwen3-30B-A3B-VoxDay-Nuttall-SFT-ep2-Q8_0.gguf` (~31GB) from
+Download `Qwen3-30B-A3B-VoxDay-Nuttall-SFT-ep3-Q8_0.gguf` (~31GB) from
 Google Drive:
 
 https://drive.google.com/open?id=1q1w_XMp6oRmfx8xqXDV-HvDx_krVxQtD
 
+**Note (2026-08-30): the link above still points to the ep2 file.** Production was just switched to ep3 (separability + length-calibration evidence, see `JOINT_TRAINING_CLOSEOUT_REPORT.md`); the ep3 GGUF upload and link swap are pending.
+
 Memory needed: ~31GB for the weights plus ~3GB of KV cache at the full
 32768-token context, so ~35GB total. Confirmed working on a DGX Spark;
 should comfortably fit a 48GB L40 as well. If a machine has less than that,
@@ -51,7 +53,7 @@ This produces `llama.cpp/build/bin/llama-server`, which is what
 ### 3. Start the model server
 
 ```
-MODEL_PATH=/path/to/Qwen3-30B-A3B-VoxDay-Nuttall-SFT-ep2-Q8_0.gguf \
+MODEL_PATH=/path/to/Qwen3-30B-A3B-VoxDay-Nuttall-SFT-ep3-Q8_0.gguf \
 LLAMA_SERVER=/path/to/llama.cpp/build/bin/llama-server \
 ./start-model.sh
 ```
diff --git a/start-model.sh b/start-model.sh
index 950ee22..ae584a5 100755
--- a/start-model.sh
+++ b/start-model.sh
@@ -3,17 +3,17 @@
 #
 # Requires:
 #   - llama.cpp built with CUDA support (see README.md)
-#   - the Qwen3-30B-A3B-VoxDay-Nuttall-SFT-ep2-Q8_0.gguf file (from the team
+#   - the Qwen3-30B-A3B-VoxDay-Nuttall-SFT-ep3-Q8_0.gguf file (from the team
 #     Google Drive)
 #
 # Configure by setting environment variables before running, e.g.:
-#   MODEL_PATH=/data/models/Qwen3-30B-A3B-VoxDay-Nuttall-SFT-ep2-Q8_0.gguf \
+#   MODEL_PATH=/data/models/Qwen3-30B-A3B-VoxDay-Nuttall-SFT-ep3-Q8_0.gguf \
 #   LLAMA_SERVER=/opt/llama.cpp/build/bin/llama-server \
 #   ./start-model.sh
 # or just edit the defaults below.
 set -e
 
-MODEL_PATH="${MODEL_PATH:-$HOME/models/Qwen3-30B-A3B-VoxDay-Nuttall-SFT-ep2-Q8_0.gguf}"
+MODEL_PATH="${MODEL_PATH:-$HOME/models/Qwen3-30B-A3B-VoxDay-Nuttall-SFT-ep3-Q8_0.gguf}"
 LLAMA_SERVER="${LLAMA_SERVER:-$HOME/llama.cpp/build/bin/llama-server}"
 HOST="${HOST:-0.0.0.0}"
 PORT="${PORT:-8200}"