Upload merged Qwen3-4B-Instruct-2507 model (auto-generated README)

README.md

@@ -65,9 +65,9 @@ DB category weights used during training-data preparation:
 - Base model: Qwen/Qwen3-4B-Instruct-2507
 - Method: LoRA (full precision base)
 - Max sequence length: 2048
-- Epochs: 1.2
+- Epochs: 2.0
 - Learning rate: 3e-06
-- LoRA: r=32, alpha=64, dropout=0.0
+- LoRA: r=32, alpha=64, dropout=0.05
 - Per-device train batch size: 2
 - Gradient accumulation: 4
 

model-00001-of-00002.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:138c634ad430d7e57b870bbf5595d5c5cd81d8b4a0d0000848336893219da68d
+oid sha256:05c08cd2358f4731239d0852327bc3557cfd3dfa2a35642a3f1d822329035722
 size 4967215360

model-00002-of-00002.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:35dd175b4f465cc7477e750b412dbf66c06fdf110ba534e33beb8680e535517b
+oid sha256:3540058ae454cb87e01380ab5910784fc676ba5349e85b232446df661bffb673
 size 3077766632