From 6bd6662f5fca5593d1cfdd725707751c2ff075a4 Mon Sep 17 00:00:00 2001
From: Christian Medina <37550954+cmedinasoriano@users.noreply.github.com>
Date: Tue, 30 Jun 2026 20:41:53 -0400
Subject: [PATCH] docs: rename config and docs to reflect Ornith-35B model

---
 train-on-this-server.sh                                   | 8 ++++----
 training/README.md                                        | 6 +++---
 .../configs/{llama2-7b-lora.yaml => ornith-35b-lora.yaml} | 0
 3 files changed, 7 insertions(+), 7 deletions(-)
 rename training/configs/{llama2-7b-lora.yaml => ornith-35b-lora.yaml} (100%)

diff --git a/train-on-this-server.sh b/train-on-this-server.sh
index 4a6b199..0a19537 100755
--- a/train-on-this-server.sh
+++ b/train-on-this-server.sh
@@ -70,8 +70,8 @@ fi
 
 echo ""
 echo "=== Starting Training ==="
-echo "Config: training/configs/llama2-7b-lora.yaml"
-echo "Output: training/output/llama2-7b-lora/"
+echo "Config: training/configs/ornith-35b-lora.yaml"
+echo "Output: training/output/ornith-35b-lora/"
 echo ""
 echo "Training will take 6-24 hours depending on GPU."
 echo "Press Ctrl+C to stop (model will be saved at checkpoint)."
@@ -79,8 +79,8 @@ echo ""
 
 # Use torchrun for distributed training (2 GPUs)
 # Add --check-only to validate without training:
-# torchrun --nproc_per_node=2 training/scripts/train.py --config training/configs/llama2-7b-lora.yaml --check-only
-torchrun --nproc_per_node=2 training/scripts/train.py --config training/configs/llama2-7b-lora.yaml
+# torchrun --nproc_per_node=2 training/scripts/train.py --config training/configs/ornith-35b-lora.yaml --check-only
+torchrun --nproc_per_node=2 training/scripts/train.py --config training/configs/ornith-35b-lora.yaml
 
 echo ""
 echo "=== Training Complete ==="
diff --git a/training/README.md b/training/README.md
index c21fee0..d0718ca 100644
--- a/training/README.md
+++ b/training/README.md
@@ -53,13 +53,13 @@ This splits the 20k dataset into train/test sets (95/5).
 ### 2. Train Model
 
 ```bash
-python scripts/train.py --config configs/llama2-7b-lora.yaml
+python scripts/train.py --config configs/ornith-35b-lora.yaml
 ```
 
 Or with custom parameters:
 
 ```bash
-python scripts/train.py --config configs/llama2-7b-lora.yaml --epochs 5 --batch-size 8
+python scripts/train.py --config configs/ornith-35b-lora.yaml --epochs 5 --batch-size 8
 ```
 
 Training takes approximately 6-24 hours depending on GPU.
@@ -68,7 +68,7 @@ Training takes approximately 6-24 hours depending on GPU.
 
 ```bash
 python scripts/inference.py \
-    --model output/llama2-7b-lora \
+    --model output/ornith-35b-lora \
     --task "Fix parser crash on malformed JSON" \
     --files src/parser.cpp \
     --tests-run --test-count 294 \
diff --git a/training/configs/llama2-7b-lora.yaml b/training/configs/ornith-35b-lora.yaml
similarity index 100%
rename from training/configs/llama2-7b-lora.yaml
rename to training/configs/ornith-35b-lora.yaml