diff --git a/batch_gemma_llama_new.sh b/batch_gemma_llama_new.sh
new file mode 100644
index 0000000..d6db711
--- /dev/null
+++ b/batch_gemma_llama_new.sh
@@ -0,0 +1,31 @@
+#!/bin/bash
+#SBATCH --job-name=gemma_llama_instruct
+#SBATCH --partition=a3
+#SBATCH --nodes=1
+#SBATCH --gpus=8
+#SBATCH --output=outputs/%x-%j.out
+#SBATCH --error=outputs/%x-%j.out
+
+# module load
+# module load cuda/12.1
+# module load cudnn/8.9.7
+# module load nccl/cuda-12.1/2.18.3
+# module load hpcx/2.20
+
+# export OMP_NUM_THREADS=24
+# export TRITON_CACHE_DIR=/tmp/.triton/
+. ~/miniconda3/etc/profile.d/conda.sh
+conda activate /home/rujikorn_sakana_ai/.conda/envs/llm-modulator
+# eval "$@"
+
+accelerate launch --num_processes=8 --gradient_accumulation_steps=1 --gradient_clipping=1.0 \
+--gpu_ids all --main_process_port 29554 intx_sft.py configs/pretrain_all.yaml \
+--model_name_or_path=google/gemma-2-2b-it --num_train_epochs=10.1 --per_device_train_batch_size=32 \
+--gradient_accumulation_steps=1 --per_device_eval_batch_size=32 --exp_setup=hyper_lora --aggregator_type=perceiver \
+--target_modules=down_proj --num_blocks=1 --num_self_attends_per_block=16 \
+--eval_steps=5000 --save_steps=5000 --learning_rate=2e-5 \
+--neftune_noise_alpha=1 --use_light_weight_lora=True --light_weight_latent_size=512 \
+--load_best_model_at_end=True --metric_for_best_model=pwc_loss --add_negative_prompt=False \
+--add_repeat_prompt=False --ctx_encoder_model_name_or_path=meta-llama/Llama-3.1-8B-Instruct \
+--use_sequence_packing=True
+
diff --git a/batch_gemma_llama_new_up_and_down.sh b/batch_gemma_llama_new_up_and_down.sh
new file mode 100644
index 0000000..3f80919
--- /dev/null
+++ b/batch_gemma_llama_new_up_and_down.sh
@@ -0,0 +1,31 @@
+#!/bin/bash
+#SBATCH --job-name=gemma_llama_instruct
+#SBATCH --partition=a3
+#SBATCH --nodes=1
+#SBATCH --gpus=8
+#SBATCH --output=outputs/%x-%j.out
+#SBATCH --error=outputs/%x-%j.out
+
+# module load
+# module load cuda/12.1
+# module load cudnn/8.9.7
+# module load nccl/cuda-12.1/2.18.3
+# module load hpcx/2.20
+
+# export OMP_NUM_THREADS=24
+# export TRITON_CACHE_DIR=/tmp/.triton/
+. ~/miniconda3/etc/profile.d/conda.sh
+conda activate /home/rujikorn_sakana_ai/.conda/envs/llm-modulator
+# eval "$@"
+
+accelerate launch --num_processes=8 --gradient_accumulation_steps=1 --gradient_clipping=1.0 \
+--gpu_ids all --main_process_port 29554 intx_sft.py configs/pretrain_all.yaml \
+--model_name_or_path=google/gemma-2-2b-it --num_train_epochs=10.1 --per_device_train_batch_size=32 \
+--gradient_accumulation_steps=1 --per_device_eval_batch_size=32 --exp_setup=hyper_lora --aggregator_type=perceiver \
+--target_modules=up_proj,down_proj --num_blocks=1 --num_self_attends_per_block=16 \
+--eval_steps=5000 --save_steps=5000 --learning_rate=2e-5 \
+--neftune_noise_alpha=1 --use_light_weight_lora=True --light_weight_latent_size=512 \
+--load_best_model_at_end=True --metric_for_best_model=pwc_loss --add_negative_prompt=False \
+--add_repeat_prompt=False --ctx_encoder_model_name_or_path=meta-llama/Llama-3.1-8B-Instruct \
+--use_sequence_packing=True
+
diff --git a/batch_gemma_llama_new_up_and_down_ln.sh b/batch_gemma_llama_new_up_and_down_ln.sh
new file mode 100644
index 0000000..4fb353d
--- /dev/null
+++ b/batch_gemma_llama_new_up_and_down_ln.sh
@@ -0,0 +1,31 @@
+#!/bin/bash
+#SBATCH --job-name=gemma_llama_instruct
+#SBATCH --partition=a3
+#SBATCH --nodes=1
+#SBATCH --gpus=8
+#SBATCH --output=outputs/%x-%j.out
+#SBATCH --error=outputs/%x-%j.out
+
+# module load
+# module load cuda/12.1
+# module load cudnn/8.9.7
+# module load nccl/cuda-12.1/2.18.3
+# module load hpcx/2.20
+
+# export OMP_NUM_THREADS=24
+# export TRITON_CACHE_DIR=/tmp/.triton/
+. ~/miniconda3/etc/profile.d/conda.sh
+conda activate /home/rujikorn_sakana_ai/.conda/envs/llm-modulator
+# eval "$@"
+
+accelerate launch --num_processes=8 --gradient_accumulation_steps=1 --gradient_clipping=1.0 \
+--gpu_ids all --main_process_port 29554 intx_sft.py configs/pretrain_all.yaml \
+--model_name_or_path=google/gemma-2-2b-it --num_train_epochs=10.1 --per_device_train_batch_size=32 \
+--gradient_accumulation_steps=1 --per_device_eval_batch_size=32 --exp_setup=hyper_lora --aggregator_type=perceiver \
+--target_modules=up_proj,down_proj --extra_modules=input_layernorm,post_attention_layernorm --num_blocks=1 --num_self_attends_per_block=16 \
+--eval_steps=5000 --save_steps=5000 --learning_rate=2e-5 \
+--neftune_noise_alpha=1 --use_light_weight_lora=True --light_weight_latent_size=512 \
+--load_best_model_at_end=True --metric_for_best_model=pwc_loss --add_negative_prompt=False \
+--add_repeat_prompt=False --ctx_encoder_model_name_or_path=meta-llama/Llama-3.1-8B-Instruct \
+--use_sequence_packing=True
+