diff --git a/examples/single-node-training/trl/README.md b/examples/single-node-training/trl/README.md
index 300c9255e..3374ec51c 100644
--- a/examples/single-node-training/trl/README.md
+++ b/examples/single-node-training/trl/README.md
@@ -21,19 +21,19 @@ env:
   - WANDB_API_KEY
   - HUB_MODEL_ID
 commands:
-  - pip install "transformers>=4.43.2"
-  - pip install bitsandbytes
-  - pip install flash-attn --no-build-isolation
-  - pip install peft
-  - pip install wandb
+  # Pin torch==2.6.0 to avoid building Flash Attention from source.
+  # Prebuilt Flash Attention wheels are not available for the latest torch==2.7.0.
+  - uv pip install torch==2.6.0
+  - uv pip install transformers bitsandbytes peft wandb
+  - uv pip install flash_attn --no-build-isolation
   - git clone https://github.com/huggingface/trl
   - cd trl
-  - pip install .
-  - | 
+  - uv pip install .
+  - |
     accelerate launch \
       --config_file=examples/accelerate_configs/multi_gpu.yaml \
       --num_processes $DSTACK_GPUS_PER_NODE \
-      examples/scripts/sft.py \
+      trl/scripts/sft.py \
       --model_name meta-llama/Meta-Llama-3.1-8B \
       --dataset_name OpenAssistant/oasst_top1_2023-08-25 \
       --dataset_text_field="text" \
@@ -44,14 +44,15 @@ commands:
       --report_to wandb \
       --bf16 \
       --max_seq_length 1024 \
-      --lora_r 16 --lora_alpha 32 \
+      --lora_r 16 \
+      --lora_alpha 32 \
       --lora_target_modules q_proj k_proj v_proj o_proj \
       --load_in_4bit \
       --use_peft \
       --attn_implementation "flash_attention_2" \
       --logging_steps=10 \
       --output_dir models/llama31 \
-      --hub_model_id $HUB_MODEL_ID
+      --hub_model_id peterschmidt85/FineLlama-3.1-8B
 
 resources:
   gpu:
diff --git a/examples/single-node-training/trl/train.dstack.yml b/examples/single-node-training/trl/train.dstack.yml
index de57c3c11..77a23f3b0 100644
--- a/examples/single-node-training/trl/train.dstack.yml
+++ b/examples/single-node-training/trl/train.dstack.yml
@@ -12,20 +12,19 @@ env:
   - ACCELERATE_LOG_LEVEL=info
 # Commands of the task
 commands:
-  - conda install cuda
-  - pip install git+https://github.com/huggingface/transformers.git
-  - pip install bitsandbytes
-  - pip install flash-attn --no-build-isolation
-  - pip install peft
-  - pip install wandb
+  # Pin torch==2.6.0 to avoid building Flash Attention from source.
+  # Prebuilt Flash Attention wheels are not available for the latest torch==2.7.0.
+  - uv pip install torch==2.6.0 torchvision==0.21.0 torchaudio==2.6.0
+  - uv pip install transformers bitsandbytes peft wandb
+  - uv pip install flash_attn --no-build-isolation
   - git clone https://github.com/huggingface/trl
   - cd trl
-  - pip install .
+  - uv pip install .
   - |
     accelerate launch \
       --config_file=examples/accelerate_configs/multi_gpu.yaml \
       --num_processes $DSTACK_GPUS_PER_NODE \
-      examples/scripts/sft.py \
+      trl/scripts/sft.py \
       --model_name meta-llama/Meta-Llama-3.1-8B \
       --dataset_name OpenAssistant/oasst_top1_2023-08-25 \
       --dataset_text_field="text" \
@@ -36,15 +35,15 @@ commands:
       --report_to wandb \
       --bf16 \
       --max_seq_length 1024 \
-      --lora_r 16 --lora_alpha 32 \
+      --lora_r 16 \
+      --lora_alpha 32 \
       --lora_target_modules q_proj k_proj v_proj o_proj \
       --load_in_4bit \
       --use_peft \
       --attn_implementation "flash_attention_2" \
       --logging_steps=10 \
       --output_dir models/llama31 \
-      --hub_model_id $HUB_MODEL_ID
-
+      --hub_model_id peterschmidt85/FineLlama-3.1-8B
 resources:
   gpu:
     # 24GB or more VRAM