diff --git a/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/azure-requirements.txt b/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/azure-requirements.txt index 130ef888d..e19a6fca6 100644 --- a/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/azure-requirements.txt +++ b/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/azure-requirements.txt @@ -1,11 +1,11 @@ # Azure Machine Learning SDK -azure-ai-ml>=1.34.0 +azure-ai-ml>=1.34.1 azure-identity>=1.25.3 azure-core>=1.41.0 # Core dependencies (if not already installed) -azure-storage-blob>=12.30.0 +azure-storage-blob>=12.30.1 azure-monitor-opentelemetry>=1.8.9 # Optional: For advanced features -mlflow>=3.14.0 +mlflow>=3.15.2 diff --git a/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/local_train/requirements.txt b/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/local_train/requirements.txt index 90d72660a..a15ee22be 100644 --- a/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/local_train/requirements.txt +++ b/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/local_train/requirements.txt @@ -2,15 +2,15 @@ # No Azure dependencies - just core ML libraries # Core ML frameworks -torch>=2.13.0 -transformers>=5.13.0 -peft>=0.19.1 -datasets>=5.0.0 +torch>=2.14.0 +transformers>=5.16.1 +peft>=0.20.0 +datasets>=5.0.1 accelerate>=1.14.0 # Utilities pyyaml>=6.0.3 -tqdm>=4.68.4 +tqdm>=4.70.0 # Optional: Quantization support (for 4bit/8bit training) # Uncomment if using use_4bit or use_8bit in config: diff --git a/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/requirements-advanced.txt b/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/requirements-advanced.txt index 924522ce4..28684c168 100644 --- a/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/requirements-advanced.txt +++ b/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/requirements-advanced.txt @@ -2,33 +2,33 @@ # Install with: pip install -r requirements-advanced.txt # Semantic search and document embedding -sentence-transformers>=5.6.0 +sentence-transformers>=6.0.1 # Evaluation metrics rouge-score>=0.1.2 sacrebleu>=2.6.0 # Security pin: avoid vulnerable NLTK 3.9.4 (path traversal); keep within current major. -nltk>=3.10.0,<4 +nltk>=3.10.3,<4 # Memory optimization -bitsandbytes>=0.49.2 +bitsandbytes>=0.50.2 # GPU optimization (Linux only - fails gracefully on Windows) # flash-attn>=2.3.0 # Visualization -matplotlib>=3.11.0 +matplotlib>=3.11.1 seaborn>=0.13.2 -scipy>=1.18.0 +scipy>=1.18.1 # Model serving & deployment -fastapi>=0.139.0 -uvicorn[standard]>=0.51.0 -pydantic>=2.13.4 +fastapi>=0.141.1 +uvicorn[standard]>=0.52.4 +pydantic>=2.13.5 # Model export onnx>=1.22.0 -onnxruntime>=1.27.0 +onnxruntime>=1.29.0 # Experiment tracking (optional) # mlflow>=2.8.0 diff --git a/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/requirements.txt b/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/requirements.txt index 95bbd5352..35a1a9a56 100644 --- a/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/requirements.txt +++ b/ai-projects/lora-training/microsoft_phi-silica-3.6_v1/requirements.txt @@ -1,12 +1,12 @@ # Fine-tuning requirements for microsoft_phi-silica-3.6_v1 pyyaml>=6.0.3 -datasets>=5.0.0 -transformers>=5.13.0 -peft>=0.19.1 +datasets>=5.0.1 +transformers>=5.16.1 +peft>=0.20.0 accelerate>=1.14.0 -tqdm>=4.68.4 +tqdm>=4.70.0 einops>=0.8.2 -numpy>=2.5.1 +numpy>=2.5.2 # Install torch appropriate to your CUDA; example: # pip install torch --index-url https://download.pytorch.org/whl/cu121