FineTuningExamples/requirements.txt at main · samquiring/FineTuningExamples · GitHub

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# ============================================================
# Qwen3-8B SFT Fine-Tuning — Berlin TV Tower
# H100 (RunPod) | CUDA 12.8 | Python 3.11+
# Install order matters — torch must be installed first
# ============================================================

# ------------------------------------------------------------
# 1. PyTorch — install this first with the correct index URL
#    pip install torch==2.8.0+cu128 torchaudio==2.8.0+cu128 \
#      --index-url https://download.pytorch.org/whl/cu128
#    DO NOT install torchvision — it will upgrade torch
# ------------------------------------------------------------

# ------------------------------------------------------------
# 2. Core training stack
# ------------------------------------------------------------
unsloth
unsloth_zoo
transformers>=4.51.0        # Qwen3 requires >= 4.51.0
trl>=0.12.0
peft>=0.14.0
accelerate>=1.0.0
datasets>=3.0.0
tokenizers>=0.21.0

# ------------------------------------------------------------
# 3. Quantization + precision
# ------------------------------------------------------------
bitsandbytes>=0.45.0        # Required for 4-bit loading (optional if using full BF16)

# ------------------------------------------------------------
# 4. Serialization / tokenizer utilities
# ------------------------------------------------------------
sentencepiece
protobuf

# ------------------------------------------------------------
# 5. Utilities
# ------------------------------------------------------------
huggingface_hub>=0.27.0     # Model + dataset downloads
packaging
einops                      # Required by some Unsloth internals