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deps(lora): bump the lora-deps group in /ai-projects/lora-training/microsoft_phi-silica-3.6_v1 with 2 updates #816

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deps(lora): bump the lora-deps group in /ai-projects/lora-training/microsoft_phi-silica-3.6_v1 with 2 updates #816

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deps(lora): bump the lora-deps group
dependabot[bot] Jul 8, 2026
b87e204
style: apply automated autofixes (ruff / prettier / clang-format) [Co…
github-actions[bot] Jul 8, 2026
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1 change: 0 additions & 1 deletion .github/CodeQL Analysis.yml
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1 change: 0 additions & 1 deletion .github/agent.md
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2 changes: 1 addition & 1 deletion ai-projects/lora-training/microsoft_phi-silica-3.6_v1/local_train/requirements.txt
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Expand Up @@ -10,7 +10,7 @@ accelerate>=1.14.0

# Utilities
pyyaml>=6.0.3
tqdm>=4.68.3
tqdm>=4.68.4

# Optional: Quantization support (for 4bit/8bit training)
# Uncomment if using use_4bit or use_8bit in config:
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2 changes: 1 addition & 1 deletion ai-projects/lora-training/microsoft_phi-silica-3.6_v1/requirements-advanced.txt
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Expand Up @@ -8,7 +8,7 @@ sentence-transformers>=5.6.0
rouge-score>=0.1.2
sacrebleu>=2.6.0
# Security pin: avoid vulnerable NLTK 3.9.4 (path traversal); keep within current major.
nltk>=3.9.5,<4
nltk>=3.10.0,<4

# Memory optimization
bitsandbytes>=0.49.2
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2 changes: 1 addition & 1 deletion ai-projects/lora-training/microsoft_phi-silica-3.6_v1/requirements.txt
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Expand Up @@ -4,7 +4,7 @@ datasets>=5.0.0
transformers>=5.13.0
peft>=0.19.1
accelerate>=1.14.0
tqdm>=4.68.3
tqdm>=4.68.4
einops>=0.8.2
numpy>=2.5.1
# Install torch appropriate to your CUDA; example:
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