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Helps users discover and install agent skills based on their queries.
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gptq
Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs FP16. Integrates with transformers and PEFT for QLoRA fine-tuning.
#llm-optimization#deployment#fine-tuning#transformers#peft
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Repository
Repositorydavila7/claude-code-templates
Stars22,267
Last UpdatedMar 7, 2026
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