OBLITERATUS Skill
OBLITERATUS: abliterate LLM refusals (diff-in-means).
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OBLITERATUS: abliterate LLM refusals (diff-in-means).
Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit optimizers. Works with HuggingFace Transformers.
Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit optimizers. Works with HuggingFace Transformers.
Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit optimizers. Works with HuggingFace Transformers.
OBLITERATUS: abliterate LLM refusals (diff-in-means).
Guides users through the process of preparing datasets and fine-tuning local Large Language Models (LLMs) using techniques like LoRA and QLoRA.
Agent skill for ML / AI Engineer, Data Scientist, Backend Developer, published by cuba6112. Project details and file access are provided by the publisher.
Agent skill for ML / AI Engineer, Data Scientist, Backend Developer, published by cuba6112. Project details and file access are provided by the publisher.
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