AI & LLM Engineering · Qwen · amd/Quark

Low-memory file2file quantization for very large safetensors LLMs that cannot be loaded whole.

amd/Quark

L3 recipe that runs a Torch LLM PTQ end-to-end for AMD Quark — for PyTorch / HuggingFace transformers models (safetensors input): quantize → validate → evaluate.

amd/Quark

Torch LLM PTQ workflow for AMD Quark — from model selection to quantized output.

amd/Quark

Inspect a target model and prepare metadata for Quark PTQ planning.

amd/Quark

Validate workspace shape, model paths, output directories, and repo structure before downstream Quark skills proceed.

amd/Quark

Runs an end-to-end AMD Quark post-training quantization workflow for PyTorch / Hugging Face LLMs: inspect a Hub or local model, choose a quantization plan, create reproducible artifacts, request…

amd/Quark