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* Use Hub kernels for Marlin and cutlass quantization kernels * Use hub kernels for MoE/GPTQ-Marlin MoE * Use attention kernels from the Hub * Cache the kernels in the Docker image * Update moe kernels * Support loading local kernels for development * Support latest moe kernels * Update to moe 0.1.1 * CI: download locked kernels for server tests * Fixup some imports * CI: activate venv * Fix unused imports * Nix: add attention/moe/quantization kernels * Update hf-kernels to 0.1.5 * Update kernels * Update tgi-nix flake for hf-kernels * Fix EOF * Take `load_kernel` out of a frequently-called function * Hoist another case of kernel loading out of a somewhat hot function * marlin-kernels -> quantization * attention -> paged-attention * EOF fix * Update hf-kernels, fixup Docker * ipex fix * Remove outdated TODO |
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.. | ||
custom_modeling | ||
__init__.py | ||
bloom.py | ||
causal_lm.py | ||
flash_causal_lm.py | ||
galactica.py | ||
globals.py | ||
idefics_causal_lm.py | ||
mamba.py | ||
metadata_kernels.py | ||
mllama_causal_lm.py | ||
model.py | ||
pali_gemma.py | ||
seq2seq_lm.py | ||
transformers_flash_causal_lm.py | ||
types.py | ||
vlm_causal_lm.py |