OlivierDehaene 85f10ec5c9 feat(fp8): use fbgemm kernels and load fp8 weights directly (#2248) ... * feat(fp8): add support for fbgemm * allow loading fp8 weights directly * update outlines * fix makefile * build fbgemm * avoid circular import and fix dockerfile * add default dtype * refactored weights loader * fix auto conversion * fix quantization config parsing * force new nccl on install * missing get_weights implementation * increase timeout		2024-09-25 05:30:41 +00:00
..
attention	feat(fp8): use fbgemm kernels and load fp8 weights directly (#2248)	2024-09-25 05:30:41 +00:00
awq	Support AWQ quantization with bias (#2117)	2024-09-24 03:55:04 +00:00
gptq	Add support for Deepseek V2 (#2224)	2024-09-25 05:27:40 +00:00
__init__.py	Enable multiple LoRa adapters (#2010)	2024-09-24 03:55:04 +00:00
bnb.py	feat(fp8): use fbgemm kernels and load fp8 weights directly (#2248)	2024-09-25 05:30:41 +00:00
conv.py	Refactor layers. (#1866)	2024-07-17 05:36:58 +00:00
eetq.py	feat(fp8): use fbgemm kernels and load fp8 weights directly (#2248)	2024-09-25 05:30:41 +00:00
exl2.py	Add support for Deepseek V2 (#2224)	2024-09-25 05:27:40 +00:00
fp8.py	feat(fp8): use fbgemm kernels and load fp8 weights directly (#2248)	2024-09-25 05:30:41 +00:00
layernorm.py	Removing IPEX_AVAIL. (#2115)	2024-09-24 03:52:23 +00:00
linear.py	Improve the handling of quantized weights (#2250)	2024-09-25 05:27:40 +00:00
lora.py	Enable multiple LoRa adapters (#2010)	2024-09-24 03:55:04 +00:00
marlin.py	feat(fp8): use fbgemm kernels and load fp8 weights directly (#2248)	2024-09-25 05:30:41 +00:00
medusa.py	fix: use path inside of speculator config (#1935)	2024-07-17 05:36:58 +00:00
mlp.py	MLPSpeculator. (#1865)	2024-07-17 05:36:58 +00:00
rotary.py	Add support for Deepseek V2 (#2224)	2024-09-25 05:27:40 +00:00
speculative.py	MLPSpeculator. (#1865)	2024-07-17 05:36:58 +00:00
tensor_parallel.py	Improve the handling of quantized weights (#2250)	2024-09-25 05:27:40 +00:00