OlivierDehaene 53ec0b790b 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		2024-07-20 19:02:04 +02:00
..
attention	feat(fp8): use fbgemm kernels and load fp8 weights directly (#2248)	2024-07-20 19:02:04 +02:00
awq	Support AWQ quantization with bias (#2117)	2024-06-25 21:09:00 +02:00
gptq	feat(fp8): use fbgemm kernels and load fp8 weights directly (#2248)	2024-07-20 19:02:04 +02:00
__init__.py	Enable multiple LoRa adapters (#2010)	2024-06-25 14:46:27 -04:00
bnb.py	feat(fp8): use fbgemm kernels and load fp8 weights directly (#2248)	2024-07-20 19:02:04 +02:00
conv.py	Refactor layers. (#1866)	2024-05-13 12:44:30 +02:00
eetq.py	feat(fp8): use fbgemm kernels and load fp8 weights directly (#2248)	2024-07-20 19:02:04 +02:00
exl2.py	Add support for Deepseek V2 (#2224)	2024-07-19 17:23:20 +02:00
fp8.py	feat(fp8): use fbgemm kernels and load fp8 weights directly (#2248)	2024-07-20 19:02:04 +02:00
layernorm.py	Removing IPEX_AVAIL. (#2115)	2024-06-25 13:20:57 +02:00
linear.py	Improve the handling of quantized weights (#2250)	2024-07-19 09:37:39 +02:00
lora.py	Enable multiple LoRa adapters (#2010)	2024-06-25 14:46:27 -04:00
marlin.py	feat(fp8): use fbgemm kernels and load fp8 weights directly (#2248)	2024-07-20 19:02:04 +02:00
medusa.py	fix: use path inside of speculator config (#1935)	2024-05-22 20:46:29 +02:00
mlp.py	MLPSpeculator. (#1865)	2024-05-14 12:33:18 +02:00
rotary.py	Add support for Deepseek V2 (#2224)	2024-07-19 17:23:20 +02:00
speculative.py	MLPSpeculator. (#1865)	2024-05-14 12:33:18 +02:00
tensor_parallel.py	Improve the handling of quantized weights (#2250)	2024-07-19 09:37:39 +02:00