AutoGPTQ/auto_gptq/modeling
2023-05-06 00:20:29 +09:00
..
__init__.py fix device mismatch when directly using model to inference after quantization 2023-04-28 16:41:46 +08:00
_base.py Fix 'groupsize' -> 'group_size' in all other .py files. I haven't touched any CUDA kernels in case there's any complexity there I don't understand 2023-05-05 14:44:16 +01:00
_const.py add gpt2 2023-04-28 09:13:22 +09:00
_utils.py Merge branch 'main' into faster-llama 2023-05-06 00:20:29 +09:00
auto.py support faster and model load strict 2023-05-04 09:07:34 +09:00
bloom.py support dispatch layers to different devices when loading pretrained model before quantization 2023-04-27 02:24:08 +08:00
gpt2.py fix device mismatch when directly using model to inference after quantization 2023-04-28 16:41:46 +08:00
gpt_neox.py support dispatch layers to different devices when loading pretrained model before quantization 2023-04-27 02:24:08 +08:00
gptj.py support dispatch layers to different devices when loading pretrained model before quantization 2023-04-27 02:24:08 +08:00
llama.py Fix 'groupsize' -> 'group_size' in all other .py files. I haven't touched any CUDA kernels in case there's any complexity there I don't understand 2023-05-05 14:44:16 +01:00
moss.py remove non-parameters module from MOSSGPTQForCausalLM.outside_layer_modules 2023-04-29 10:58:29 +08:00
opt.py remove override of _resize_attention_mask for llama and opt 2023-04-28 23:08:42 +08:00