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Add gpt_bigcode support, fix 8-bit GPTQ incoherence

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0cc4m
2023-05-23 06:59:28 +02:00
parent 47b371b9d3
commit 12df8220fb
3 changed files with 7 additions and 1 deletions
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modeling/inference_models/gptq_hf_torch/class.py
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@@ -35,6 +35,7 @@ from gptq.gptj import load_quant as gptj_load_quant
from gptq.gptneox import load_quant as gptneox_load_quant
from gptq.llama import load_quant as llama_load_quant
from gptq.opt import load_quant as opt_load_quant
from gptq.bigcode import load_quant as bigcode_load_quant
from gptq.mpt import load_quant as mpt_load_quant
from gptq.offload import load_quant_offload
@@ -220,6 +221,8 @@ class model_backend(HFTorchInferenceModel):
model = load_quant_offload(opt_load_quant, location, gptq_file, gptq_bits, gptq_groupsize, self.gpu_layers_list)
elif model_type == "mpt":
model = load_quant_offload(mpt_load_quant, location, gptq_file, gptq_bits, gptq_groupsize, self.gpu_layers_list)
elif model_type == "gpt_bigcode":
model = load_quant_offload(bigcode_load_quant, location, path_4bit, utils.koboldai_vars.gptq_bits, groupsize, self.gpu_layers_list).half()
elif autogptq_support:
# Monkey patch in hf_bleeding_edge to avoid having to trust remote code
auto_gptq.modeling._utils.AutoConfig = hf_bleeding_edge.AutoConfig