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Fix errors during inference

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0cc4m
2023-03-27 21:30:43 +00:00
parent d1a2005a27
commit 0f1fc46078
2 changed files with 12 additions and 4 deletions
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14
aiserver.py
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@@ -94,6 +94,7 @@ sys.path.insert(0, os.path.abspath(Path("repos/gptq")))
from gptj import load_quant as gptj_load_quant from gptj import load_quant as gptj_load_quant
from gptneox import load_quant as gptneox_load_quant from gptneox import load_quant as gptneox_load_quant
from llama import load_quant as llama_load_quant from llama import load_quant as llama_load_quant
monkey_patched_4bit = False
if lupa.LUA_VERSION[:2] != (5, 4): if lupa.LUA_VERSION[:2] != (5, 4):
@@ -3128,23 +3129,28 @@ def load_model(use_gpu=True, gpu_layers=None, disk_layers=None, initial_load=Fal
path_4bit = os.path.join(koboldai_vars.custmodpth, "4bit.pt") path_4bit = os.path.join(koboldai_vars.custmodpth, "4bit.pt")
path_4bit_old = os.path.join(koboldai_vars.custmodpth, "4bit-old.pt") path_4bit_old = os.path.join(koboldai_vars.custmodpth, "4bit-old.pt")
global monkey_patched_4bit
# Monkey-patch in old-format pt-file support # Monkey-patch in old-format pt-file support
if not os.path.isfile(path_4bit): if not os.path.isfile(path_4bit):
print(f"4-bit file {path_4bit} not found, falling back to {path_4bit_old}") print(f"4-bit file {path_4bit} not found, falling back to {path_4bit_old}")
path_4bit = path_4bit_old path_4bit = path_4bit_old
import llama, opt, gptneox, gptj, old_quant, quant_cuda_old import llama, opt, gptneox, gptj, old_quant
llama.make_quant = old_quant.old_make_quant llama.make_quant = old_quant.old_make_quant
opt.make_quant = old_quant.old_make_quant opt.make_quant = old_quant.old_make_quant
gptneox.make_quant = old_quant.old_make_quant gptneox.make_quant = old_quant.old_make_quant
gptj.make_quant = old_quant.old_make_quant gptj.make_quant = old_quant.old_make_quant
elif llama.make_quant == old_quant.old_make_quant: monkey_patched_4bit = True
elif monkey_patched_4bit:
# Undo monkey patch # Undo monkey patch
import quant print("Undoing 4-bit old format monkey patch")
import llama, opt, gptneox, gptj, quant
llama.make_quant = quant.make_quant llama.make_quant = quant.make_quant
opt.make_quant = quant.make_quant opt.make_quant = quant.make_quant
gptneox.make_quant = quant.make_quant gptneox.make_quant = quant.make_quant
gptj.make_quant = quant.make_quant gptj.make_quant = quant.make_quant
monkey_patched_4bit = False
if not os.path.isfile(path_4bit): if not os.path.isfile(path_4bit):
@@ -3165,6 +3171,8 @@ def load_model(use_gpu=True, gpu_layers=None, disk_layers=None, initial_load=Fal
tokenizer = LlamaTokenizer.from_pretrained(koboldai_vars.custmodpth) tokenizer = LlamaTokenizer.from_pretrained(koboldai_vars.custmodpth)
else: else:
raise RuntimeError(f"4-bit load failed. Model type {koboldai_vars.model_type} not supported in 4-bit") raise RuntimeError(f"4-bit load failed. Model type {koboldai_vars.model_type} not supported in 4-bit")
model = model.float()
else: else:
try: try:
tokenizer = AutoTokenizer.from_pretrained(koboldai_vars.custmodpth, revision=koboldai_vars.revision, cache_dir="cache", use_fast=False) tokenizer = AutoTokenizer.from_pretrained(koboldai_vars.custmodpth, revision=koboldai_vars.revision, cache_dir="cache", use_fast=False)

2
repos/gptq

Submodule repos/gptq updated: 791cfe376a...0748a680e9