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Potential fix for gpt-neo and gpt-j

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This commit is contained in:
ebolam
2023-05-23 19:25:01 -04:00
parent 7a8e4c39da
commit 839d56ebf2
1 changed files with 11 additions and 10 deletions
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21
modeling/inference_models/hf.py
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@@ -199,8 +199,9 @@ class HFInferenceModel(InferenceModel):
pass
def _post_load(self) -> None:
self.model_type = str(self.model_config.model_type)
# These are model specific tokenizer overrides if a model has bad defaults
if utils.koboldai_vars.model_type == "llama":
if self.model_type == "llama":
# Note: self.tokenizer is a GenericTokenizer, and self.tokenizer.tokenizer is the actual LlamaTokenizer
self.tokenizer.add_bos_token = False
@@ -284,23 +285,23 @@ class HFInferenceModel(InferenceModel):
return result
object.__setattr__(self.tokenizer, '__call__', call_wrapper.__get__(self.tokenizer))
elif utils.koboldai_vars.model_type == "opt":
elif self.model_type == "opt":
self.tokenizer._koboldai_header = self.tokenizer.encode("")
self.tokenizer.add_bos_token = False
self.tokenizer.add_prefix_space = False
# Change newline behavior to match model quirks
if utils.koboldai_vars.model_type == "xglm":
if self.model_type == "xglm":
# Default to </s> newline mode if using XGLM
utils.koboldai_vars.newlinemode = "s"
elif utils.koboldai_vars.model_type in ["opt", "bloom"]:
elif self.model_type in ["opt", "bloom"]:
# Handle </s> but don't convert newlines if using Fairseq models that have newlines trained in them
utils.koboldai_vars.newlinemode = "ns"
# Clean up tokens that cause issues
if (
utils.koboldai_vars.badwordsids == koboldai_settings.badwordsids_default
and utils.koboldai_vars.model_type not in ("gpt2", "gpt_neo", "gptj")
and self.model_type not in ("gpt2", "gpt_neo", "gptj")
):
utils.koboldai_vars.badwordsids = [
[v]
@@ -357,15 +358,15 @@ class HFInferenceModel(InferenceModel):
revision=utils.koboldai_vars.revision,
cache_dir="cache",
)
utils.koboldai_vars.model_type = self.model_config.model_type
self.model_type = self.model_config.model_type
except ValueError:
utils.koboldai_vars.model_type = {
self.model_type = {
"NeoCustom": "gpt_neo",
"GPT2Custom": "gpt2",
}.get(utils.koboldai_vars.model)
}.get(self.model)
if not utils.koboldai_vars.model_type:
if not self.model_type:
logger.warning(
"No model type detected, assuming Neo (If this is a GPT2 model use the other menu option or --model GPT2Custom)"
)
utils.koboldai_vars.model_type = "gpt_neo"
self.model_type = "gpt_neo"