ERROR rasa.core.agent - Could not load model due to cannot reshape array of size 170836988 into shape (684830,300)

What could be the cause of this error? Has anyone encountered this issue before? I have deployed my endpoint in a docker container in Kubernetes.

My Dockerfile and config.yml are as follows.

Dockerfile:

 FROM rasa/rasa:2.5.0-full
MAINTAINER Ben Jenis
COPY ./*.yml /app/
COPY ./data /app/data/
#COPY ./tests /app/tests/
COPY ./actions /app/actions/
COPY ./requirements.txt /app/requirements.txt
COPY ./models /app/models
WORKDIR /app
USER root
RUN mkdir cache
RUN chmod -R 777 ./cache
RUN pip install --upgrade pip
RUN pip install -r requirements.txt
EXPOSE 5005
USER 1001
CMD ["run", "--enable-api"]

config.yml:

language: en

pipeline:
   - name: SpacyNLP
     model: "en_core_web_lg"
     cache_dir: app/cache
   - name: SpacyTokenizer
   - name: SpacyFeaturizer
   - name: RegexFeaturizer
   - name: LexicalSyntacticFeaturizer
   - name: RegexEntityExtractor
   - name: CRFEntityExtractor
   - name: EntitySynonymMapper
   - name: DIETClassifier
     epochs: 100
     entity_recognition: False
     constrain_similarities: True # this should help to better generalization to real world test sets
#   - name: EntitySynonymMapper
#   - name: ResponseSelector
#     epochs: 100
#     constrain_similarities: true
   - name: FallbackClassifier
     threshold: 0.5
     ambiguity_threshold: 0.4
#
policies:
# # No configuration for policies was provided. The following default policies were used to train your model.
# # If you'd like to customize them, uncomment and adjust the policies.
   - name: MemoizationPolicy
   - name: TEDPolicy
     max_history: 5
     epochs: 100
     constrain_similarities: true
   - name: RulePolicy
     core_fallback_threshold: 0.4
     core_fallback_action_name: "action_default_fallback"
     enable_fallback_prediction: True

More detailed output of error:

/model/parse POST parse

/conversations/<conversation_id:path>/predict POST predict

/conversations/<conversation_id:path>/tracker/events PUT replace_events

/conversations/<conversation_id:path>/story GET retrieve_story

/conversations/<conversation_id:path>/tracker GET retrieve_tracker

/status GET status

/model/predict POST tracker_predict

/model/train POST train

/conversations/<conversation_id:path>/trigger_intent POST trigger_intent

/model DELETE unload_model

/version GET version

2021-06-29 06:31:01 INFO root - Starting Rasa server on http://localhost:5005

2021-06-29 06:31:01 DEBUG rasa.core.utils - Using the default number of Sanic workers (1).

2021-06-29 06:31:01 INFO root - Enabling coroutine debugging. Loop id 92476912.

2021-06-29 06:31:01 INFO rasa.model - Loading model models/20210628-225258.tar.gz...

2021-06-29 06:31:01 DEBUG rasa.model - Extracted model to '/tmp/tmpmeay06bs'.

2021-06-29 06:31:03 DEBUG root - Could not load interpreter from 'models'.

2021-06-29 06:31:03 DEBUG rasa.core.tracker_store - Connected to InMemoryTrackerStore.

2021-06-29 06:31:03 DEBUG rasa.core.lock_store - Connected to lock store 'InMemoryLockStore'.

2021-06-29 06:31:03 DEBUG rasa.model - Extracted model to '/tmp/tmpdpwnqvqz'.

2021-06-29 06:31:04 ERROR rasa.core.agent - Could not load model due to cannot reshape array of size 170529788 into shape (684830,300).

/opt/venv/lib/python3.8/site-packages/rasa/shared/utils/io.py:97: UserWarning: The model at 'models' could not be loaded. Error: <class 'ValueError'>: cannot reshape array of size 170529788 into shape (684830,300)

/opt/venv/lib/python3.8/site-packages/rasa/shared/utils/io.py:97: UserWarning: Agent could not be loaded with the provided configuration. Load default agent without any model.

2021-06-29 06:31:04 DEBUG rasa.core.nlg.generator - Instantiated NLG to 'TemplatedNaturalLanguageGenerator'.

2021-06-29 06:31:04 INFO root - Rasa server is up and running.

Was this ever solved? I have the exact same error while loading a Spacy model in docker (_lg)