How to set `trust_remote_code=True` in privateGPT to use nomic-ai/nomic-embed-text-v1.5 embed model from huggingface.co?

[01PAfXWT]

First of all, grateful thanks to the authors of privateGPT for developing such a great app.

However, when I tried to use nomic-ai/nomic-embed-text-v1.5 from huggingface.co as an embedding model coupled with llamacpp for local setups, an error occurred as follows:

ValueError: Loading nomic-ai/nomic-embed-text-v1.5 requires you to execute the configuration file in that repo on your local machine. Make sure you have read the code there to avoid malicious use, then set the option `trust_remote_code=True` to remove this error.

I am wondering how I can set the trust_remote_code=True option and properly pass it to privateGPT. I tried inserting trust_remote_code: true in the huggingface or llamacpp section in the yaml file, but it did not work.

The following is my configuration profile.

server:
  env_name: ${APP_ENV:demo-local}

llm:
  mode: llamacpp
  max_new_tokens: 512
  context_window: 3900
  tokenizer: mistralai/Mistral-7B-Instruct-v0.2
  temperature: 0.1  

llamacpp:
  prompt_style: "mistral"
  llm_hf_repo_id: TheBloke/Mistral-7B-Instruct-v0.2-GGUF
  llm_hf_model_file: mistral-7b-instruct-v0.2.Q4_K_M.gguf
  tfs_z: 1.0 
  top_k: 40 
  top_p: 1.0 
  repeat_penalty: 1.1

embedding:
  mode: huggingface
  embed_dim: 768
  ingest_mode: pipeline
  count_workers: 4

huggingface:
  embedding_hf_model_name: nomic-ai/nomic-embed-text-v1.5

rag:
  similarity_top_k: 5
  rerank:
    enabled: false
    model: cross-encoder/ms-marco-MiniLM-L-2-v2
    top_n: 3

data:
  local_data_folder: ../KBs/demo

vectorstore:
  database: qdrant

qdrant:
  path: ../KBs/demo/qdrant

nodestore:
  database: simple

Any suggestions? Thank you.

[hamzahassan66]

@01PAfXWT Hi, same situation here. did you find any solution for this?

[01PAfXWT]

To set the trust_remote_code option in privateGPT, you need to modify the following code sections: 1) add definition of trust_remote_code to private_gpt\settings\settings.py , the default value is set to False.

class HuggingFaceSettings(BaseModel):
    embedding_hf_model_name: str = Field(
        description="Name of the HuggingFace model to use for embeddings"
    )
    access_token: str = Field(
        None,
        description="Huggingface access token, required to download some models",
    )
    trust_remote_code: bool = Field(
        False,
        description="Trust remote code when downloading models",
    )

2) insert trust_remote_code=settings.huggingface.trust_remote_code, to private_gpt\components\embedding\embedding_component.py :

self.embedding_model = HuggingFaceEmbedding(
                    model_name=settings.huggingface.embedding_hf_model_name,
                    cache_folder=str(models_cache_path),
                    trust_remote_code=settings.huggingface.trust_remote_code,
                )

3) finally, add trust_remote_code:true to settings-{profile}.yaml

huggingface:
  embedding_hf_model_name: nomic-ai/nomic-embed-text-v1.5
  access_token: ${HUGGINGFACE_TOKEN:********}
  trust_remote_code: true

Above modifications work for me.

[hamzahassan66]

@01PAfXWT Worked like a charm, thanks mate 👍