Unable to determine this model’s pipeline type for PEFT-Alpaca Lora model

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Hey there, I have a fine-tuned PEFT / Alpaca-LoRA model that I want to use for model inference in an API for an app that we’re developing.

Right now when I go to the model hub, I see the error message in the subject line. From my reading of the linked documentation, you need to specify the model architecture in the config.json file, and I did that with the following lines:

from peft import PeftModel, PeftConfig
from transformers import AutoModelForCausalLM

config = PeftConfig.from_pretrained("dsml-ngpt/train_0_1_0")

model = AutoModelForCausalLM.from_pretrained("yahma/llama-7b-hf")
model = PeftModel.from_pretrained(model, "dsml-ngpt/train_0_1_0")
model.config.to_json_file('config.json')

My config.json file looks like this:

{
  "_name_or_path": "yahma/llama-7b-hf",
  "architectures": [
    "LlamaForCausalLM"
  ],
  "bos_token_id": 1,
  "eos_token_id": 2,
  "hidden_act": "silu",
  "hidden_size": 4096,
  "initializer_range": 0.02,
  "intermediate_size": 11008,
  "max_position_embeddings": 2048,
  "model_type": "llama",
  "num_attention_heads": 32,
  "num_hidden_layers": 32,
  "num_key_value_heads": 32,
  "pad_token_id": 0,
  "pretraining_tp": 1,
  "rms_norm_eps": 1e-06,
  "rope_scaling": null,
  "tie_word_embeddings": false,
  "torch_dtype": "float16",
  "transformers_version": "4.32.1",
  "use_cache": true,
  "vocab_size": 32000
}

However, when I added that to the huggingface repo, the problem has not gone away.

Any suggestions?

Thank you.

Model repo can be found here: dsml-ngpt/train_0_1_0 at main