runtime error

Exit code: 1. Reason: Loading sgattup/EstellaExplainerLLM... Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads. tokenizer_config.json: 0%| | 0.00/6.86k [00:00<?, ?B/s] tokenizer_config.json: 100%|██████████| 6.86k/6.86k [00:00<00:00, 15.2MB/s] tokenizer.json: 0%| | 0.00/32.2M [00:00<?, ?B/s] tokenizer.json: 100%|██████████| 32.2M/32.2M [00:00<00:00, 48.6MB/s] chat_template.jinja: 0%| | 0.00/16.8k [00:00<?, ?B/s] chat_template.jinja: 100%|██████████| 16.8k/16.8k [00:00<00:00, 44.6MB/s] Traceback (most recent call last): File "/app/app.py", line 43, in <module> model = AutoModelForCausalLM.from_pretrained( MODEL_ID, torch_dtype=torch.float16, device_map="auto" ) File "/usr/local/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 338, in from_pretrained config, kwargs = AutoConfig.from_pretrained( ~~~~~~~~~~~~~~~~~~~~~~~~~~^ pretrained_model_name_or_path, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ...<4 lines>... **kwargs, ^^^^^^^^^ ) ^ File "/usr/local/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 421, in from_pretrained raise ValueError( ...<2 lines>... ) ValueError: Unrecognized model in sgattup/EstellaExplainerLLM. Should have a `model_type` key in its config.json.

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