alexandreteles

/

bonito-v1-awq

like 1

@alexandreteles I tried to load the model the way you mentioned using Bonito class (code below):

from bonito import Bonito

# Initialize the Bonito model
bonito = Bonito("alexandreteles/bonito-v1-awq", dtype="float16")

But I am getting the following error:

...
/usr/local/lib/python3.10/dist-packages/vllm/model_executor/model_loader.py in get_model(model_config, device_config, **kwargs)
     84         else:
     85             # Load the weights from the cached or downloaded files.
---> 86             model.load_weights(model_config.model, model_config.download_dir,
     87                                model_config.load_format, model_config.revision)
     88     return model.eval()

/usr/local/lib/python3.10/dist-packages/vllm/model_executor/models/llama.py in load_weights(self, model_name_or_path, cache_dir, load_format, revision)
    389                 weight_loader = getattr(param, "weight_loader",
    390                                         default_weight_loader)
--> 391                 weight_loader(param, loaded_weight)

/usr/local/lib/python3.10/dist-packages/vllm/model_executor/layers/linear.py in weight_loader(self, param, loaded_weight)
    550             shard_size = param_data.shape[input_dim]
    551             start_idx = tp_rank * shard_size
--> 552             loaded_weight = loaded_weight.narrow(input_dim, start_idx,
    553                                                  shard_size)
    554         assert param_data.shape == loaded_weight.shape

RuntimeError: start (0) + length (14336) exceeds dimension size (4096).

The stack trace is truncated, do let me know if you need the complete one. Perhaps I am loading the model wrong or missing some additional steps?

Your help is appreciated.