(lmdeploy) C:\Users\31940>lmdeploy lite auto_awq D:\LLM\models\LLM\OpenGVLab\InternVL2_5-8B --calib-dataset ptb --calib-samples 128 --calib-seqlen 2048 --w-bits 4 --w-group-size 128 --batch-size 1 --work-dir D:\LLM\models\LLM\OpenGVLab\InternVL2_5-8B-AWQ
2024-12-08 15:23:36,569 - lmdeploy - INFO - builder.py:64 - matching vision model: InternVLVisionModel
E:\Programming\pycodes\miniconda3\envs\lmdeploy\lib\site-packages\timm\models\layers_init_.py:48: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers
warnings.warn(f"Importing from {name} is deprecated, please import via timm.layers", FutureWarning)
InternLM2ForCausalLM has generative capabilities, as prepare_inputs_for_generation is explicitly overwritten. However, it doesn't directly inherit from GenerationMixin. From 👉v4.50👈 onwards, PreTrainedModel will NOT inherit from GenerationMixin, and this model will lose the ability to call generate and other related functions.

• If you're using trust_remote_code=True, you can get rid of this warning by loading the model with an auto class. See https://huggingface.co/docs/transformers/en/model_doc/auto#auto-classes
• If you are the owner of the model architecture code, please modify your model class such that it inherits from GenerationMixin (after PreTrainedModel, otherwise you'll get an exception).
• If you are not the owner of the model architecture class, please contact the model code owner to update it.
  2024-12-08 15:24:03,429 - lmdeploy - INFO - internvl.py:120 - using InternVL-Chat-V1-5 vision preprocess
  Move model.tok_embeddings to GPU.
  Move model.layers.0 to CPU.
  Move model.layers.1 to CPU.
  Move model.layers.2 to CPU.
  Move model.layers.3 to CPU.
  Move model.layers.4 to CPU.
  Move model.layers.5 to CPU.
  Move model.layers.6 to CPU.
  Move model.layers.7 to CPU.
  Move model.layers.8 to CPU.
  Move model.layers.9 to CPU.
  Move model.layers.10 to CPU.
  Move model.layers.11 to CPU.
  Move model.layers.12 to CPU.
  Move model.layers.13 to CPU.
  Move model.layers.14 to CPU.
  Move model.layers.15 to CPU.
  Move model.layers.16 to CPU.
  Move model.layers.17 to CPU.
  Move model.layers.18 to CPU.
  Move model.layers.19 to CPU.
  Move model.layers.20 to CPU.
  Move model.layers.21 to CPU.
  Move model.layers.22 to CPU.
  Move model.layers.23 to CPU.
  Move model.layers.24 to CPU.
  Move model.layers.25 to CPU.
  Move model.layers.26 to CPU.
  Move model.layers.27 to CPU.
  Move model.layers.28 to CPU.
  Move model.layers.29 to CPU.
  Move model.layers.30 to CPU.
  Move model.layers.31 to CPU.
  Move model.norm to GPU.
  Move output to CPU.
  Loading calibrate dataset ...
  Token indices sequence length is longer than the specified maximum sequence length for this model (1085165 > 16384). Running this sequence through the model will result in indexing errors
  model.layers.0, samples: 128, max gpu memory: 7.14 GB
  model.layers.1, samples: 128, max gpu memory: 9.14 GB
  model.layers.2, samples: 128, max gpu memory: 9.14 GB
  model.layers.3, samples: 128, max gpu memory: 9.14 GB
  model.layers.4, samples: 128, max gpu memory: 9.14 GB
  model.layers.5, samples: 128, max gpu memory: 9.14 GB
  model.layers.6, samples: 128, max gpu memory: 9.14 GB
  model.layers.7, samples: 128, max gpu memory: 9.14 GB
  model.layers.8, samples: 128, max gpu memory: 9.14 GB
  model.layers.9, samples: 128, max gpu memory: 9.14 GB
  model.layers.10, samples: 128, max gpu memory: 9.14 GB
  model.layers.11, samples: 128, max gpu memory: 9.14 GB
  model.layers.12, samples: 128, max gpu memory: 9.14 GB
  model.layers.13, samples: 128, max gpu memory: 9.14 GB
  model.layers.14, samples: 128, max gpu memory: 9.14 GB
  model.layers.15, samples: 128, max gpu memory: 9.14 GB
  model.layers.16, samples: 128, max gpu memory: 9.14 GB
  model.layers.17, samples: 128, max gpu memory: 9.14 GB
  model.layers.18, samples: 128, max gpu memory: 9.14 GB
  model.layers.19, samples: 128, max gpu memory: 9.14 GB
  model.layers.20, samples: 128, max gpu memory: 9.14 GB
  model.layers.21, samples: 128, max gpu memory: 9.14 GB
  model.layers.22, samples: 128, max gpu memory: 9.14 GB
  model.layers.23, samples: 128, max gpu memory: 9.14 GB
  model.layers.24, samples: 128, max gpu memory: 9.14 GB
  model.layers.25, samples: 128, max gpu memory: 9.14 GB

Just ignore the warning. It does not influence the quantization.